sociology essay gender inequality

12.2 Gender and Gender Inequality

Learning objectives.

By the end of this section, you should be able to:

• Explain the influence of socialization on gender roles in the United States
• Explain the stratification of gender in major American institutions
• Provide examples of gender inequality in the United States
• Describe the rise of feminism in the United States
• Describe gender from the view of each sociological perspective

Gender and Socialization

The phrase “boys will be boys” is often used to justify behavior such as pushing, shoving, or other forms of aggression from young boys. The phrase implies that such behavior is unchangeable and something that is part of a boy’s nature. Aggressive behavior, when it does not inflict significant harm, is often accepted from boys and men because it is congruent with the cultural script for masculinity. The “script” written by society is in some ways similar to a script written by a playwright. Just as a playwright expects actors to adhere to a prescribed script, society expects women and men to behave according to the expectations of their respective gender roles. Scripts are generally learned through a process known as socialization, which teaches people to behave according to social norms.

Socialization

Children learn at a young age that there are distinct expectations for boys and girls. Cross-cultural studies reveal that children are aware of gender roles by age two or three. At four or five, most children are firmly entrenched in culturally appropriate gender roles (Kane 1996). Children acquire these roles through socialization, a process in which people learn to behave in a particular way as dictated by societal values, beliefs, and attitudes. For example, society often views riding a motorcycle as a masculine activity and, therefore, considers it to be part of the male gender role. Attitudes such as this are typically based on stereotypes, oversimplified notions about members of a group. Gender stereotyping involves overgeneralizing about the attitudes, traits, or behavior patterns of women or men. For example, women may be thought of as too timid or weak to ride a motorcycle.

Gender stereotypes form the basis of sexism. Sexism refers to prejudiced beliefs that value one sex over another. It varies in its level of severity. In parts of the world where women are strongly undervalued, young girls may not be given the same access to nutrition, healthcare, and education as boys. Further, they will grow up believing they deserve to be treated differently from boys (UNICEF 2011; Thorne 1993). While it is illegal in the United States when practiced as discrimination, unequal treatment of women continues to pervade social life. It should be noted that discrimination based on sex occurs at both the micro- and macro-levels. Many sociologists focus on discrimination that is built into the social structure; this type of discrimination is known as institutional discrimination (Pincus 2008).

Gender socialization occurs through four major agents of socialization: family, education, peer groups, and mass media. Each agent reinforces gender roles by creating and maintaining normative expectations for gender-specific behavior. Exposure also occurs through secondary agents such as religion and the workplace. Repeated exposure to these agents over time leads men and women into a false sense that they are acting naturally rather than following a socially constructed role.

Family is the first agent of socialization. There is considerable evidence that parents socialize sons and daughters differently. Generally speaking, girls are given more latitude to step outside of their prescribed gender role (Coltrane and Adams 2004; Kimmel 2000; Raffaelli and Ontai 2004). However, differential socialization typically results in greater privileges afforded to sons. For instance, boys are allowed more autonomy and independence at an earlier age than daughters. They may be given fewer restrictions on appropriate clothing, dating habits, or curfew. Sons are also often free from performing domestic duties such as cleaning or cooking and other household tasks that are considered feminine. Daughters are limited by their expectation to be passive and nurturing, generally obedient, and to assume many of the domestic responsibilities.

Even when parents set gender equality as a goal, there may be underlying indications of inequality. For example, boys may be asked to take out the garbage or perform other tasks that require strength or toughness, while girls may be asked to fold laundry or perform duties that require neatness and care. It has been found that fathers are firmer in their expectations for gender conformity than are mothers, and their expectations are stronger for sons than they are for daughters (Kimmel 2000). This is true in many types of activities, including preference for toys, play styles, discipline, chores, and personal achievements. As a result, boys tend to be particularly attuned to their father’s disapproval when engaging in an activity that might be considered feminine, like dancing or singing (Coltraine and Adams 2008). Parental socialization and normative expectations also vary along lines of social class, race, and ethnicity. African American families, for instance, are more likely than Caucasians to model an egalitarian role structure for their children (Staples and Boulin Johnson 2004).

The reinforcement of gender roles and stereotypes continues once a child reaches school age. Until very recently, schools were rather explicit in their efforts to stratify boys and girls. The first step toward stratification was segregation. Girls were encouraged to take home economics or humanities courses and boys to take math and science.

Studies suggest that gender socialization still occurs in schools today, perhaps in less obvious forms (Lips 2004). Teachers may not even realize they are acting in ways that reproduce gender differentiated behavior patterns. Yet any time they ask students to arrange their seats or line up according to gender, teachers may be asserting that boys and girls should be treated differently (Thorne 1993).

Even in levels as low as kindergarten, schools subtly convey messages to girls indicating that they are less intelligent or less important than boys. For example, in a study of teacher responses to male and female students, data indicated that teachers praised male students far more than female students. Teachers interrupted girls more often and gave boys more opportunities to expand on their ideas (Sadker and Sadker 1994). Further, in social as well as academic situations, teachers have traditionally treated boys and girls in opposite ways, reinforcing a sense of competition rather than collaboration (Thorne 1993). Boys are also permitted a greater degree of freedom to break rules or commit minor acts of deviance, whereas girls are expected to follow rules carefully and adopt an obedient role (Ready 2001).

Mimicking the actions of significant others is the first step in the development of a separate sense of self (Mead 1934). Like adults, children become agents who actively facilitate and apply normative gender expectations to those around them. When children do not conform to the appropriate gender role, they may face negative sanctions such as being criticized or marginalized by their peers. Though many of these sanctions are informal, they can be quite severe. For example, a girl who wishes to take karate class instead of dance lessons may be called a “tomboy” and face difficulty gaining acceptance from both male and female peer groups (Ready 2001). Boys, especially, are subject to intense ridicule for gender nonconformity (Coltrane and Adams 2004; Kimmel 2000).

Mass media serves as another significant agent of gender socialization. In television and movies, women tend to have less significant roles and are often portrayed as wives or mothers. When women are given a lead role, it often falls into one of two extremes: a wholesome, saint-like figure or a malevolent, hypersexual figure (Etaugh and Bridges 2003). This same inequality is pervasive in children’s movies (Smith 2008). Research indicates that in the ten top-grossing G-rated movies released between 1991 and 2013, nine out of ten characters were male (Smith 2008).

Television commercials and other forms of advertising also reinforce inequality and gender-based stereotypes. Women are almost exclusively present in ads promoting cooking, cleaning, or childcare-related products (Davis 1993). Think about the last time you saw a man star in a dishwasher or laundry detergent commercial. In general, women are underrepresented in roles that involve leadership, intelligence, or a balanced psyche. Of particular concern is the depiction of women in ways that are dehumanizing, especially in music videos. Even in mainstream advertising, however, themes intermingling violence and sexuality are quite common (Kilbourne 2000).

Social Stratification and Inequality

Stratification refers to a system in which groups of people experience unequal access to basic, yet highly valuable, social resources. There is a long history of gender stratification in the United States. When looking to the past, it would appear that society has made great strides in terms of abolishing some of the most blatant forms of gender inequality (see timeline below) but underlying effects of male dominance still permeate many aspects of society.

• Before 1809—Women could not execute a will
• Before 1840—Women were not allowed to own or control property
• Before 1920—Women were not permitted to vote
• Before 1963—Employers could legally pay a woman less than a man for the same work
• Before 1973—Women did not have the right to a safe and legal abortion (Imbornoni 2009)

The Pay Gap

Despite making up nearly half (49.8 percent) of payroll employment, men vastly outnumber women in authoritative, powerful, and, therefore, high-earning jobs (U.S. Census Bureau 2010). Even when a woman’s employment status is equal to a man’s, she will generally make only 81 cents for every dollar made by her male counterpart (Payscale 2020). Women in the paid labor force also still do the majority of the unpaid work at home. On an average day, 84 percent of women (compared to 67 percent of men) spend time doing household management activities (U.S. Census Bureau 2011). This double duty keeps working women in a subordinate role in the family structure (Hochschild and Machung 1989).

Gender stratification through the division of labor is not exclusive to the United States. According to George Murdock’s classic work, Outline of World Cultures (1954), all societies classify work by gender. When a pattern appears in all societies, it is called a cultural universal. While the phenomenon of assigning work by gender is universal, its specifics are not. The same task is not assigned to either men or women worldwide. But the way each task’s associated gender is valued is notable. In Murdock’s examination of the division of labor among 324 societies around the world, he found that in nearly all cases the jobs assigned to men were given greater prestige (Murdock and White 1968). Even if the job types were very similar and the differences slight, men’s work was still considered more vital.

Part of the gender pay gap can be attributed to unique barriers faced by women regarding work experience and promotion opportunities. A mother of young children is more likely to drop out of the labor force for several years or work on a reduced schedule than is the father. As a result, women in their 30s and 40s are likely, on average, to have less job experience than men. This effect becomes more evident when considering the pay rates of two groups of women: those who did not leave the workforce and those who did: In the United States, childless women with the same education and experience levels as men are typically paid with closer (but not exact) parity to men. However, women with families and children are paid less: Mothers are recommended a 7.9 percent lower starting salary than non-mothers, which is 8.6 percent lower than men (Correll 2007).

This evidence points to levels of discrimination that go beyond behaviors by individual companies or organizations. As discussed earlier in the gender roles section, many of these gaps are rooted in America’s social patterns of discrimination, which involve the roles that different genders play in child-rearing, rather than individual discrimination by employers in hiring and salary decisions. On the other hand, legal and ethical practices demand that organizations do their part to promote more equity among all genders.

The Glass Ceiling

The idea that women are unable to reach the executive suite is known as the glass ceiling. It is an invisible barrier that women encounter when trying to win jobs in the highest level of business. At the beginning of 2021, for example, a record 41 of the world’s largest 500 companies were run by women. While a vast improvement over the number twenty years earlier – where only two of the companies were run by women – these 41 chief executives still only represent eight percent of those large companies (Newcomb 2020).

Why do women have a more difficult time reaching the top of a company? One idea is that there is still a stereotype in the United States that women aren’t aggressive enough to handle the boardroom or that they tend to seek jobs and work with other women (Reiners 2019). Other issues stem from the gender biases based on gender roles and motherhood discussed above.

Another idea is that women lack mentors, executives who take an interest and get them into the right meetings and introduce them to the right people to succeed (Murrell & Blake-Beard 2017).

Women in Politics

One of the most important places for women to help other women is in politics. Historically in the United States, like many other institutions, political representation has been mostly made up of White men. By not having women in government, their issues are being decided by people who don’t share their perspective. The number of women elected to serve in Congress has increased over the years, but does not yet accurately reflect the general population. For example, in 2018, the population of the United States was 49 percent male and 51 percent female, but the population of Congress was 78.8 percent male and 21.2 percent female (Manning 2018). Over the years, the number of women in the federal government has increased, but until it accurately reflects the population, there will be inequalities in our laws.

Movements for Change: Feminism

One of the underlying issues that continues to plague women in the United States is misogyny . This is the hatred of or, aversion to, or prejudice against women. Over the years misogyny has evolved as an ideology that men are superior to women in all aspects of life. There have been multiple movements to try and fight this prejudice.

In 1963, writer and feminist Betty Friedan published The Feminine Mystique in which she contested the post-World War II belief that it was women’s sole destiny to marry and bear children. Friedan’s book began to raise the consciousness of many women who agreed that homemaking in the suburbs sapped them of their individualism and left them unsatisfied. In 1966, the National Organization for Women (NOW) formed and proceeded to set an agenda for the feminist movement . Framed by a statement of purpose written by Friedan, the agenda began by proclaiming NOW’s goal to make possible women’s participation in all aspects of American life and to gain for them all the rights enjoyed by men.

Feminists engaged in protests and actions designed to bring awareness and change. For example, the New York Radical Women demonstrated at the 1968 Miss America Pageant in Atlantic City to bring attention to the contest’s—and society’s—exploitation of women. The protestors tossed instruments of women’s oppression, including high-heeled shoes, curlers, girdles, and bras, into a “freedom trash can.” News accounts incorrectly described the protest as a “bra burning,” which at the time was a way to demean and trivialize the issue of women’s rights (Gay 2018).

Other protests gave women a more significant voice in a male-dominated social, political, and entertainment climate. For decades, Ladies Home Journal had been a highly influential women’s magazine, managed and edited almost entirely by men. Men even wrote the advice columns and beauty articles. In 1970, protesters held a sit-in at the magazine’s offices, demanding that the company hire a woman editor-in-chief, add women and non-White writers at fair pay, and expand the publication’s focus.

Feminists were concerned with far more than protests, however. In the 1970s, they opened battered women’s shelters and successfully fought for protection from employment discrimination for pregnant women, reform of rape laws (such as the abolition of laws requiring a witness to corroborate a woman’s report of rape), criminalization of domestic violence, and funding for schools that sought to counter sexist stereotypes of women. In 1973, the U.S. Supreme Court in Roe v. Wade invalidated a number of state laws under which abortions obtained during the first three months of pregnancy were illegal. This made a nontherapeutic abortion a legal medical procedure nationwide.

Gloria Steinem had pushed through gender barriers to take on serious journalism subjects, and had emerged as a prominent advocate for women’s rights. Through her work, Steinem met Dorothy Pittman-Hughes, who had founded New York City’s first shelter for domestic violence victims as well as the city’s Agency for Child Development. Together they founded Ms . Magazine, which avoided articles on homemaking and fashion in favor of pieces on women’s rights and empowerment. Ms . showcased powerful and accomplished women such as Shirley Chisholm and Sissy Farenthold, and was among the first publications to bring domestic violence, sexual harassment, and body image issues to the national conversation (Pogrebrin 2011).

Many advances in women’s rights were the result of women’s greater engagement in politics. For example, Patsy Mink, the first Asian American woman elected to Congress, was the co-author of the Education Amendments Act of 1972, Title IX of which prohibits sex discrimination in education. Mink had been interested in fighting discrimination in education since her youth, when she opposed racial segregation in campus housing while a student at the University of Nebraska. She went to law school after being denied admission to medical school because of her gender. Like Mink, many other women sought and won political office, many with the help of the National Women’s Political Caucus (NWPC). In 1971, the NWPC was formed by Bella Abzug, Gloria Steinem, Shirley Chisholm, and other leading feminists to encourage women’s participation in political parties, elect women to office, and raise money for their campaign.

Shirley Chisholm personally took up the mantle of women’s involvement in politics. Born of immigrant parents, she earned degrees from Brooklyn College and Columbia University, and began a career in early childhood education and advocacy. In the 1950’s she joined various political action groups, worked on election campaigns, and pushed for housing and economic reforms. After leaving one organization over its refusal to involve women in the decision-making process, she sought to increase gender and racial diversity within political and activist organizations throughout New York City. In 1968, she became the first Black woman elected to Congress. Refusing to take the quiet role expected of new Representatives, she immediately began sponsoring bills and initiatives. She spoke out against the Vietnam War, and fought for programs such as Head Start and the national school lunch program, which was eventually signed into law after Chisholm led an effort to override a presidential veto. Chisholm would eventually undertake a groundbreaking presidential run in 1972, and is viewed as paving the way for other women, and especially women of color, achieving political and social prominence (Emmrich 2019).

Theoretical Perspectives on Gender

Sociological theories help sociologists to develop questions and interpret data. For example, a sociologist studying why middle-school girls are more likely than their male counterparts to fall behind grade-level expectations in math and science might use a feminist perspective to frame her research. Another scholar might proceed from the conflict perspective to investigate why women are underrepresented in political office, and an interactionist might examine how the symbols of femininity interact with symbols of political authority to affect how women in Congress are treated by their male counterparts in meetings.

Structural Functionalism

Structural functionalism has provided one of the most important perspectives of sociological research in the twentieth century and has been a major influence on research in the social sciences, including gender studies. Viewing the family as the most integral component of society, assumptions about gender roles within marriage assume a prominent place in this perspective.

Functionalists argue that gender roles were established well before the pre-industrial era when men typically took care of responsibilities outside of the home, such as hunting, and women typically took care of the domestic responsibilities in or around the home. These roles were considered functional because women were often limited by the physical restraints of pregnancy and nursing and unable to leave the home for long periods of time. Once established, these roles were passed on to subsequent generations since they served as an effective means of keeping the family system functioning properly.

When changes occurred in the social and economic climate of the United States during World War II, changes in the family structure also occurred. Many women had to assume the role of breadwinner (or modern hunter-gatherer) alongside their domestic role in order to stabilize a rapidly changing society. When the men returned from war and wanted to reclaim their jobs, society fell back into a state of imbalance, as many women did not want to forfeit their wage-earning positions (Hawke 2007).

Conflict Theory

According to conflict theory, society is a struggle for dominance among social groups (like women versus men) that compete for scarce resources. When sociologists examine gender from this perspective, we can view men as the dominant group and women as the subordinate group. According to conflict theory, social problems are created when dominant groups exploit or oppress subordinate groups. Consider the Women’s Suffrage Movement or the debate over women’s “right to choose” their reproductive futures. It is difficult for women to rise above men, as dominant group members create the rules for success and opportunity in society (Farrington and Chertok 1993).

Friedrich Engels, a German sociologist, studied family structure and gender roles. Engels suggested that the same owner-worker relationship seen in the labor force is also seen in the household, with women assuming the role of the proletariat. This is due to women’s dependence on men for the attainment of wages, which is even worse for women who are entirely dependent upon their spouses for economic support. Contemporary conflict theorists suggest that when women become wage earners, they can gain power in the family structure and create more democratic arrangements in the home, although they may still carry the majority of the domestic burden, as noted earlier (Rismanand and Johnson-Sumerford 1998).

Feminist Theory

Feminist theory is a type of conflict theory that examines inequalities in gender-related issues. It uses the conflict approach to examine the maintenance of gender roles and inequalities. Radical feminism, in particular, considers the role of the family in perpetuating male dominance. In patriarchal societies, men’s contributions are seen as more valuable than those of women. Patriarchal perspectives and arrangements are widespread and taken for granted. As a result, women’s viewpoints tend to be silenced or marginalized to the point of being discredited or considered invalid.

Sanday’s study of the Indonesian Minangkabau (2004) revealed that in societies some consider to be matriarchies (where women comprise the dominant group), women and men tend to work cooperatively rather than competitively regardless of whether a job is considered feminine by U.S. standards. The men, however, do not experience the sense of bifurcated consciousness under this social structure that modern U.S. females encounter (Sanday 2004).

Symbolic Interactionism

Symbolic interactionism aims to understand human behavior by analyzing the critical role of symbols in human interaction. This is certainly relevant to the discussion of masculinity and femininity. Imagine that you walk into a bank hoping to get a small loan for school, a home, or a small business venture. If you meet with a male loan officer, you may state your case logically by listing all the hard numbers that make you a qualified applicant as a means of appealing to the analytical characteristics associated with masculinity. If you meet with a female loan officer, you may make an emotional appeal by stating your good intentions as a means of appealing to the caring characteristics associated with femininity.

Because the meanings attached to symbols are socially created and not natural, and fluid, not static, we act and react to symbols based on the current assigned meaning. The word gay , for example, once meant “cheerful,” but by the 1960s it carried the primary meaning of “homosexual.” In transition, it was even known to mean “careless” or “bright and showing” (Oxford American Dictionary 2010). Furthermore, the word gay (as it refers to a person), carried a somewhat negative and unfavorable meaning fifty years ago, but it has since gained more neutral and even positive connotations. When people perform tasks or possess characteristics based on the gender role assigned to them, they are said to be doing gender . This notion is based on the work of West and Zimmerman (1987). Whether we are expressing our masculinity or femininity, West and Zimmerman argue, we are always "doing gender." Thus, gender is something we do or perform, not something we are.

In other words, both gender and sexuality are socially constructed. The social construction of sexuality refers to the way in which socially created definitions about the cultural appropriateness of sex-linked behavior shape the way people see and experience sexuality. This is in marked contrast to theories of sex, gender, and sexuality that link male and female behavior to biological determinism , or the belief that men and women behave differently due to differences in their biology.

Sociological Research

Being male, being female, and being healthy.

In 1971, Broverman and Broverman conducted a groundbreaking study on the traits mental health workers ascribed to males and females. When asked to name the characteristics of a female, the list featured words such as unaggressive, gentle, emotional, tactful, less logical, not ambitious, dependent, passive, and neat. The list of male characteristics featured words such as aggressive, rough, unemotional, blunt, logical, direct, active, and sloppy (Seem and Clark 2006). Later, when asked to describe the characteristics of a healthy person (not gender specific), the list was nearly identical to that of a male.

This study uncovered the general assumption that being female is associated with being somewhat unhealthy or not of sound mind. This concept seems extremely dated, but in 2006, Seem and Clark replicated the study and found similar results. Again, the characteristics associated with a healthy male were very similar to that of a healthy (genderless) adult. The list of characteristics associated with being female broadened somewhat but did not show significant change from the original study (Seem and Clark 2006). This interpretation of feminine characteristic may help us one day better understand gender disparities in certain illnesses, such as why one in eight women can be expected to develop clinical depression in her lifetime (National Institute of Mental Health 1999). Perhaps these diagnoses are not just a reflection of women’s health, but also a reflection of society’s labeling of female characteristics, or the result of institutionalized sexism.

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How Gender Inequality Persists in the Modern World

• Gender & Sexuality
• Media & Public Opinion

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In the United States as in many other societies, gender relationships are changing and inequalities between men and women are questioned in virtually every sphere – at work, in the home, and in public affairs. Yet the cold, hard facts show that gender gaps and inequalities persist, even in the face of startling social and economic transformations and concerted movements to challenge women’s subordination.

How can this be? Especially in advanced industrial nations, why are gender inequalities proving so difficult to surpass? My research shows that the answers lie, above all, in how people think about gender as they relate to one another. Day by day people use gender as taken-for-granted common sense to manage their relationships with others. Interpersonal negotiations are constantly influenced by gender stereotypes – and that, in turn, causes older ways of thinking about men and women and their relationships to be carried into all spheres of life and even into very new kinds of tasks and social settings.

Continuing Gender Inequalities in the United States

There can be little doubt that gender inequality does still persist in the United States, as some striking facts make clear:

• Women still make only about 80% of what men earn for full time work.   
• Women are less likely to hold managerial or supervisory positions, and when they do, their positions carry less authority.   
• “Housewives” are perceived as in the lower half of all groups in social status, below “blue collar workers.”   
• Even when both partners earn wages, women do twice as much housework and child care.   
• To be sure, American women have made substantial gains since 1970. But gains have leveled off since the 1990s, suggesting that the gender revolution may be stalling – or at least slowing down. 

Making Sense of Persistent Gender Inequality

The persistence of gender inequality in the face of modern legal, economic, and political processes that work against it suggests that there must also be on-going social processes that continually recreate gender inequality. I have pulled together evidence from sociology, psychology, and the study of social cognition – how people perceive the social world – to develop an explanation of how gender differences and hierarchies function and end up being recreated again and again.

Research shows that widely shared gender stereotypes act as a “common knowledge” cultural frame that people use to begin the process of relating to one another and coordinating their interaction. That might seem obvious – and harmless. So what if people start out by classifying each other by gender and shaping their mutual contacts accordingly? As it turns out, the use of gender as an initial framing device in personal interactions has many unintended consequences, because gendered meanings get carried far beyond areas of life having directly to do with sex or reproduction. Social scientists and other observers have amassed lots of evidence showing that stereotypes and assumptions about men and women shape everyday personal interactions and shape gender inequalities in jobs, wages, authority, and family responsibilities.

Men, for example, tend to be seen as more authoritative and women more communal in orientation. In workplaces, this can readily lead people to expect and defer to men in charge – and to look to women to carry on routine group maintenance efforts. Studies show that in job interviews where men and women have the same qualifications, one gender gets more offers according to traditional assumptions about gender proclivities.

How People Approach New Situations

Similar social-psychological and interpersonal processes help explain how past gender relationships live on into the future, as older ideas and assumptions about men, women, and their relationships end up being used by everyone to shape new economic and social arrangements as they emerge. As research shows, “common knowledge” gender stereotypes change more slowly than do material arrangements between men and women, even though social beliefs do eventually respond to material changes. As a result of this cultural lag, people confront new, uncertain circumstances with traditional gender beliefs, especially because sites of innovation tend to be small and located outside established organizations. Ironically, both the uncertainty and the personal closeness of such innovative settings increase the likelihood that participants will draw on the convenient cultural frames to organize new ways of doing things.

In high-tech startups in Silicon Valley, for example, female scientists and engineers have been shown to be at a special disadvantage in small firms launched with a non-bureaucratic organizational culture. Small groups of men working flexibly and collegially often launch such ventures, which end up prospering in the marketplace. Without anyone consciously intending it, even very highly qualified women can be left to the side – and they are unlikely to make up ground as long as its original “boys’ club” atmosphere and assumptions about the kinds of people most likely to be innovative and high-achieving persist in the organization’s outlook and ways of attracting and promoting people. High-tech is not only innovative but male-dominated.

Are Gender Inequities Impossible to Overcome?

Once we understand how powerful everyday gender assumptions can be in shaping ongoing social relationships in all spheres, we better understand why gender inequalities are so difficult to overcome. Gender equality is not impossible to attain – but the struggle is constant and is sure to have ups and downs. My research also suggests that the fight for gender equality will have to be waged at the level of how people think, even as laws and institutional policies open new doors. Our assumptions about what women and men can and should do have a long way to catch up with the new possibilities created by education, economic innovation, and equal legal rights.

Read more in Cecilia L. Ridgeway, Framed by Gender: How Gender Inequality Persists in the Modern World (Oxford University Press, 2011).

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Twenty years of gender equality research: A scoping review based on a new semantic indicator

Paola belingheri.

1 Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy

Filippo Chiarello

Andrea fronzetti colladon.

2 Department of Engineering, University of Perugia, Perugia, Italy

3 Department of Management, Kozminski University, Warsaw, Poland

Paola Rovelli

4 Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

Associated Data

All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

Introduction

The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.

As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.

Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.

Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?

To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].

Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.

This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.

This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.

Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].

Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.

Data collection

In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.

Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.

In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.

Text processing and keyword extraction

Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].

The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.

In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.

Classification of research topics

To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.

Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.

Evaluation of semantic importance

Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].

The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.

The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].

Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].

The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.

This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.

Overview of main topics

In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.

Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.

Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.

Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.

In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).

There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .

The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.

Compensation

The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].

Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].

Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].

Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].

The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].

Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].

Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].

Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .

Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].

Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].

Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].

Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].

Decision-making

This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].

At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].

At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].

Career progression

Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .

Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].

In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].

Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .

A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].

The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].

Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].

Performance

Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].

At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].

Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].

Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].

Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].

The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].

Organization

The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].

Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].

Human capital

Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.

The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].

Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .

On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].

Emerging topics: Leadership and entrepreneurship

Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].

One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].

Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].

Research gaps and conclusions

Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.

At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].

All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?

The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.

Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.

Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?

Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.

For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.

With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.

Supporting information

Acknowledgments.

The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).

Funding Statement

P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.

Data Availability

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11.1 Understanding Sex and Gender

Learning objectives.

• Define sex and gender and femininity and masculinity.
• Critically assess the evidence on biology, culture and socialization, and gender.
• Discuss agents of gender socialization.

Although the terms sex and gender are sometimes used interchangeably and do in fact complement each other, they nonetheless refer to different aspects of what it means to be a woman or man in any society.

Sex refers to the anatomical and other biological differences between females and males that are determined at the moment of conception and develop in the womb and throughout childhood and adolescence. Females, of course, have two X chromosomes, while males have one X chromosome and one Y chromosome. From this basic genetic difference spring other biological differences. The first to appear are the different genitals that boys and girls develop in the womb and that the doctor (or midwife) and parents look for when a baby is born (assuming the baby’s sex is not already known from ultrasound or other techniques) so that the momentous announcement, “It’s a boy!” or “It’s a girl!” can be made. The genitalia are called primary sex characteristics , while the other differences that develop during puberty are called secondary sex characteristics and stem from hormonal differences between the two sexes. In this difficult period of adolescents’ lives, boys generally acquire deeper voices, more body hair, and more muscles from their flowing testosterone. Girls develop breasts and wider hips and begin menstruating as nature prepares them for possible pregnancy and childbirth. For better or worse, these basic biological differences between the sexes affect many people’s perceptions of what it means to be female or male, as we shall soon discuss.

Gender as a Social Construction

If sex is a biological concept, then gender is a social concept. It refers to the social and cultural differences a society assigns to people based on their (biological) sex. A related concept, gender roles , refers to a society’s expectations of people’s behavior and attitudes based on whether they are females or males. Understood in this way, gender, like race as discussed in Chapter 7 “Deviance, Crime, and Social Control” , is a social construction . How we think and behave as females and males is not etched in stone by our biology but rather is a result of how society expects us to think and behave based on what sex we are. As we grow up, we learn these expectations as we develop our gender identity , or our beliefs about ourselves as females or males.

These expectations are called femininity and masculinity . Femininity refers to the cultural expectations we have of girls and women, while masculinity refers to the expectations we have of boys and men. A familiar nursery rhyme nicely summarizes these two sets of traits:

What are little boys made of?

Snips and snails,

And puppy dog tails,

That’s what little boys are made of.

What are little girls made of?

Sugar and spice,

And everything nice,

That’s what little girls are made of.

As this nursery rhyme suggests, our traditional notions of femininity and masculinity indicate that we think females and males are fundamentally different from each other. In effect, we think of them as two sides of the same coin of being human. What we traditionally mean by femininity is captured in the adjectives, both positive and negative, we traditionally ascribe to women: gentle, sensitive, nurturing, delicate, graceful, cooperative, decorative, dependent, emotional, passive, and weak. Thus when we say that a girl or woman is very feminine, we have some combination of these traits, usually the positive ones, in mind: she is soft, dainty, pretty, even a bit flighty. What we traditionally mean by masculinity is captured in the adjectives, again both positive and negative, our society traditionally ascribes to men: strong, assertive, brave, active, independent, intelligent, competitive, insensitive, unemotional, and aggressive. When we say that a boy or man is very masculine, we have some combination of these traits in mind: he is tough, strong, and assertive.

Infant girls traditionally wear pink, while infant boys wear blue. This color difference reflects the different cultural expectations we have for babies based on their (biological) sex.

Abby Bischoff – CC BY-NC-ND 2.0.

These traits might sound like stereotypes of females and males in today’s society, and to some extent they are, but differences between men and women in attitudes and behavior do in fact exist (Aulette, Wittner, & Blakeley, 2009). For example, women cry more often than men do. Men are more physically violent than women. Women take care of children more than men do. Women smile more often than men. Men curse more often than women. When women talk with each other, they are more likely to talk about their personal lives than men are when they talk with each other (Tannen, 2001). The two sexes even differ when they hold a cigarette (not that anyone should smoke). When a woman holds a cigarette, she usually has the palm of her cigarette-holding hand facing upward. When a man holds a cigarette, he usually has his palm facing downward.

Sexual Orientation

Sexual orientation refers to a person’s preference for sexual relationships with individuals of the other sex ( heterosexuality ), one’s own sex ( homosexuality ), or both sexes ( bisexuality ). The term also increasingly refers to transgendered individuals, those whose behavior, appearance, and/or gender identity fails to conform to conventional norms. Transgendered individuals include transvestites (those who dress in the clothing of the opposite sex) and transsexuals (those whose gender identity differs from the physiological sex and who sometimes undergo a sex change).

It is difficult to know precisely how many people are gay, lesbian, bisexual, or transgendered. One problem is conceptual. For example, what does it mean to be gay or lesbian? Does one need to actually have sexual relations with a same-sex partner to be considered gay? What if someone is attracted to same-sex partners but does not actually engage in sex with such persons? What if someone identifies as heterosexual but engages in homosexual sex for money (as in certain forms of prostitution) or for power and influence (as in much prison sex)? These conceptual problems make it difficult to determine the extent of homosexuality.

A second problem is empirical. Even if we can settle on a definition of homosexuality, how do we then determine how many people fit this definition? For better or worse, our best evidence of the number of gays and lesbians in the United States comes from surveys of national samples of Americans in which they are asked various questions about their sexuality. Although these are anonymous surveys, obviously at least some individuals may be reluctant to disclose their sexual activity and thoughts to an interviewer. Still, scholars think the estimates from these surveys are fairly accurate but that they probably underestimate by at least a small amount the number of gays and lesbians.

A widely cited survey carried out by researchers at the University of Chicago found that 2.8% of men and 1.4% of women identified themselves as gay/lesbian or bisexual, with greater percentages reporting having had sexual relations with same-sex partners or being attracted to same-sex persons (see Table 11.1 “Prevalence of Homosexuality in the United States” ). In the 2008 General Social Survey, 2.2% of men and 3.5% of women identified themselves as gay/lesbian or bisexual. Among individuals having had any sexual partners since turning 18, 2.2% of men reported having had at least some male partners, while 4.6% of women reported having had at least some female partners. Although precise numbers must remain unknown, it seems fair to say that between about 2% and 5% of Americans are gay/lesbian or bisexual.

Table 11.1 Prevalence of Homosexuality in the United States

Source: Data from Laumann, E. O., Gagnon, J. H., Michael, R. T., & Michaels, S. (1994). The social organization of sexuality . Chicago, IL: University of Chicago Press.

If it is difficult to determine the number of people who are gay/lesbian or bisexual, it is even more difficult to determine why some people have this sexual orientation while most do not have it. Scholars disagree on the “causes” of sexual orientation (Engle, McFalls, Gallagher, & Curtis, 2006; Sheldon, Pfeffer, Jayaratne, Feldbaum, & Petty, 2007). Some scholars attribute it to unknown biological factor(s) over which individuals have no control, just as individuals do not decide whether they are left-handed or right-handed. Supporting this view, many gays say they realized they were gay during adolescence, just as straights would say they realized they were straight during their own adolescence. Other scholars say that sexual orientation is at least partly influenced by cultural norms, so that individuals are more likely to identify as gay or straight depending on the cultural views of sexual orientation into which they are socialized as they grow up. At best, perhaps all we can say is that sexual orientation stems from a complex mix of biological and cultural factors that remain to be determined.

The Development of Gender Differences

What accounts for differences in female and male behavior and attitudes? Do the biological differences between the sexes account for other differences? Or do these latter differences stem, as most sociologists think, from cultural expectations and from differences in the ways in which the sexes are socialized? These are critical questions, for they ask whether the differences between boys and girls and women and men stem more from biology or from society. As Chapter 2 “Eye on Society: Doing Sociological Research” pointed out, biological explanations for human behavior implicitly support the status quo. If we think behavioral and other differences between the sexes are due primarily to their respective biological makeups, we are saying that these differences are inevitable or nearly so and that any attempt to change them goes against biology and will likely fail.

As an example, consider the obvious biological fact that women bear and nurse children and men do not. Couple this with the common view that women are also more gentle and nurturing than men, and we end up with a “biological recipe” for women to be the primary caretakers of children. Many people think this means women are therefore much better suited than men to take care of children once they are born, and that the family might be harmed if mothers work outside the home or if fathers are the primary caretakers. Figure 11.1 “Belief That Women Should Stay at Home” shows that more than one-third of the public agrees that “it is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family.” To the extent this belief exists, women may not want to work outside the home or, if they choose to do so, they face difficulties from employers, family, and friends. Conversely, men may not even think about wanting to stay at home and may themselves face difficulties from employees, family, and friends if they want to do so. A belief in a strong biological basis for differences between women and men implies, then, that there is little we can or should do to change these differences. It implies that “anatomy is destiny,” and destiny is, of course, by definition inevitable.

Figure 11.1 Belief That Women Should Stay at Home

Agreement or disagreement with statement that “it is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family.”

Source: Data from General Social Survey, 2008.

This implication makes it essential to understand the extent to which gender differences do, in fact, stem from biological differences between the sexes or, instead, stem from cultural and social influences. If biology is paramount, then gender differences are perhaps inevitable and the status quo will remain. If culture and social influences matter much more than biology, then gender differences can change and the status quo may give way. With this backdrop in mind, let’s turn to the biological evidence for behavioral and other differences between the sexes and then examine the evidence for their social and cultural roots.

Biology and Gender

Several biological explanations for gender roles exist, and we discuss two of the most important ones here. One explanation is from the related fields of sociobiology (see Chapter 2 “Eye on Society: Doing Sociological Research” ) and evolutionary psychology (Workman & Reader, 2009) and argues an evolutionary basis for traditional gender roles.

Scholars advocating this view reason as follows (Barash, 2007; Thornhill & Palmer, 2000). In prehistoric societies, few social roles existed. A major role centered on relieving hunger by hunting or gathering food. The other major role centered on bearing and nursing children. Because only women could perform this role, they were also the primary caretakers for children for several years after birth. And because women were frequently pregnant, their roles as mothers confined them to the home for most of their adulthood. Meanwhile, men were better suited than women for hunting because they were stronger and quicker than women. In prehistoric societies, then, biology was indeed destiny: for biological reasons, men in effect worked outside the home (hunted), while women stayed at home with their children.

Evolutionary reasons also explain why men are more violent than women. In prehistoric times, men who were more willing to commit violence against and even kill other men would “win out” in the competition for female mates. They thus were more likely than less violent men to produce offspring, who would then carry these males’ genetic violent tendencies. By the same token, men who were prone to rape women were more likely to produce offspring, who would then carry these males’ “rape genes.” This early process guaranteed that rape tendencies would be biologically transmitted and thus provided a biological basis for the amount of rape that occurs today.

If the human race evolved along these lines, sociobiologists and evolutionary psychologists continue, natural selection favored those societies where men were stronger, braver, and more aggressive and where women were more fertile and nurturing. Such traits over the millennia became fairly instinctual, meaning that men’s and women’s biological natures evolved differently. Men became, by nature, more assertive, daring, and violent than women, and women are, by nature, more gentle, nurturing, and maternal than men. To the extent this is true, these scholars add, traditional gender roles for women and men make sense from an evolutionary standpoint, and attempts to change them go against the sexes’ biological natures. This in turn implies that existing gender inequality must continue because it is rooted in biology. As the title of a book presenting the evolutionary psychology argument summarizes this implication, “biology at work: rethinking sexual equality” (Browne, 2002).

According to some sociobiologists and evolutionary psychologists, today’s gender differences in strength and physical aggression are ultimately rooted in certain evolutionary processes that spanned millennia.

Vladimir Pustovit – Couple – CC BY 2.0.

Critics challenge the evolutionary explanation on several grounds (Hurley, 2007; Buller, 2006; Begley, 2009). First, much greater gender variation in behavior and attitudes existed in prehistoric times than the evolutionary explanation assumes. Second, even if biological differences did influence gender roles in prehistoric times, these differences are largely irrelevant in today’s world, in which, for example, physical strength is not necessary for survival. Third, human environments throughout the millennia have simply been too diverse to permit the simple, straightforward biological development that the evolutionary explanation assumes. Fourth, evolutionary arguments implicitly justify existing gender inequality by implying the need to confine women and men to their traditional roles.

Recent anthropological evidence also challenges the evolutionary argument that men’s tendency to commit violence, including rape, was biologically transmitted. This evidence instead finds that violent men have trouble finding female mates who would want them and that the female mates they find and the children they produce are often killed by rivals to the men. The recent evidence also finds those rapists’ children are often abandoned and then die. As one anthropologist summarizes the rape evidence, “The likelihood that rape is an evolved adaptation [is] extremely low. It just wouldn’t have made sense for men in the [prehistoric epoch] to use rape as a reproductive strategy, so the argument that it’s preprogrammed into us doesn’t hold up” (Begley, 2009, p. 54).

A second biological explanation for traditional gender roles centers on hormones and specifically on testosterone, the so-called male hormone. One of the most important differences between boys and girls and men and women in the United States and many other societies is their level of aggression. Simply put, males are much more physically aggressive than females and in the United States commit about 85%–90% of all violent crimes (see Chapter 7 “Deviance, Crime, and Social Control” ). Why is this so? As Chapter 7 “Deviance, Crime, and Social Control” pointed out, this gender difference is often attributed to males’ higher levels of testosterone (Mazur, 2009).

To see whether testosterone does indeed raise aggression, researchers typically assess whether males with higher testosterone levels are more aggressive than those with lower testosterone levels. Several studies find that this is indeed the case. For example, a widely cited study of Vietnam-era male veterans found that those with higher levels of testosterone had engaged in more violent behavior (Booth & Osgood, 1993). However, this correlation does not necessarily mean that their testosterone increased their violence: as has been found in various animal species, it is also possible that their violence increased their testosterone. Because studies of human males can’t for ethical and practical reasons manipulate their testosterone levels, the exact meaning of the results from these testosterone-aggression studies must remain unclear, according to a review sponsored by the National Academy of Sciences (Miczek, Mirsky, Carey, DeBold, & Raine, 1994).

Another line of research on the biological basis for sex differences in aggression involves children, including some as young as ages 1 or 2, in various situations (Card, Stucky, Sawalani, & Little, 2008). They might be playing with each other, interacting with adults, or writing down solutions to hypothetical scenarios given to them by a researcher. In most of these studies, boys are more physically aggressive in thought or deed than girls, even at a very young age. Other studies are more experimental in nature. In one type of study, a toddler will be playing with a toy, only to have it removed by an adult. Boys typically tend to look angry and try to grab the toy back, while girls tend to just sit there and whimper. Because these gender differences in aggression are found at very young ages, researchers often say they must have some biological basis. However, critics of this line of research counter that even young children have already been socialized along gender lines (Begley, 2009; Eliot, 2009), a point to which we return later. To the extent this is true, gender differences in children’s aggression may simply reflect socialization and not biology.

In sum, biological evidence for gender differences certainly exists, but its interpretation remains very controversial. It must be weighed against the evidence, to which we next turn, of cultural variations in the experience of gender and of socialization differences by gender. One thing is clear: to the extent we accept biological explanations for gender, we imply that existing gender differences and gender inequality must continue to exist. This implication prompts many social scientists to be quite critical of the biological viewpoint. As Linda L. Lindsey (2011, p. 52) notes, “Biological arguments are consistently drawn upon to justify gender inequality and the continued oppression of women.” In contrast, cultural and social explanations of gender differences and gender inequality promise some hope for change. Let’s examine the evidence for these explanations.

Culture and Gender

Some of the most compelling evidence against a strong biological determination of gender roles comes from anthropologists, whose work on preindustrial societies demonstrates some striking gender variation from one culture to another. This variation underscores the impact of culture on how females and males think and behave.

Margaret Mead (1935) was one of the first anthropologists to study cultural differences in gender. In New Guinea she found three tribes—the Arapesh, the Mundugumor, and the Tchambuli—whose gender roles differed dramatically. In the Arapesh both sexes were gentle and nurturing. Both women and men spent much time with their children in a loving way and exhibited what we would normally call maternal behavior. In the Arapesh, then, different gender roles did not exist, and in fact, both sexes conformed to what Americans would normally call the female gender role.

Margaret Mead made important contributions to the anthropological study of gender. Her work suggested that culture dramatically influences how females and males behave and that gender is rooted much more in culture than in biology.

U.S. Library of Congress – public domain.

The situation was the reverse among the Mundugumor. Here both men and women were fierce, competitive, and violent. Both sexes seemed to almost dislike children and often physically punished them. In the Mundugumor society, then, different gender roles also did not exist, as both sexes conformed to what we Americans would normally call the male gender role.

In the Tchambuli, Mead finally found a tribe where different gender roles did exist. One sex was the dominant, efficient, assertive one and showed leadership in tribal affairs, while the other sex liked to dress up in frilly clothes, wear makeup, and even giggle a lot. Here, then, Mead found a society with gender roles similar to those found in the United States, but with a surprising twist. In the Tchambuli, women were the dominant, assertive sex that showed leadership in tribal affairs, while men were the ones wearing frilly clothes and makeup.

Mead’s research caused a firestorm in scholarly circles, as it challenged the biological view on gender that was still very popular when she went to New Guinea. In recent years, Mead’s findings have been challenged by other anthropologists. Among other things, they argue that she probably painted an overly simplistic picture of gender roles in her three societies (Scheper-Hughes, 1987). Other anthropologists defend Mead’s work and note that much subsequent research has found that gender-linked attitudes and behavior do differ widely from one culture to another (Morgan, 1989). If so, they say, the impact of culture on what it means to be a female or male cannot be ignored.

Extensive evidence of this impact comes from anthropologist George Murdock, who created the Standard Cross-Cultural Sample of almost 200 preindustrial societies studied by anthropologists. Murdock (1937) found that some tasks in these societies, such as hunting and trapping, are almost always done by men, while other tasks, such as cooking and fetching water, are almost always done by women. These patterns provide evidence for the evolutionary argument presented earlier, as they probably stem from the biological differences between the sexes. Even so there were at least some societies in which women hunted and in which men cooked and fetched water.

More importantly, Murdock found much greater gender variation in several of the other tasks he studied, including planting crops, milking, and generating fires. Men primarily performed these tasks in some societies, women primarily performed them in other societies, and in still other societies both sexes performed them equally. Figure 11.2 “Gender Responsibility for Weaving” shows the gender responsibility for yet another task, weaving. Women are the primary weavers in about 61% of the societies that do weaving, men are the primary weavers in 32%, and both sexes do the weaving in 7% of the societies. Murdock’s findings illustrate how gender roles differ from one culture to another and imply they are not biologically determined.

Figure 11.2 Gender Responsibility for Weaving

Source: Data from Standard Cross-Cultural Sample.

Anthropologists since Mead and Murdock have continued to investigate cultural differences in gender. Some of their most interesting findings concern gender and sexuality (Morgan, 1989; Brettell & Sargent, 2009). Although all societies distinguish “femaleness” and “maleness,” additional gender categories exist in some societies. The Native Americans known as the Mohave, for example, recognize four genders: a woman, a woman who acts like a man, a man, and a man who acts like a woman. In some societies, a third, intermediary gender category is recognized. Anthropologists call this category the berdache , who is usually a man who takes on a woman’s role. This intermediary category combines aspects of both femininity and masculinity of the society in which it is found and is thus considered an androgynous gender. Although some people in this category are born as intersexed individuals (formerly known as hermaphrodites ), meaning they have genitalia of both sexes, many are born biologically as one sex or the other but adopt an androgynous identity.

An example of this intermediary gender category may be found in India, where the hirja role involves males who wear women’s clothing and identify as women (Reddy, 2006). The hirja role is an important part of Hindu mythology, in which androgynous figures play key roles both as humans and as gods. Today people identified by themselves and others as hirjas continue to play an important role in Hindu practices and in Indian cultural life in general. Serena Nanda (1997, pp. 200–201) calls hirjas “human beings who are neither man nor woman” and says they are thought of as “special, sacred beings” even though they are sometimes ridiculed and abused.

Anthropologists have found another androgynous gender composed of women warriors in 33 Native American groups in North America. Walter L. Williams (1997) calls these women “amazons” and notes that they dress like men and sometimes even marry women. In some tribes girls exhibit such “masculine” characteristics from childhood, while in others they may be recruited into “amazonhood.” In the Kaska Indians, for example, a married couple with too many daughters would select one to “be like a man.” When she was about 5 years of age, her parents would begin to dress her like a boy and have her do male tasks. Eventually she would grow up to become a hunter.

The androgynous genders found by anthropologists remind us that gender is a social construction and not just a biological fact. If culture does affect gender roles, socialization is the process through which culture has this effect. What we experience as girls and boys strongly influences how we develop as women and men in terms of behavior and attitudes. To illustrate this important dimension of gender, let’s turn to the evidence on socialization.

Socialization and Gender

Chapter 3 “Culture” identified several agents of socialization, including the family, peers, schools, the mass media, and religion. While that chapter’s discussion focused on these agents’ impact on socialization in general, ample evidence of their impact on gender-role socialization also exists. Such socialization helps boys and girls develop their gender identity (Andersen & Hysock, 2009).

Parents play with their daughters and sons differently. For example, fathers generally roughhouse more with their sons than with their daughters.

Jagrap – Roughhousing – CC BY-NC 2.0.

Socialization into gender roles begins in infancy, as almost from the moment of birth parents begin to socialize their children as boys or girls without even knowing it (Begley, 2009; Eliot, 2009). Many studies document this process (Lindsey, 2011). Parents commonly describe their infant daughters as pretty, soft, and delicate and their infant sons as strong, active, and alert, even though neutral observers find no such gender differences among infants when they do not know the infants’ sex. From infancy on, parents play with and otherwise interact with their daughters and sons differently. They play more roughly with their sons—for example, by throwing them up in the air or by gently wrestling with them—and more quietly with their daughters. When their infant or toddler daughters cry, they warmly comfort them, but they tend to let their sons cry longer and to comfort them less. They give their girls dolls to play with and their boys “action figures” and toy guns. While these gender differences in socialization are probably smaller now than a generation ago, they certainly continue to exist. Go into a large toy store and you will see pink aisles of dolls and cooking sets and blue aisles of action figures, toy guns, and related items.

Peer influences also encourage gender socialization. As they reach school age, children begin to play different games based on their gender (see the “Sociology Making a Difference” box). Boys tend to play sports and other competitive team games governed by inflexible rules and relatively large numbers of roles, while girls tend to play smaller, cooperative games such as hopscotch and jumping rope with fewer and more flexible rules. Although girls are much more involved in sports now than a generation ago, these gender differences in their play as youngsters persist and continue to reinforce gender roles. For example, they encourage competitiveness in boys and cooperation and trust among girls. Boys who are not competitive risk being called “sissy” or other words by their peers. The patterns we see in adult males and females thus have their roots in their play as young children (King, Miles, & Kniska, 1991).

Sociology Making a Difference

Gender Differences in Children’s Play and Games

In considering the debate, discussed in the text, between biology and sociology over the origins of gender roles, some widely cited studies by sociologists over gender differences in children’s play and games provide important evidence for the importance of socialization.

Janet Lever (1978) studied fifth-grade children in three different communities in Connecticut. She watched them play and otherwise interact in school and also had the children keep diaries of their play and games outside school. One of her central aims was to determine how complex the two sexes’ play and games were in terms of such factors as number of rules, specialization of roles, and size of the group playing. In all of these respects, Lever found that boys’ play and games were typically more complex than girls’ play and games. She attributed these differences to socialization by parents, teachers, and other adults and argued that the complexity of boys’ play and games helped them to be better able than girls to learn important social skills such as dealing with rules and coordinating actions to achieve goals.

Meanwhile, Barrie Thorne (1993) spent many months in two different working-class communities in California and Michigan observing fourth and fifth graders sit in class and lunchrooms and play on the school playgrounds. Most children were white, but several were African American or Latino. As you might expect, the girls and boys she observed usually played separately from each other, and the one-sex groups in which they played were very important for the development of their gender identity, with boys tending to play team sports and other competitive games and girls tending to play cooperative games such as jump rope. These differences led Thorne to conclude that gender-role socialization stems not only from practices by adults but also from the children’s own activities without adult involvement. When boys and girls did interact, it was often “girls against the boys” or vice versa in classroom spelling contests and in games such as tag. Thorne concluded that these “us against them” contests helped the children learn that boys and girls are two different and antagonistic sexes and that gender itself is antagonistic, even if there were also moments when both sexes interacted on the playground in more relaxed, noncompetitive situations. Boys also tended to disrupt girls’ games more than the reverse and in this manner both exerted and learned dominance over females. In all of these ways, children were not just the passive recipients of gender-role socialization from adults (their teachers), but they also played an active role in ensuring that such socialization occurred.

The studies by Lever and Thorne were among the first to emphasize the importance of children’s play and peer relationships for gender socialization. They also called attention to the importance of the traits and values learned through such socialization for outcomes later in life. The rise in team sports opportunities for girls in the years since Lever and Thorne did their research is a welcome development that addresses the concerns expressed in their studies, but young children continue to play in the ways that Lever and Thorne found. To the extent children’s play has the consequences just listed, and to the extent these consequences impede full gender inequality, these sociological studies suggest the need for teachers, parents, and other adults to help organize children’s play that is more egalitarian along the lines discussed by Lever, Thorne, and other scholars. In this way, their sociological work has helped to make a difference and promises to continue to do so.

School is yet another agent of gender socialization (Klein, 2007). First of all, school playgrounds provide a location for the gender-linked play activities just described to occur. Second, and perhaps more important, teachers at all levels treat their female and male students differently in subtle ways of which they are probably not aware. They tend to call on boys more often to answer questions in class and to praise them more when they give the right answer. They also give boys more feedback about their assignments and other school work (Sadker & Sadker, 1994). At all grade levels, many textbooks and other books still portray people in gender-stereotyped ways. It is true that the newer books do less of this than older ones, but the newer books still contain some stereotypes, and the older books are still used in many schools, especially those that cannot afford to buy newer volumes.

Women’s magazines reinforce the view that women need to be slender and wear many cosmetics in order to be considered beautiful.

Photo Editing Services Tucia.com – Glamour /Fashion Retouching by Tucia – CC BY 2.0.

Gender socialization also occurs through the mass media (Dow & Wood, 2006). On children’s television shows, the major characters are male. On Nickelodeon, for example, the very popular SpongeBob SquarePants is a male, as are his pet snail, Gary; his best friend, Patrick Star; their neighbor, Squidward Tentacles; and SpongeBob’s employer, Eugene Crabs. Of the major characters in Bikini Bottom, only Sandy Cheeks is a female. For all its virtues, Sesame Street features Bert, Ernie, Cookie Monster, and other male characters. Most of the Muppets are males, and the main female character, Miss Piggy, depicted as vain and jealous, is hardly an admirable female role model. As for adults’ prime-time television, more men than women continue to fill more major roles in weekly shows, despite notable women’s roles in shows such as The Good Wife and Grey’s Anatomy . Women are also often portrayed as unintelligent or frivolous individuals who are there more for their looks than for anything else. Television commercials reinforce this image (Yoder, Christopher, & Holmes, 2008). Cosmetics ads abound, suggesting not only that a major task for women is to look good but also that their sense of self-worth stems from looking good. Other commercials show women becoming ecstatic over achieving a clean floor or sparkling laundry. Judging from the world of television commercials, then, women’s chief goals in life are to look good and to have a clean house. At the same time, men’s chief goals, judging from many commercials, are to drink beer and drive cars.

Women’s and men’s magazines reinforce these gender images (Milillo, 2008). Most of the magazines intended for teenaged girls and adult women are filled with pictures of thin, beautiful models, advice on dieting, cosmetics ads, and articles on how to win and please your man. Conversely, the magazines intended for teenaged boys and men are filled with ads and articles on cars and sports, advice on how to succeed in careers and other endeavors, and pictures of thin, beautiful (and sometimes nude) women. These magazine images again suggest that women’s chief goals are to look good and to please men and that men’s chief goals are to succeed, win over women, and live life in the fast lane.

Another agent of socialization, religion, also contributes to traditional gender stereotypes. Many traditional interpretations of the Bible yield the message that women are subservient to men (Tanenbaum, 2009). This message begins in Genesis, where the first human is Adam, and Eve was made from one of his ribs. The major figures in the rest of the Bible are men, and women are for the most part depicted as wives, mothers, temptresses, and prostitutes; they are praised for their roles as wives and mothers and condemned for their other roles. More generally, women are constantly depicted as the property of men. The Ten Commandments includes a neighbor’s wife with his house, ox, and other objects as things not to be coveted (Exodus 20:17), and many biblical passages say explicitly that women belong to men, such as this one from the New Testament:

Wives be subject to your husbands, as to the Lord. For the husband is the head of the wife as Christ is the head of the Church. As the Church is subject to Christ, so let wives also be subject in everything to their husbands. (Ephesians 5:22–24)

Several passages in the Old Testament justify the rape and murder of women and girls. The Koran, the sacred book of Islam, also contains passages asserting the subordinate role of women (Mayer, 2009).

This discussion suggests that religious people should believe in traditional gender views more than less religious people, and research confirms this relationship (Morgan, 1988). To illustrate this, Figure 11.3 “Frequency of Prayer and Acceptance of Traditional Gender Roles in the Family” shows the relationship in the General Social Survey between frequency of prayer and the view (seen first in Figure 11.1 “Belief That Women Should Stay at Home” ) that “it is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family.” People who pray more often are more likely to accept this traditional view of gender roles.

Figure 11.3 Frequency of Prayer and Acceptance of Traditional Gender Roles in the Family

Percentage agreeing that “it is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family.”

A Final Word on the Sources of Gender

Scholars in many fields continue to debate the relative importance of biology and of culture and socialization for how we behave and think as girls and boys and as women and men. The biological differences between females and males lead many scholars and no doubt much of the public to assume that masculinity and femininity are to a large degree biologically determined or at least influenced. In contrast, anthropologists, sociologists, and other social scientists tend to view gender as a social construction. Even if biology does matter for gender, they say, the significance of culture and socialization should not be underestimated. To the extent that gender is indeed shaped by society and culture, it is possible to change gender and to help bring about a society where both men and women have more opportunity to achieve their full potential.

Key Takeaways

• Sex is a biological concept, while gender is a social concept and refers to the social and cultural differences a society assigns to people based on their sex.
• Several biological explanations for gender roles exist, but sociologists think culture and socialization are more important sources of gender roles than biology.
• Families, schools, peers, the mass media, and religion are agents of socialization for the development of gender identity and gender roles.

For Your Review

• Write a short essay about one or two events you recall from your childhood that reflected or reinforced your gender socialization.
• Do you think gender roles are due more to biology or to culture and socialization? Explain your answer.

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Gender inequality as a barrier to economic growth: a review of the theoretical literature

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• Published: 15 January 2021
• Volume 19 , pages 581–614, ( 2021 )

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In this article, we survey the theoretical literature investigating the role of gender inequality in economic development. The vast majority of theories reviewed argue that gender inequality is a barrier to development, particularly over the long run. Among the many plausible mechanisms through which inequality between men and women affects the aggregate economy, the role of women for fertility decisions and human capital investments is particularly emphasized in the literature. Yet, we believe the body of theories could be expanded in several directions.

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1 Introduction

Theories of long-run economic development have increasingly relied on two central forces: population growth and human capital accumulation. Both forces depend on decisions made primarily within households: population growth is partially determined by households’ fertility choices (e.g., Becker & Barro 1988 ), while human capital accumulation is partially dependent on parental investments in child education and health (e.g., Lucas 1988 ).

In an earlier survey of the literature linking family decisions to economic growth, Grimm ( 2003 ) laments that “[m]ost models ignore the two-sex issue. Parents are modeled as a fictive asexual human being” (p. 154). Footnote 1 Since then, however, economists are increasingly recognizing that gender plays a fundamental role in how households reproduce and care for their children. As a result, many models of economic growth are now populated with men and women. The “fictive asexual human being” is a dying species. In this article, we survey this rich new landscape in theoretical macroeconomics, reviewing, in particular, micro-founded theories where gender inequality affects economic development.

For the purpose of this survey, gender inequality is defined as any exogenously imposed difference between male and female economic agents that, by shaping their behavior, has implications for aggregate economic growth. In practice, gender inequality is typically modeled as differences between men and women in endowments, constraints, or preferences.

Many articles review the literature on gender inequality and economic growth. Footnote 2 Typically, both the theoretical and empirical literature are discussed, but, in almost all cases, the vast empirical literature receives most of the attention. In addition, some of the surveys examine both sides of the two-way relationship between gender inequality and economic growth: gender equality as a cause of economic growth and economic growth as a cause of gender equality. As a result, most surveys end up only scratching the surface of each of these distinct strands of literature.

There is, by now, a large and insightful body of micro-founded theories exploring how gender equality affects economic growth. In our view, these theories merit a separate review. Moreover, they have not received sufficient attention in empirical work, which has largely developed independently (see also Cuberes & Teignier 2014 ). By reviewing the theoretical literature, we hope to motivate empirical researchers in finding new ways of putting these theories to test. In doing so, our work complements several existing surveys. Doepke & Tertilt ( 2016 ) review the theoretical literature that incorporates families in macroeconomic models, without focusing exclusively on models that include gender inequality, as we do. Greenwood, Guner and Vandenbroucke ( 2017 ), in turn, review the theoretical literature from the opposite direction; they study how macroeconomic models can explain changes in family outcomes. Doepke, Tertilt and Voena ( 2012 ) survey the political economy of women’s rights, but without focusing explicitly on their impact on economic development.

To be precise, the scope of this survey consists of micro-founded macroeconomic models where gender inequality (in endowments, constraints, preferences) affects economic growth—either by influencing the economy’s growth rate or shaping the transition paths between multiple income equilibria. As a result, this survey does not cover several upstream fields of partial-equilibrium micro models, where gender inequality affects several intermediate growth-related outcomes, such as labor supply, education, health. Additionally, by focusing on micro-founded macro models, we do not review studies in heterodox macroeconomics, including the feminist economics tradition using structuralist, demand-driven models. For recent overviews of this literature, see Kabeer ( 2016 ) and Seguino ( 2013 , 2020 ). Overall, we find very little dialogue between the neoclassical and feminist heterodox literatures. In this review, we will show that actually these two traditions have several points of contact and reach similar conclusions in many areas, albeit following distinct intellectual routes.

Although the incorporation of gender in macroeconomic models of economic growth is a recent development, the main gendered ingredients of those models are not new. They were developed in at least two strands of literature. First, since the 1960s, “new home economics” has applied the analytical toolbox of rational choice theory to decisions being made within the boundaries of the family (see, e.g., Becker 1960 , 1981 ). Footnote 3 A second literature strand, mostly based on empirical work at the micro level in developing countries, described clear patterns of gender-specific behavior within households that differed across regions of the developing world (see, e.g., Boserup 1970 ). Footnote 4 As we shall see, most of the (micro-founded) macroeconomic models reviewed in this article use several analytical mechanisms from "new home economics”; these mechanisms can typically rationalize several of the gender-specific regularities observed in early studies of developing countries. The growth theorist is then left to explore the aggregate implications for economic development.

The first models we present focus on gender discrimination in (or on access to) the labor market as a distortionary tax on talent. If talent is randomly distributed in the population, men and women are imperfect substitutes in aggregate production, and, as a consequence, gender inequality (as long as determined by non-market processes) will misallocate talent and lower incentives for female human capital formation. These theories do not rely on typical household functions such as reproduction and childrearing. Therefore, in these models, individuals are not organized into households. We review this literature in section 2 .

From there, we proceed to theories where the household is the unit of analysis. In sections 3 and 4 , we cover models that take the household as given and avoid marriage markets or other household formation institutions. This is a world where marriage (or cohabitation) is universal, consensual, and monogamous; families are nuclear, and spouses are matched randomly. The first articles in this tradition model the household as a unitary entity with joint preferences and interests, and with an efficient and centralized decision making process. Footnote 5 These theories posit how men and women specialize into different activities and how parents interact with their children. Section 3 reviews these theories. Over time, the literature has incorporated intra-household dynamics. Now, family members are allowed to have different preferences and interests; they bargain, either cooperatively or not, over family decisions. Now, the theorist recognizes power asymmetries between family members and analyzes how spouses bargain over decisions. Footnote 6 These articles are surveyed in section 4 .

The final set of articles we survey take into account how households are formed. These theories show how gender inequality can influence economic growth and long-run development through marriage market institutions and family formation patterns. Among other topics, this literature has studied ages at first marriage, relative supply of potential partners, monogamy and polygyny, arranged and consensual marriages, and divorce risk. Upon marriage, these models assume different bargaining processes between the spouses, or even unitary households, but they all recognize, in one way or another, that marriage, labor supply, consumption, and investment decisions are interdependent. We review these theories in section 5 .

Table 1 offers a schematic overview of the literature. To improve readability, the table only includes studies that we review in detail, with articles listed in order of appearance in the text. The table also abstracts from models’ extensions and sensitivity checks, and focuses exclusively on the causal pathways leading from gender inequality to economic growth.

The vast majority of theories reviewed argue that gender inequality is a barrier to economic development, particularly over the long run. The focus on long-run supply-side models reflects a recent effort by growth theorists to incorporate two stylized facts of economic development in the last two centuries: (i) a strong positive association between gender equality and income per capita (Fig. 1 ), and (ii) a strong association between the timing of the fertility transition and income per capita (Fig. 2 ). Footnote 7 Models that endogenize a fertility transition are able to generate a transition from a Malthusian regime of stagnation to a modern regime of sustained economic growth, thus replicating the development experience of human societies in the very long run (e.g., Galor 2005a , b ; Guinnane 2011 ). In contrast, demand-driven models in the heterodox and feminist traditions have often argued that gender wage discrimination and gendered sectoral and occupational segregation can be conducive to economic growth in semi-industrialized export-oriented economies. Footnote 8 In these settings—that fit well the experience of East and Southeast Asian economies—gender wage discrimination in female-intensive export industries reduces production costs and boosts exports, profits, and investment (Blecker & Seguino 2002 ; Seguino 2010 ).

Income level and gender equality. Income is the natural log of per capita GDP (PPP-adjusted). The Gender Development Index is the ratio of gender-specific Human Development Indexes: female HDI/male HDI. Data are for the year 2000. Sources: UNDP

Income level and timing of the fertility transition. Income is the natural log of per capita GDP (PPP-adjusted) in 2000. Years since fertility transition are the number of years between 2000 and the onset year of the fertility decline. See Reher ( 2004 ) for details. Sources: UNDP and Reher ( 2004 )

In most long-run, supply-side models reviewed here, irrespectively of the underlying source of gender differences (e.g., biology, socialization, discrimination), the opportunity cost of women’s time in foregone labor market earnings is lower than that of men. This gender gap in the value of time affects economic growth through two main mechanisms. First, when the labor market value of women’s time is relatively low, women will be in charge of childrearing and domestic work in the family. A low value of female time means that children are cheap. Fertility will be high, and economic growth will be low, both because population growth has a direct negative impact on long-run economic performance and because human capital accumulates at a slower pace (through the quantity-quality trade-off). Second, if parents expect relatively low returns to female education, due to women specializing in domestic activities, they will invest relatively less in the education of girls. In the words of Harriet Martineau, one of the first to describe this mechanism, “as women have none of the objects in life for which an enlarged education is considered requisite, the education is not given” (Martineau 1837 , p. 107). In the long run, lower human capital investments (on girls) lead to slower economic development.

Overall, gender inequality can be conceptualized as a source of inefficiency, to the extent that it results in the misallocation of productive factors, such as talent or labor, and as a source of negative externalities, when it leads to higher fertility, skewed sex ratios, or lower human capital accumulation.

We conclude, in section 6 , by examining the limitations of the current literature and pointing ways forward. Among them, we suggest deeper investigations of the role of (endogenous) technological change on gender inequality, as well as greater attention to the role and interests of men in affecting gender inequality and its impact on growth.

2 Gender discrimination and misallocation of talent

Perhaps the single most intuitive argument for why gender discrimination leads to aggregate inefficiency and hampers economic growth concerns the allocation of talent. Assume that talent is randomly distributed in the population. Then, an economy that curbs women’s access to education, market employment, or certain occupations draws talent from a smaller pool than an economy without such restrictions. Gender inequality can thus be viewed as a distortionary tax on talent. Indeed, occupational choice models with heterogeneous talent (as in Roy 1951 ) show that exogenous barriers to women’s participation in the labor market or access to certain occupations reduce aggregate productivity and per capita output (Cuberes & Teignier 2016 , 2017 ; Esteve-Volart 2009 ; Hsieh, Hurst, Jones and Klenow 2019 ).

Hsieh et al. ( 2019 ) represent the US economy with a model where individuals sort into occupations based on innate ability. Footnote 9 Gender and race identity, however, are a source of discrimination, with three forces preventing women and black men from choosing the occupations best fitting their comparative advantage. First, these groups face labor market discrimination, which is modeled as a tax on wages and can vary by occupation. Second, there is discrimination in human capital formation, with the costs of occupation-specific human capital being higher for certain groups. This cost penalty is a composite term encompassing discrimination or quality differentials in private or public inputs into children’s human capital. The third force are group-specific social norms that generate utility premia or penalties across occupations. Footnote 10

Assuming that the distribution of innate ability across race and gender is constant over time, Hsieh et al. ( 2019 ) investigate and quantify how declines in labor market discrimination, barriers to human capital formation, and changing social norms affect aggregate output and productivity in the United States, between 1960 and 2010. Over that period, their general equilibrium model suggests that around 40 percent of growth in per capita GDP and 90 percent of growth in labor force participation can be attributed to reductions in the misallocation of talent across occupations. Declining in barriers to human capital formation account for most of these effects, followed by declining labor market discrimination. Changing social norms, on the other hand, explain only a residual share of aggregate changes.

Two main mechanisms drive these results. First, falling discrimination improves efficiency through a better match between individual ability and occupation. Second, because discrimination is higher in high-skill occupations, when discrimination decreases, high-ability women and black men invest more in human capital and supply more labor to the market. Overall, better allocation of talent, rising labor supply, and faster human capital accumulation raise aggregate growth and productivity.

Other occupational choice models assuming gender inequality in access to the labor market or certain occupations reach similar conclusions. In addition to the mechanisms in Hsieh et al. ( 2019 ), barriers to women’s work in managerial or entrepreneurial occupations reduce average talent in these positions, resulting in aggregate losses in innovation, technology adoption, and productivity (Cuberes & Teignier 2016 , 2017 ; Esteve-Volart 2009 ). The argument can be readily applied to talent misallocation across sectors (Lee 2020 ). In Lee’s model, female workers face discrimination in the non-agricultural sector. As a result, talented women end up sorting into ill-suited agricultural activities. This distortion reduces aggregate productivity in agriculture. Footnote 11

To sum up, when talent is randomly distributed in the population, barriers to women’s education, employment, or occupational choice effectively reduce the pool of talent in the economy. According to these models, dismantling these gendered barriers can have an immediate positive effect on economic growth.

3 Unitary households: parents and children

In this section, we review models built upon unitary households. A unitary household maximizes a joint utility function subject to pooled household resources. Intra-household decision making is assumed away; the household is effectively a black-box. In this class of models, gender inequality stems from a variety of sources. It is rooted in differences in physical strength (Galor & Weil 1996 ; Hiller 2014 ; Kimura & Yasui 2010 ) or health (Bloom et al. 2015 ); it is embedded in social norms (Hiller 2014 ; Lagerlöf 2003 ), labor market discrimination (Cavalcanti & Tavares 2016 ), or son preference (Zhang, Zhang and Li 1999 ). In all these models, gender inequality is a barrier to long-run economic development.

Galor & Weil ( 1996 ) model an economy with three factors of production: capital, physical labor (“brawn”), and mental labor (“brain”). Men and women are equally endowed with brains, but men have more brawn. In economies starting with very low levels of capital per worker, women fully specialize in childrearing because their opportunity cost in terms of foregone market earnings is lower than men’s. Over time, the stock of capital per worker builds up due to exogenous technological progress. The degree of complementarity between capital and mental labor is higher than that between capital and physical labor; as the economy accumulates capital per worker, the returns to brain rise relative to the returns to brawn. As a result, the relative wages of women rise, increasing the opportunity cost of childrearing. This negative substitution effect dominates the positive income effect on the demand for children and fertility falls. Footnote 12 As fertility falls, capital per worker accumulates faster creating a positive feedback loop that generates a fertility transition and kick starts a process of sustained economic growth.

The model has multiple stable equilibria. An economy starting from a low level of capital per worker is caught in a Malthusian poverty trap of high fertility, low income per capita, and low relative wages for women. In contrast, an economy starting from a sufficiently high level of capital per worker will converge to a virtuous equilibrium of low fertility, high income per capita, and high relative wages for women. Through exogenous technological progress, the economy can move from the low to the high equilibrium.

Gender inequality in labor market access or returns to brain can slow down or even prevent the escape from the Malthusian equilibrium. Wage discrimination or barriers to employment would work against the rise of relative female wages and, therefore, slow down the takeoff to modern economic growth.

The Galor and Weil model predicts how female labor supply and fertility evolve in the course of development. First, (married) women start participating in market work and only afterwards does fertility start declining. Historically, however, in the US and Western Europe, the decline in fertility occurred before women’s participation rates in the labor market started their dramatic increase. In addition, these regions experienced a mid-twentieth century baby boom which seems at odds with Galor and Weil’s theory.

Both these stylized facts can be addressed by adding home production to the modeling, as do Kimura & Yasui ( 2010 ). In their article, as capital per worker accumulates, the market wage for brains rises and the economy moves through four stages of development. In the first stage, with a sufficiently low market wage, both husband and wife are fully dedicated to home production and childrearing. The household does not supply labor to the market; fertility is high and constant. In the second stage, as the wage rate increases, men enter the labor market (supplying both brawn and brain), whereas women remain fully engaged in home production and childrearing. But as men partially withdraw from home production, women have to replace them. As a result, their time cost of childrearing goes up. At this stage of development, the negative substitution effect of rising wages on fertility dominates the positive income effect. Fertility starts declining, even though women have not yet entered the labor market. The third stage arrives when men stop working in home production. There is complete specialization of labor by gender; men only do market work, and women only do home production and childrearing. As the market wage rises for men, the positive income effect becomes dominant and fertility increases; this mimics the baby-boom period of the mid-twentieth century. In the fourth and final stage, once sufficient capital is accumulated, women enter the market sector as wage-earners. The negative substitution effect of rising female opportunity costs dominates once again, and fertility declines. The economy moves from a “breadwinner model” to a “dual-earnings model”.

Another important form of gender inequality is discrimination against women in the form of lower wages, holding male and female productivity constant. Cavalcanti & Tavares ( 2016 ) estimate the aggregate effects of wage discrimination using a model-based general equilibrium representation of the US economy. In their model, women are assumed to be more productive in childrearing than men, so they pay the full time cost of this activity. In the labor market, even though men and women are equally productive, women receive only a fraction of the male wage rate—this is the wage discrimination assumption. Wage discrimination works as a tax on female labor supply. Because women work less than they would without discrimination, there is a negative level effect on per capita output. In addition, there is a second negative effect of wage discrimination operating through endogenous fertility. Since lower wages reduce women’s opportunity costs of childrearing, fertility is relatively high, and output per capita is relatively low. The authors calibrate the model to US steady state parameters and estimate large negative output costs of the gender wage gap. Reducing wage discrimination against women by 50 percent would raise per capita income by 35 percent, in the long run.

Human capital accumulation plays no role in Galor & Weil ( 1996 ), Kimura & Yasui ( 2010 ), and Cavalcanti & Tavares ( 2016 ). Each person is exogenously endowed with a unit of brains. The fundamental trade-off in the these models is between the income and substitution effects of rising wages on the demand for children. When Lagerlöf ( 2003 ) adds education investments to a gender-based model, an additional trade-off emerges: that between the quantity and the quality of children.

Lagerlöf ( 2003 ) models gender inequality as a social norm: on average, men have higher human capital than women. Confronted with this fact, parents play a coordination game in which it is optimal for them to reproduce the inequality in the next generation. The reason is that parents expect the future husbands of their daughters to be, on average, relatively more educated than the future wives of their sons. Because, in the model, parents care for the total income of their children’s future households, they respond by investing relatively less in daughters’ human capital. Here, gender inequality does not arise from some intrinsic difference between men and women. It is instead the result of a coordination failure: “[i]f everyone else behaves in a discriminatory manner, it is optimal for the atomistic player to do the same” (Lagerlöf 2003 , p. 404).

With lower human capital, women earn lower wages than men and are therefore solely responsible for the time cost of childrearing. But if, exogenously, the social norm becomes more gender egalitarian over time, the gender gap in parental educational investment decreases. As better educated girls grow up and become mothers, their opportunity costs of childrearing are higher. Parents trade-off the quantity of children by their quality; fertility falls and human capital accumulates. However, rising wages have an offsetting positive income effect on fertility because parents pay a (fixed) “goods cost” per child. The goods cost is proportionally more important in poor societies than in richer ones. As a result, in poor economies, growth takes off slowly because the positive income effect offsets a large chunk of the negative substitution effect. As economies grow richer, the positive income effect vanishes (as a share of total income), and fertility declines faster. That is, growth accelerates over time even if gender equality increases only linearly.

The natural next step is to model how the social norm on gender roles evolves endogenously during the course of development. Hiller ( 2014 ) develops such a model by combining two main ingredients: a gender gap in the endowments of brawn (as in Galor & Weil 1996 ) generates a social norm, which each parental couple takes as given (as in Lagerlöf 2003 ). The social norm evolves endogenously, but slowly; it tracks the gender ratio of labor supply in the market, but with a small elasticity. When the male-female ratio in labor supply decreases, stereotypes adjust and the norm becomes less discriminatory against women.

The model generates a U-shaped relationship between economic development and female labor force participation. Footnote 13 In the preindustrial stage, there is no education and all labor activities are unskilled, i.e., produced with brawn. Because men have a comparative advantage in brawn, they supply more labor to the market than women, who specialize in home production. This gender gap in labor supply creates a social norm that favors boys over girls. Over time, exogenous skill-biased technological progress raises the relative returns to brains, inducing parents to invest in their children’s education. At the beginning, however, because of the social norm, only boys become educated. The economy accumulates human capital and grows, generating a positive income effect that, in isolation, would eventually drive up parental investments in girls’ education. Footnote 14 But endogenous social norms move in the opposite direction. When only boys receive education, the gender gap in returns to market work increases, and women withdraw to home production. As female relative labor supply in the market drops, the social norm becomes more discriminatory against women. As a result, parents want to invest relatively less in their daughters’ education.

In the end, initial conditions determine which of the forces dominates, thereby shaping long-term outcomes. If, initially, the social norm is very discriminatory, its effect is stronger than the income effect; the economy becomes trapped in an equilibrium with high gender inequality and low per capita income. If, on the other hand, social norms are relatively egalitarian to begin with, then the income effect dominates, and the economy converges to an equilibrium with gender equality and high income per capita.

In the models reviewed so far, human capital or brain endowments can be understood as combining both education and health. Bloom et al. ( 2015 ) explicitly distinguish these two dimensions. Health affects labor market earnings because sick people are out of work more often (participation effect) and are less productive per hour of work (productivity effect). Female health is assumed to be worse than male health, implying that women’s effective wages are lower than men’s. As a result, women are solely responsible for childrearing. Footnote 15

The model produces two growth regimes: a Malthusian trap with high fertility and no educational investments; and a regime of sustained growth, declining fertility, and rising educational investments. Once wages reach a certain threshold, the economy goes through a fertility transition and education expansion, taking off from the Malthusian regime to the sustained growth regime.

Female health promotes growth in both regimes, and it affects the timing of the takeoff. The healthier women are, the earlier the economy takes off. The reason is that a healthier woman earns a higher effective wage and, consequently, faces higher opportunity costs of raising children. When female health improves, the rising opportunity costs of children reduce the wage threshold at which educational investments become attractive; the fertility transition and mass education periods occur earlier.

In contrast, improved male health slows down economic growth and delays the fertility transition. When men become healthier, there is only a income effect on the demand for children, without the negative substitution effect (because male childrearing time is already zero). The policy conclusion would be to redistribute health from men to women. However, the policy would impose a static utility cost on the household. Because women’s time allocation to market work is constrained by childrearing responsibilities (whereas men work full-time), the marginal effect of health on household income is larger for men than for women. From the household’s point of view, reducing the gender gap in health produces a trade-off between short-term income maximization and long-term economic development.

In an extension of the model, the authors endogeneize health investments, while keeping the assumption that women pay the full time cost of childrearing. Because women participate less in the labor market (due to childrearing duties), it is optimal for households to invest more in male health. A health gender gap emerges from rational household behavior that takes into account how time-constraints differ by gender; assuming taste-based discrimination against girls or gender-specific preferences is not necessary.

In the models reviewed so far, parents invest in their children’s human capital for purely altruistic reasons. This is captured in the models by assuming that parents derive utility directly from the quantity and quality of children. This is the classical representation of children as durable consumption goods (e.g., Becker 1960 ). In reality, of course, parents may also have egoistic motivations for investing in child quantity and quality. A typical example is that, when parents get old and retire, they receive support from their children. The quantity and quality of children will affect the size of old-age transfers and parents internalize this in their fertility and childcare behavior. According to this view, children are best understood as investment goods.

Zhang et al. ( 1999 ) build an endogenous growth model that incorporates the old-age support mechanism in parental decisions. Another innovative element of their model is that parents can choose the gender of their children. The implicit assumption is that sex selection technologies are freely available to all parents.

At birth, there is a gender gap in human capital endowment, favoring boys over girls. Footnote 16 In adulthood, a child’s human capital depends on the initial endowment and on the parents’ human capital. In addition, the probability that a child survives to adulthood is exogenous and can differ by gender.

Parents receive old-age support from children that survive until adulthood. The more human capital children have, the more old-age support they provide to their parents. Beyond this egoistic motive, parents also enjoy the quantity and the quality of children (altruistic motive). Son preference is modeled by boys having a higher relative weight in the altruistic-component of the parental utility function. In other words, in their enjoyment of children as consumer goods, parents enjoy “consuming” a son more than “consuming” a girl. Parents who prefer sons want more boys than girls. A larger preference for sons, a higher relative survival probability of boys, and a higher human capital endowment of boys positively affect the sex ratio at birth, because, in the parents’ perspective, all these forces increase the marginal utility of boys relative to girls.

Zhang et al. ( 1999 ) show that, if human capital transmission from parents to children is efficient enough, the economy grows endogenously. When boys have a higher human capital endowment than girls, and the survival probability of sons is not smaller than the survival probability of daughters, then only sons provide old-age support. Anticipating this, parents invest more in the human capital of their sons than on the human capital of their daughters. As a result, the gender gap in human capital at birth widens endogenously.

When only boys provide old-age support, an exogenous increase in son preference harms long-run economic growth. The reason is that, when son preference increases, parents enjoy each son relatively more and demand less old-age support from him. Other things equal, parents want to “consume” more sons now and less old-age support later. Because parents want more sons, the sex ratio at birth increases; but because each son provides less old-age support, human capital investments per son decrease (such that the gender gap in human capital narrows). At the aggregate level, the pace of human capital accumulation slows down and, in the long run, economic growth is lower. Thus, an exogenous increase in son preference increases the sex ratio at birth, and reduces human capital accumulation and long-run growth (although it narrows the gender gap in education).

In summary, in growth models with unitary households, gender inequality is closely linked to the division of labor between family members. If women earn relatively less in market activities, they specialize in childrearing and home production, while men specialize in market work. And precisely due to this division of labor, the returns to female educational investments are relatively low. These household behaviors translate into higher fertility and lower human capital and thus pose a barrier to long-run development.

4 Intra-household bargaining: husbands and wives

In this section, we review models populated with non-unitary households, where decisions are the result of bargaining between the spouses. There are two broad types of bargaining processes: non-cooperative, where spouses act independently or interact in a non-cooperative game that often leads to inefficient outcomes (e.g., Doepke & Tertilt 2019 , Heath & Tan 2020 ); and cooperative, where the spouses are assumed to achieve an efficient outcome (e.g., De la Croix & Vander Donckt 2010 ; Diebolt & Perrin 2013 ). As in the previous section, all of these non-unitary models take the household as given, thereby abstracting from marriage markets or other household formation institutions, which will be discussed separately in section 5 . When preferences differ by gender, bargaining between the spouses matters for economic growth. If women care more about child quality than men do and human capital accumulation is the main engine of growth, then empowering women leads to faster economic growth (Prettner & Strulik 2017 ). If, however, men and women have similar preferences but are imperfect substitutes in the production of household public goods, then empowering women has an ambiguous effect on economic growth (Doepke & Tertilt 2019 ).

A separate channel concerns the intergenerational transmission of human capital and woman’s role as the main caregiver of children. If the education of the mother matters more than the education of the father in the production of children’s human capital, then empowering women will be conducive to growth (Agénor 2017 ; Diebolt & Perrin 2013 ), with the returns to education playing a crucial role in the political economy of female empowerment (Doepke & Tertilt 2009 ).

However, different dimensions of gender inequality have different growth impacts along the development process (De la Croix & Vander Donckt 2010 ). Policies that improve gender equality across many dimensions can be particularly effective for economic growth by reaping complementarities and positive externalities (Agénor 2017 ).

The idea that women might have stronger preferences for child-related expenditures than men can be easily incorporated in a Beckerian model of fertility. The necessary assumption is that women place a higher weight on child quality (relative to child quantity) than men do. Prettner & Strulik ( 2017 ) build a unified growth theory model with collective households. Men and women have different preferences, but they achieve efficient cooperation based on (reduced-form) bargaining parameters. The authors study the effect of two types of preferences: (i) women are assumed to have a relative preference for child quality, while men have a relative preference for child quantity; and (ii) parents are assumed to have a relative preference for the education of sons over the education of daughters. In addition, it is assumed that the time cost of childcare borne by men cannot be above that borne by women (but it could be the same).

When women have a relative preference for child quality, increasing female empowerment speeds up the economy’s escape from a Malthusian trap of high fertility, low education, and low income per capita. When female empowerment increases (exogenously), a woman’s relative preference for child quality has a higher impact on household’s decisions. As a consequence, fertility falls, human capital accumulates, and the economy starts growing. The model also predicts that the more preferences for child quality differ between husband and wife, the more effective is female empowerment in raising long-run per capita income, because the sooner the economy escapes the Malthusian trap. This effect is not affected by whether parents have a preference for the education of boys relative to that of girls. If, however, men and women have similar preferences with respect to the quantity and quality of their children, then female empowerment does not affect the timing of the transition to the sustained growth regime.

Strulik ( 2019 ) goes one step further and endogeneizes why men seem to prefer having more children than women. The reason is a different preference for sexual activity: other things equal, men enjoy having sex more than women. Footnote 17 When cheap and effective contraception is not available, a higher male desire for sexual activity explains why men also prefer to have more children than women. In a traditional economy, where no contraception is available, fertility is high, while human capital and economic growth are low. When female bargaining power increases, couples reduce their sexual activity, fertility declines, and human capital accumulates faster. Faster human capital accumulation increases household income and, as a consequence, the demand for contraception goes up. As contraception use increases, fertility declines further. Eventually, the economy undergoes a fertility transition and moves to a modern regime with low fertility, widespread use of contraception, high human capital, and high economic growth. In the modern regime, because contraception is widely used, men’s desire for sex is decoupled from fertility. Both sex and children cost time and money. When the two are decoupled, men prefer to have more sex at the expense of the number of children. There is a reversal in the gender gap in desired fertility. When contraceptives are not available, men desire more children than women; once contraceptives are widely used, men desire fewer children than women. If women are more empowered, the transition from the traditional equilibrium to the modern equilibrium occurs faster.

Both Prettner & Strulik ( 2017 ) and Strulik ( 2019 ) rely on gender-specific preferences. In contrast, Doepke & Tertilt ( 2019 ) are able to explain gender-specific expenditure patterns without having to assume that men and women have different preferences. They set up a non-cooperative model of household decision making and ask whether more female control of household resources leads to higher child expenditures and, thus, to economic development. Footnote 18

In their model, household public goods are produced with two inputs: time and goods. Instead of a single home-produced good (as in most models), there is a continuum of household public goods whose production technologies differ. Some public goods are more time-intensive to produce, while others are more goods-intensive. Each specific public good can only be produced by one spouse—i.e., time and good inputs are not separable. Women face wage discrimination in the labor market, so their opportunity cost of time is lower than men’s. As a result, women specialize in the production of the most time-intensive household public goods (e.g., childrearing activities), while men specialize in the production of goods-intensive household public goods (e.g., housing infrastructure). Notice that, because the household is non-cooperative, there is not only a division of labor between husband and wife, but also a division of decision making, since ultimately each spouse decides how much to provide of his or her public goods.

When household resources are redistributed from men to women (i.e., from the high-wage spouse to the low-wage spouse), women provide more public goods, in relative terms. It is ambiguous, however, whether the total provision of public goods increases with the re-distributive transfer. In a classic model of gender-specific preferences, a wife increases child expenditures and her own private consumption at the expense of the husband’s private consumption. In Doepke & Tertilt ( 2019 ), however, the rise in child expenditures (and time-intensive public goods in general) comes at the expense of male consumption and male-provided public goods.

Parents contribute to the welfare of the next generation in two ways: via human capital investments (time-intensive, typically done by the mother) and bequests of physical capital (goods-intensive, typically done by the father). Transferring resources to women increases human capital, but reduces the stock of physical capital. The effect of such transfers on economic growth depends on whether the aggregate production function is relatively intensive in human capital or in physical capital. If aggregate production is relatively human capital intensive, then transfers to women boost economic growth; if it is relatively intensive in physical capital, then transfers to women may reduce economic growth.

There is an interesting paradox here. On the one hand, transfers to women will be growth-enhancing in economies where production is intensive in human capital. These would be more developed, knowledge intensive, service economies. On the other hand, the positive growth effect of transfers to women increases with the size of the gender wage gap, that is, decreases with female empowerment. But the more advanced, human capital intensive economies are also the ones with more female empowerment (i.e., lower gender wage gaps). In other words, in settings where human capital investments are relatively beneficial, the contribution of female empowerment to human capital accumulation is reduced. Overall, Doepke and Tertilt’s ( 2019 ) model predicts that female empowerment has at best a limited positive effect and at worst a negative effect on economic growth.

Heath & Tan ( 2020 ) argue that, in a non-cooperative household model, income transfers to women may increase female labor supply. Footnote 19 This result may appear counter-intuitive at first, because in collective household models unearned income unambiguously reduces labor supply through a negative income effect. In Heath and Tan’s model, husband and wife derive utility from leisure, consuming private goods, and consuming a household public good. The spouses decide separately on labor supply and monetary contributions to the household public good. Men and women are identical in preferences and behavior, but women have limited control over resources, with a share of their income being captured by the husband. Female control over resources (i.e., autonomy) depends positively on the wife’s relative contribution to household income. Thus, an income transfer to the wife, keeping husband unearned income constant, raises the fraction of her own income that she privately controls. This autonomy effect unambiguously increases women’s labor supply, because the wife can now reap an additional share of her wage bill. Whenever the autonomy effect dominates the (negative) income effect, female labor supply increases. The net effect will be heterogeneous over the wage distribution, but the authors show that aggregate female labor supply is always weakly larger after the income transfer.

Diebolt & Perrin ( 2013 ) assume cooperative bargaining between husband and wife, but do not rely on sex-specific preferences or differences in ability. Men and women are only distinguished by different uses of their time endowments, with females in charge of all childrearing activities. In line with this labor division, the authors further assume that only the mother’s human capital is inherited by the child at birth. On top of the inherited maternal endowment, individuals can accumulate human capital during adulthood, through schooling. The higher the initial human capital endowment, the more effective is the accumulation of human capital via schooling.

A woman’s bargaining power in marriage determines her share in total household consumption and is a function of the relative female human capital of the previous generation. An increase in the human capital of mothers relative to that of fathers has two effects. First, it raises the incentives for human capital accumulation of the next generation, because inherited maternal human capital makes schooling more effective. Second, it raises the bargaining power of the next generation of women and, because women’s consumption share increases, boosts the returns on women’s education. The second effect is not internalized in women’s time allocation decisions; it is an intergenerational externality. Thus, an exogenous increase in women’s bargaining power would promote economic growth by speeding up the accumulation of human capital across overlapping generations.

De la Croix & Vander Donckt ( 2010 ) contribute to the literature by clearly distinguishing between different gender gaps: a gap in the probability of survival, a wage gap, a social and institutional gap, and a gender education gap. The first three are exogenously given, while the fourth is determined within the model.

By assumption, men and women have identical preferences and ability, but women pay the full time cost of childrearing. As in a typical collective household model, bargaining power is partially determined by the spouses’ earnings potential (i.e., their levels of human capital and their wage rates). But there is also a component of bargaining power that is exogenous and captures social norms that discriminate against women—this is the social and institutional gender gap.

Husbands and wives bargain over fertility and human capital investments for their children. A standard Beckerian result emerges: parents invest relatively less in the education of girls, because girls will be more time-constrained than boys and, therefore, the female returns to education are lower in relative terms.

There are at least two regimes in the economy: a corner regime and an interior regime. The corner regime consists of maximum fertility, full gender specialization (no women in the labor market), and large gender gaps in education (no education for girls). Reducing the wage gap or the social and institutional gap does not help the economy escaping this regime. Women are not in labor force, so the wage gap is meaningless. The social and institutional gap will determine women’s share in household consumption, but does not affect fertility and growth. At this stage, the only effective instruments for escaping the corner regime are reducing the gender survival gap or reducing child mortality. Reducing the gender survival gap increases women’s lifespan, which increases their time budget and attracts them to the labor market. Reducing child mortality decreases the time costs of kids, therefore drawing women into the labor market. In both cases, fertility decreases.

In the interior regime, fertility is below the maximum, women’s labor supply is above zero, and both boys and girls receive education. In this regime, with endogenous bargaining power, reducing all gender gaps will boost economic growth. Footnote 20 Thus, depending on the growth regime, some gender gaps affect economic growth, while others do not. Accordingly, the policy-maker should tackle different dimensions of gender inequality at different stages of the development process.

Agénor ( 2017 ) presents a computable general equilibrium that includes many of the elements of gender inequality reviewed so far. An important contribution of the model is to explicitly add the government as an agent whose policies interact with family decisions and, therefore, will impact women’s time allocation. Workers produce a market good and a home good and are organized in collective households. Bargaining power depends on the spouses’ relative human capital levels. By assumption, there is gender discrimination in market wages against women. On top, mothers are exclusively responsible for home production and childrearing, which takes the form of time spent improving children’s health and education. But public investments in education and health also improve these outcomes during childhood. Likewise, public investment in public infrastructure contributes positively to home production. In particular, the ratio of public infrastructure capital stock to private capital stock is a substitute for women’s time in home production. The underlying idea is that improving sanitation, transportation, and other infrastructure reduces time spent in home production. Health status in adulthood depends on health status in childhood, which, in turn, relates positively to mother’s health, her time inputs into childrearing, and government spending. Children’s human capital depends on similar factors, except that mother’s human capital replaces her health as an input. Additionally, women are assumed to derive less utility from current consumption and more utility from children’s health relative to men. Wives are also assumed to live longer than their husbands, which further down-weights female’s emphasis on current consumption. The final gendered assumption is that mother’s time use is biased towards boys. This bias alone creates a gender gap in education and health. As adults, women’s relative lower health and human capital are translated into relative lower bargaining power in household decisions.

Agénor ( 2017 ) calibrates this rich setup for Benin, a low income country, and runs a series of policy experiments on different dimensions of gender inequality: a fall in childrearing costs, a fall in gender pay discrimination, a fall in son bias in mother’s time allocation, and an exogenous increase in female bargaining power. Footnote 21 Interestingly, despite all policies improving gender equality in separate dimensions, not all unambiguously stimulate economic growth. For example, falling childrearing costs raise savings and private investments, which are growth-enhancing, but increase fertility (as children become ‘cheaper’) and reduce maternal time investment per child, thus reducing growth. In contrast, a fall in gender pay discrimination always leads to higher growth, through higher household income that, in turn, boosts savings, tax revenues, and public spending. Higher public spending further contributes to improved health and education of the next generation. Lastly, Agénor ( 2017 ) simulates the effect of a combined policy that improves gender equality in all domains simultaneously. Due to complementarities and positive externalities across dimensions, the combined policy generates more economic growth than the sum of the individual policies. Footnote 22

In the models reviewed so far, men are passive observers of women’s empowerment. Doepke & Tertilt ( 2009 ) set up an interesting political economy model of women’s rights, where men make the decisive choice. Their model is motivated by the fact that, historically, the economic rights of women were expanded before their political rights. Because the granting of economic rights empowers women in the household, and this was done before women were allowed to participate in the political process, the relevant question is why did men willingly share their power with their wives?

Doepke & Tertilt ( 2009 ) answer this question by arguing that men face a fundamental trade-off. On the one hand, husbands would vote for their wives to have no rights whatsoever, because husbands prefer as much intra-household bargaining power as possible. But, on the other hand, fathers would vote for their daughters to have economic rights in their future households. In addition, fathers want their children to marry highly educated spouses, and grandfathers want their grandchildren to be highly educated. By assumption, men and women have different preferences, with women having a relative preference for child quality over quantity. Accordingly, men internalize that, when women become empowered, human capital investments increase, making their children and grandchildren better-off.

Skill-biased (exogenous) technological progress that raises the returns to education over time can shift male incentives along this trade-off. When the returns to education are low, men prefer to make all decisions on their own and deny all rights to women. But once the returns to education are sufficiently high, men voluntarily share their power with women by granting them economic rights. As a result, human capital investments increase and the economy grows faster.

In summary, gender inequality in labor market earnings often implies power asymmetries within the household, with men having more bargaining power than women. If preferences differ by gender and female preferences are more conducive to development, then empowering women is beneficial for growth. When preferences are the same and the bargaining process is non-cooperative, the implications are less clear-cut, and more context-specific. If, in addition, women’s empowerment is curtailed by law (e.g., restrictions on women’s economic rights), then it is important to understand the political economy of women’s rights, in which men are crucial actors.

5 Marriage markets and household formation

Two-sex models of economic growth have largely ignored how households are formed. The marriage market is not explicitly modeled: spouses are matched randomly, marriage is universal and monogamous, and families are nuclear. In reality, however, household formation patterns vary substantially across societies, with some of these differences extending far back in history. For example, Hajnal ( 1965 , 1982 ) described a distinct household formation pattern in preindustrial Northwestern Europe (often referred to as the “European Marriage Pattern”) characterized by: (i) late ages at first marriage for women, (ii) most marriages done under individual consent, and (iii) neolocality (i.e., upon marriage, the bride and the groom leave their parental households to form a new household). In contrast, marriage systems in China and India consisted of: (i) very early female ages at first marriage, (ii) arranged marriages, and (iii) patrilocality (i.e., the bride joins the parental household of the groom).

Economic historians argue that the “European Marriage Pattern” empowered women, encouraging their participation in market activities and reducing fertility levels. While some view this as one of the deep-rooted factors explaining Northwestern Europe’s earlier takeoff to sustained economic growth (e.g., Carmichael, de Pleijt, van Zanden and De Moor 2016 ; De Moor & Van Zanden 2010 ; Hartman 2004 ), others have downplayed the long-run significance of this marriage pattern (e.g., Dennison & Ogilvie 2014 ; Ruggles 2009 ). Despite this lively debate, the topic has been largely ignored by growth theorists. The few exceptions are Voigtländer and Voth ( 2013 ), Edlund and Lagerlöf ( 2006 ), and Tertilt ( 2005 , 2006 ).

After exploring different marriage institutions, we zoom in on contemporary monogamous and consensual marriage and review models where gender inequality affects economic growth through marriage markets that facilitate household formation (Du & Wei 2013 ; Grossbard & Pereira 2015 ; Grossbard-Shechtman 1984 ; Guvenen & Rendall 2015 ). In contrast with the previous two sections, where the household is the starting point of the analysis, the literature on marriage markets and household formation recognizes that marriage, labor supply, and investment decisions are interlinked. The analysis of these interlinkages is sometimes done with unitary households (upon marriage) (Du & Wei 2013 ; Guvenen & Rendall 2015 ), or with non-cooperative models of individual decision-making within households (Grossbard & Pereira 2015 ; Grossbard-Shechtman 1984 ).

Voigtländer and Voth ( 2013 ) argue that the emergence of the “European Marriage Pattern” is a direct consequence of the mid-fourteen century Black Death. They set up a two-sector agricultural economy consisting of physically demanding cereal farming, and less physically demanding pastoral production. The economy is populated by many male and female peasants and by a class of idle, rent-maximizing landlords. Female peasants are heterogeneous with respect to physical strength, but, on average, are assumed to have less brawn relative to male peasants and, thus, have a comparative advantage in the pastoral sector. Both sectors use land as a production input, although the pastoral sector is more land-intensive than cereal production. All land is owned by the landlords, who can rent it out for peasant cereal farming, or use it for large-scale livestock farming, for which they hire female workers. Crucially, women can only work and earn wages in the pastoral sector as long as they are unmarried. Footnote 23 Peasant women decide when to marry and, upon marriage, a peasant couple forms a new household, where husband and wife both work on cereal farming, and have children at a given time frequency. Thus, the only contraceptive method available is delaying marriage. Because women derive utility from consumption and children, they face a trade-off between earned income and marriage.

Initially, the economy rests in a Malthusian regime, where land-labor ratios are relatively low, making the land-intensive pastoral sector unattractive and depressing relative female wages. As a result, women marry early and fertility is high. The initial regime ends in 1348–1350, when the Black Death kills between one third and half of Europe’s population, exogenously generating land abundance and, therefore, raising the relative wages of female labor in pastoral production. Women postpone marriage to reap higher wages, and fertility decreases—moving the economy to a regime of late marriages and low fertility.

In addition to late marital ages and reduced fertility, another important feature of the “European Marriage Pattern” was individual consent for marriage. Edlund and Lagerlöf ( 2006 ) study how rules of consent for marriage influence long-run economic development. In their model, marriages can be formed according to two types of consent rules: individual consent or parental consent. Under individual consent, young people are free to marry whomever they wish, while, under parental consent, their parents are in charge of arranging the marriage. Depending on the prevailing rule, the recipient of the bride-price differs. Under individual consent, a woman receives the bride-price from her husband, whereas, under parental consent, her father receives the bride-price from the father of the groom. Footnote 24 In both situations, the father of the groom owns the labor income of his son and, therefore, pays the bride-price, either directly, under parental consent, or indirectly, under individual consent. Under individual consent, the father needs to transfer resources to his son to nudge him into marrying. Thus, individual consent implies a transfer of resources from the old to the young and from men to women, relative to the rule of parental consent. Redistributing resources from the old to the young boosts long-run economic growth. Because the young have a longer timespan to extract income from their children’s labor, they invest relatively more in the human capital of the next generation. In addition, under individual consent, the reallocation of resources from men to women can have additional positive effects on growth, by increasing women’s bargaining power (see section 4 ), although this channel is not explicitly modeled in Edlund and Lagerlöf ( 2006 ).

Tertilt ( 2005 ) explores the effects of polygyny on long-run development through its impact on savings and fertility. In her model, parental consent applies to women, while individual consent applies to men. There is a competitive marriage market where fathers sell their daughters and men buy their wives. As each man is allowed (and wants) to marry several wives, a positive bride-price emerges in equilibrium. Footnote 25 Upon marriage, the reproductive rights of the bride are transferred from her father to her husband, who makes all fertility decisions on his own and, in turn, owns the reproductive rights of his daughters. From a father’s perspective, daughters are investments goods; they can be sold in the marriage market, at any time. This feature generates additional demand for daughters, which increases overall fertility, and reduces the incentives to save, which decreases the stock of physical capital. Under monogamy, in contrast, the equilibrium bride-price is negative (i.e., a dowry). The reason is that maintaining unmarried daughters is costly for their fathers, so they are better-off paying a (small enough) dowry to their future husbands. In this setting, the economic returns to daughters are lower and, consequently, so is the demand for children. Fertility decreases and savings increase. Thus, moving from polygny to monogamy lowers population growth and raises the capital stock in the long run, which translates into higher output per capita in the steady state.

Instead of enforcing monogamy in a traditionally polygynous setting, an alternative policy is to transfer marriage consent from fathers to daughters. Tertilt ( 2006 ) shows that when individual consent is extended to daughters, such that fathers do not receive the bride-price anymore, the consequences are qualitatively similar to a ban on polygyny. If fathers stop receiving the bride-price, they save more physical capital. In the long run, per capita output is higher when consent is transferred to daughters.

Grossbard-Shechtman ( 1984 ) develops the first non-cooperative model where (monogamous) marriage, home production, and labor supply decisions are interdependent. Footnote 26 Spouses are modeled as separate agents deciding over production and consumption. Marriage becomes an implicit contract for ‘work-in-household’ (WiHo), defined as “an activity that benefits another household member [typically a spouse] who could potentially compensate the individual for these efforts” (Grossbard 2015 , p. 21). Footnote 27 In particular, each spouse decides how much labor to supply to market work and WiHo, and how much labor to demand from the other spouse for WiHo. Through this lens, spousal decisions over the intra-marriage distribution of consumption and WiHo are akin to well-known principal-agent problems faced between firms and workers. In the marriage market equilibrium, a spouse benefiting from WiHo (the principal) must compensate the spouse producing it (the agent) via intra-household transfers (of goods or leisure). Footnote 28 Grossbard-Shechtman ( 1984 ) and Grossbard ( 2015 ) show that, under these conditions, the ratio of men to women (i.e., the sex ratio) in the marriage market is inversely related to female labor supply to the market. The reason is that, as the pool of potential wives shrinks, prospective husbands have to increase compensation for female WiHo. From the potential wife’s point of view, as the equilibrium price for her WiHo increases, market work becomes less attractive. Conversely, when sex ratios are lower, female labor supply outside the home increases. Although the model does not explicit derive growth implications, the relative increase in female labor supply is expected to be beneficial for economic growth, as argued by many of the theories reviewed so far.

In an extension of this framework, Grossbard & Pereira ( 2015 ) analyze how sex ratios affect gendered savings over the marital life-cycle. Assuming that women supply a disproportionate amount of labor for WiHo (due, for example, to traditional gender norms), the authors show that men and women will have very distinct saving trajectories. A higher sex ratio increases savings by single men, who anticipate higher compensation transfers for their wives’ WiHo, whereas it decreases savings by single women, who anticipate receiving those transfers upon marriage. But the pattern flips after marriage: precautionary savings raise among married women, because the possibility of marriage dissolution entails a loss of income from WiHo. The opposite effect happens for married men: marriage dissolution would imply less expenditures in the future. The higher the sex ratio, the higher will be the equilibrium compensation paid by husbands for their wives’ WiHo. Therefore, the sex ratio will positively affect savings among single men and married women, but negatively affect savings among single women and married men. The net effect on the aggregate savings rate and on economic growth will depend on the relative size of these demographic groups.

In a related article, Du & Wei ( 2013 ) propose a model where higher sex ratios worsen marriage markets prospects for young men and their families, who react by increasing savings. Women in turn reduce savings. However, because sex ratios shift the composition of the population in favor of men (high saving type) relative to women (low saving type) and men save additionally to compensate for women’s dis-saving, aggregate savings increase unambiguously with sex ratios.

In Guvenen & Rendall ( 2015 ), female education is, in part, demanded as insurance against divorce risk. The reason is that divorce laws often protect spouses’ future labor market earnings (i.e., returns to human capital), but force them to share their physical assets. Because, in the model, women are more likely to gain custody of their children after divorce, they face higher costs from divorce relative to their husbands. Therefore, the higher the risk of divorce, the more women invest in human capital, as insurance against a future vulnerable economic position. Guvenen & Rendall ( 2015 ) shows that, over time, divorce risk has increased (for example, consensual divorce became replaced by unilateral divorce in most US states in the 1970s). In the aggregate, higher divorce risk boosted female education and female labor supply.

In summary, the rules regulating marriage and household formation carry relevant theoretical consequences for economic development. While the few studies on this topic have focused on age at marriage, consent rules and polygyny, and the interaction between sex ratios, marriage, and labor supply, other features of the marriage market remain largely unexplored (Borella, De Nardi and Yang 2018 ). Growth theorists would benefit from further incorporating theories of household formation in gendered macro models. Footnote 29

6 Conclusion

In this article, we surveyed micro-founded theories linking gender inequality to economic development. This literature offers many plausible mechanisms through which inequality between men and women affects the aggregate economy (see Table 1 ). Yet, we believe the body of theories could be expanded in several directions. We discuss them below and highlight lessons for policy.

The first direction for future research concerns control over fertility. In models where fertility is endogenous, households are always able to achieve their preferred number of children (see Strulik 2019 , for an exception). The implicit assumption is that there is a free and infallible method of fertility control available for all households—a view rejected by most demographers. The gap between desired fertility and achieved fertility can be endogeneized at three levels. First, at the societal level, the diffusion of particular contraceptive methods may be influenced by cultural and religious norms. Second, at the household level, fertility control may be object of non-cooperative bargaining between the spouses, in particular, for contraceptive methods that only women perfectly observe (Ashraf, Field and Lee 2014 ; Doepke & Kindermann 2019 ). More generally, the role of asymmetric information within the household is not yet explored (Walther 2017 ). Third, if parents have preferences over the gender composition of their offspring, fertility is better modeled as a sequential and uncertain process, where household size is likely endogenous to the sex of the last born child (Hazan & Zoabi 2015 ).

A second direction worth exploring concerns gender inequality in a historical perspective. In models with multiple equilibria, an economy’s path is often determined by its initial level of gender equality. Therefore, it would be useful to develop theories explaining why initial conditions varied across societies. In particular, there is a large literature on economic and demographic history documenting how systems of marriage and household formation differed substantially across preindustrial societies (e.g., De Moor & Van Zanden 2010 ; Hajnal 1965 , 1982 ; Hartman 2004 ; Ruggles 2009 ). In our view, more theoretical work is needed to explain both the origins and the consequences of these historical systems.

A third avenue for future research concerns the role of technological change. In several models, technological change is the exogenous force that ultimately erodes gender gaps in education or labor supply (e.g., Bloom et al. 2015 ; Doepke & Tertilt 2009 ; Galor & Weil 1996 ). For that to happen, technological progress is assumed to be skill-biased, thus raising the returns to education—or, in other words, favoring brain over brawn. As such, new technologies make male advantage in physical strength ever more irrelevant, while making female time spent on childrearing and housework ever more expensive. Moreover, recent technological progress increased the efficiency of domestic activities, thereby relaxing women’s time constraints (e.g., Cavalcanti & Tavares 2008 ; Greenwood, Seshadri and Yorukoglu 2005 ). These mechanisms are plausible, but other aspects of technological change need not be equally favorable for women. In many countries, for example, the booming science, technology, and engineering sectors tend to be particularly male-intensive. And Tejani & Milberg ( 2016 ) provide evidence for developing countries that as manufacturing industries become more capital intensive, their female employment share decreases.

Even if current technological progress is assumed to weaken gender gaps, historically, technology may have played exactly the opposite role. If technology today is more complementary to brain, in the past it could have been more complementary to brawn. An example is the plow that, relative to alternative technologies for field preparation (e.g., hoe, digging stick), requires upper body strength, on which men have a comparative advantage over women (Alesina, Giuliano and Nunn 2013 ; Boserup 1970 ). Another, even more striking example, is the invention of agriculture itself—the Neolithic Revolution. The transition from a hunter-gatherer lifestyle to sedentary agriculture involved a relative loss of status for women (Dyble et al. 2015 ; Hansen, Jensen and Skovsgaard 2015 ). One explanation is that property rights on land were captured by men, who had an advantage on physical strength and, consequently, on physical violence. Thus, in the long view of human history, technological change appears to have shifted from being male-biased towards being female-biased. Endogeneizing technological progress and its interaction with gender inequality is a promising avenue for future research.

Fourth, open economy issues are still almost entirely absent. An exception is Rees & Riezman ( 2012 ), who model the effect of globalization on economic growth. Whether global capital flows generate jobs primarily in female or male intensive sectors matters for long-run growth. If globalization creates job opportunities for women, their bargaining power increases and households trade off child quantity by child quality. Fertility falls, human capital accumulates, and long-run per capita output is high. If, on the other hand, globalization creates jobs for men, their intra-household power increases; fertility increases, human capital decreases, and steady-state income per capita is low. The literature would benefit from engaging with open economy demand-driven models of the feminist tradition, such as Blecker & Seguino ( 2002 ), Seguino ( 2010 ). Other fruitful avenues for future research on open economy macro concern gender analysis of global value chains (Barrientos 2019 ), gendered patterns of international migration (Cortes 2015 ; Cortes & Tessada 2011 ), and the diffusion of gender norms through globalization (Beine, Docquier and Schiff 2013 ; Klasen 2020 ; Tuccio & Wahba 2018 ).

A final point concerns the role of men in this literature. In most theoretical models, gender inequality is not the result of an active male project that seeks the domination of women. Instead, inequality emerges as a rational best response to some underlying gender gap in endowments or constraints. Then, as the underlying gap becomes less relevant—for example, due to skill-biased technological change—, men passively relinquish their power (see Doepke & Tertilt 2009 , for an exception). There is never a male backlash against the short-term power loss that necessarily comes with female empowerment. In reality, it is more likely that men actively oppose losing power and resources towards women (Folbre 2020 ; Kabeer 2016 ; Klasen 2020 ). This possibility has not yet been explored in formal models, even though it could threaten the typical virtuous cycle between gender equality and growth. If men are forward-looking, and the short-run losses outweigh the dynamic gains from higher growth, they might ensure that women never get empowered to begin with. Power asymmetries tend to be sticky, because “any group that is able to claim a disproportionate share of the gains from cooperation can develop social institutions to fortify their position” (Folbre 2020 , p. 199). For example, Eswaran & Malhotra ( 2011 ) set up a household decision model where men use domestic violence against their wives as a tool to enhance male bargaining power. Thus, future theories should recognize more often that men have a vested interest on the process of female empowerment.

More generally, policymakers should pay attention to the possibility of a male backlash as an unintended consequence of female empowerment policies (Erten & Keskin 2018 ; Eswaran & Malhotra 2011 ). Likewise, whereas most theories reviewed here link lower fertility to higher economic growth, the relationship is non-monotonic. Fertility levels below the replacement rate will eventually generate aggregate social costs in the form of smaller future workforces, rapidly ageing societies, and increased pressure on welfare systems, to name a few.

Many theories presented in this survey make another important practical point: public policies should recognize that gender gaps in separate dimensions complement and reinforce one another and, therefore, have to be dealt with simultaneously. A naïve policy targeting a single gap in isolation is unlikely to have substantial growth effects in the short run. Typically, inequalities in separate dimensions are not independent from each other (Agénor 2017 ; Bandiera & Does 2013 ; Duflo 2012 ; Kabeer 2016 ). For example, if credit-constrained women face weak property rights, are unable to access certain markets, and have mobility and time constraints, then the marginal return to capital may nevertheless be larger for men. Similarly, the return to male education may well be above the female return if demand for female labor is low or concentrated in sectors with low productivity. In sum, “the fact that women face multiple constraints means that relaxing just one may not improve outcomes” (Duflo 2012 , p. 1076).

Promising policy directions that would benefit from further macroeconomic research are the role of public investments in physical infrastructure and care provision (Agénor 2017 ; Braunstein, Bouhia and Seguino 2020 ), gender-based taxation (Guner, Kaygusuz and Ventura 2012 ; Meier & Rainer 2015 ), and linkages between gender equality and pro-environmental agendas (Matsumoto 2014 ).

See Echevarria & Moe ( 2000 ) for a similar complaint that “theories of economic growth and development have consistently neglected to include gender as a variable” (p. 77).

A non-exhaustive list includes Bandiera & Does ( 2013 ), Braunstein ( 2013 ), Cuberes & Teignier ( 2014 ), Duflo ( 2012 ), Kabeer ( 2016 ), Kabeer & Natali ( 2013 ), Klasen ( 2018 ), Seguino ( 2013 , 2020 ), Sinha et al. ( 2007 ), Stotsky ( 2006 ), World Bank ( 2001 , 2011 ).

For an in-depth history of “new home economics” see Grossbard-Shechtman ( 2001 ) and Grossbard ( 2010 , 2011 ).

For recent empirical reviews see Duflo ( 2012 ) and Doss ( 2013 ).

Although the unitary approach has being rejected on theoretical (e.g., Echevarria & Moe 2000 ; Folbre 1986 ; Knowles 2013 ; Sen 1989 ) and empirical grounds (e.g., Doss 2013 ; Duflo 2003 ; Lundberg et al. 1997 ), these early models are foundational to the subsequent literature. As it turns out, some of the key mechanisms survive in non-unitary theories of the household.

For nice conceptual perspectives on conflict and cooperation in households see Sen ( 1989 ), Grossbard ( 2011 ), and Folbre ( 2020 ).

The relationship depicted in Fig. 1 is robust to using other composite measures of gender equality (e.g., UNDP’s Gender Inequality Index or OECD’s Social Institutions and Gender Index (SIGI) (see Branisa, Klasen and Ziegler 2013 )), and other years besides 2000. In Fig. 2 , the linear prediction explains 56 percent of the cross-country variation in per capita income.

See Seguino ( 2013 , 2020 ) for a review of this literature.

The model allows for sorting on ability (“some people are better teachers”) or sorting on occupation-specific preferences (“others derive more utility from working as a teacher”) (Hsieh et al. 2019 , p. 1441). Here, we restrict our presentation to the case where sorting occurs primarily on ability. The authors find little empirical support for sorting on preferences.

Because the home sector is treated as any other occupation, the model can capture, in a reduced-form fashion, social norms on women’s labor force participation. For example, a social norm on traditional gender roles can be represented as a utility premium obtained by all women working on the home sector.

Note, however, that discrimination against women raises productivity in the non-agricultural sector. The reason is that the few women who end up working outside agriculture are positively selected on talent. Lee ( 2020 ) shows that this countervailing effect is modest and dominated by the loss of productivity in agriculture.

This is not the classic Beckerian quantity-quality trade-off because parents cannot invest in the quality of their children. Instead, the mechanism is built by assumption in the household’s utility function. When women’s wages increase relative to male wages, the substitution effect dominates the income effect.

The hypothesis that female labor force participation and economic development have a U-shaped relationship—known as the feminization-U hypothesis—goes back to Boserup ( 1970 ). See also Goldin ( 1995 ). Recently, Gaddis & Klasen ( 2014 ) find only limited empirical support for the feminization-U.

The model does not consider fertility decisions. Parents derive utility from their children’s human capital (social status utility). When household income increases, parents want to “consume” more social status by investing in their children’s education—this is the positive income effect.

Bloom et al. ( 2015 ) build their main model with unitary households, but show that the key conclusions are robust to a collective representation of the household.

This assumption does not necessarily mean that boys are more talented than girls. It can be also interpreted as a reduced-form way of capturing labor market discrimination against women.

Many empirical studies are in line with this assumption, which is rooted in evolutionary psychology. See Strulik ( 2019 ) for references. There are several other evolutionary arguments for men wanting more children (including with different women). See, among others, Mulder & Rauch ( 2009 ), Penn & Smith ( 2007 ), von Rueden & Jaeggi ( 2016 ). However, for a different view, see Fine ( 2017 ).

They do not model fertility decisions. So there is no quantity-quality trade-off.

In their empirical application, Heath & Tan ( 2020 ) study the Hindu Succession Act, which, through improved female inheritance rights, increased the lifetime unearned income of Indian women. Other policies consistent with the model are, for example, unconditional cash transfers to women.

De la Croix & Vander Donckt ( 2010 ) show this with numerical simulations, because the interior regime becomes analytically intractable.

We focus on gender-related policies in our presentation, but the article simulates additional public policies.

Agénor and Agénor ( 2014 ) develop a similar model, but with unitary households, and Agénor and Canuto ( 2015 ) have a similar model of collective households for Brazil, where adult women can also invest time in human capital formation. Since public infrastructure substitutes for women’s time in home production, more (or better) infrastructure can free up time for female human capital accumulation and, thus, endogenously increase wives’ bargaining power.

Voigtländer and Voth ( 2013 ) justify this assumption arguing that, in England, employment contracts for farm servants working in animal husbandry were conditional on celibacy. However, see Edwards & Ogilvie ( 2018 ) for a critique of this assumption.

The bride-price under individual consent need not be paid explicitly as a lump-sum transfer. It could, instead, be paid to the bride implicitly in the form of higher lifetime consumption.

In Tertilt ( 2005 ), all men are similar (except in age). Widespread polygyny is possible because older men marry younger women and population growth is high. This setup reflects stylized facts for Sub-Saharan Africa. It differs from models that assume male heterogeneity in endowments, where polygyny emerges because a rich male elite owns several wives, while poor men remain single (e.g., Gould, Moav and Simhon 2008 ; Lagerlöf 2005 , 2010 ).

See Grossbard ( 2015 ) for more details and extensions of this model and Grossbard ( 2018 ) for a non-technical overview of the related literature. For an earlier application, see Grossbard ( 1976 ).

The concept of WiHo is closely related but not equivalent to the ‘black-box’ term home production used by much of the literature. It also relates to feminist perspectives on care and social reproduction labor (c.f. Folbre 1994 ).

In the general setup, the model need not lead to a corner solution where only one spouse specializes in WiHo.

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Acknowledgements

We thank the Editor, Shoshana Grossbard, and three anonymous reviewers for helpful comments. We gratefully acknowledge funding from the Growth and Economic Opportunities for Women (GrOW) initiative, a multi-funder partnership between the UK’s Department for International Development, the Hewlett Foundation and the International Development Research Centre. All views expressed here and remaining errors are our own. Manuel dedicates this article to Stephan Klasen, in loving memory.

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Santos Silva, M., Klasen, S. Gender inequality as a barrier to economic growth: a review of the theoretical literature. Rev Econ Household 19 , 581–614 (2021). https://doi.org/10.1007/s11150-020-09535-6

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Gender Inequality Essay

500+ words essay on gender inequality.

For many years, the dominant gender has been men while women were the minority. It was mostly because men earned the money and women looked after the house and children. Similarly, they didn’t have any rights as well. However, as time passed by, things started changing slowly. Nonetheless, they are far from perfect. Gender inequality remains a serious issue in today’s time. Thus, this gender inequality essay will highlight its impact and how we can fight against it.

  About Gender Inequality Essay

Gender inequality refers to the unequal and biased treatment of individuals on the basis of their gender. This inequality happens because of socially constructed gender roles. It happens when an individual of a specific gender is given different or disadvantageous treatment in comparison to a person of the other gender in the same circumstance.

Get the huge list of more than 500 Essay Topics and Ideas

Impact of Gender Inequality

The biggest problem we’re facing is that a lot of people still see gender inequality as a women’s issue. However, by gender, we refer to all genders including male, female, transgender and others.

When we empower all genders especially the marginalized ones, they can lead their lives freely. Moreover, gender inequality results in not letting people speak their minds. Ultimately, it hampers their future and compromises it.

History is proof that fighting gender inequality has resulted in stable and safe societies. Due to gender inequality, we have a gender pay gap. Similarly, it also exposes certain genders to violence and discrimination.

In addition, they also get objectified and receive socioeconomic inequality. All of this ultimately results in severe anxiety, depression and even low self-esteem. Therefore, we must all recognize that gender inequality harms genders of all kinds. We must work collectively to stop these long-lasting consequences and this gender inequality essay will tell you how.

How to Fight Gender Inequality

Gender inequality is an old-age issue that won’t resolve within a few days. Similarly, achieving the goal of equality is also not going to be an easy one. We must start by breaking it down and allow it time to go away.

Firstly, we must focus on eradicating this problem through education. In other words, we must teach our young ones to counter gender stereotypes from their childhood.

Similarly, it is essential to ensure that they hold on to the very same beliefs till they turn old. We must show them how sports are not gender-biased.

Further, we must promote equality in the fields of labour. For instance, some people believe that women cannot do certain jobs like men. However, that is not the case. We can also get celebrities on board to promote and implant the idea of equality in people’s brains.

All in all, humanity needs men and women to continue. Thus, inequality will get us nowhere. To conclude the gender inequality essay, we need to get rid of the old-age traditions and mentality. We must teach everyone, especially the boys all about equality and respect. It requires quite a lot of work but it is possible. We can work together and achieve equal respect and opportunities for all genders alike.

FAQ of Gender Inequality Essay

Question 1: What is gender inequality?

Answer 1: Gender inequality refers to the unequal and biased treatment of individuals on the basis of their gender. This inequality happens because of socially constructed gender roles. It happens when an individual of a specific gender is given different or disadvantageous treatment in comparison to a person of the other gender in the same circumstance.

Question 2: How does gender inequality impact us?

Answer 2:  The gender inequality essay tells us that gender inequality impacts us badly. It takes away opportunities from deserving people. Moreover, it results in discriminatory behaviour towards people of a certain gender. Finally, it also puts people of a certain gender in dangerous situations.

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ReviseSociology

A level sociology revision – education, families, research methods, crime and deviance and more!

Good Resources for Teaching the Sociology of Sex and Gender

Table of Contents

An introduction to sex, gender and gender identity  

The resources below have been selected to help A-level sociology students and teachers studying (and teaching) an introduction to the concepts of sex and gender in the very first weeks of the two year course.

However the material below should also be useful across the entire two year sociology specification, and especially in the Theory and Methods aspect of the second year of study where Feminism and gender equality is one of the main themes.

How equal are men and women in the UK ?

Global Gender Inequalities – A Statistical Overview  

Statistics on gender equality in the UK  (historical, kept for posterity!)

Exam Style Questions

These are drawn from modules across the whole A-level course

Analyse two reasons for gender differences in subject choice (10)

Evaluate the view that the media present a stereotypical view of women (30)

Analyse two reasons why women remain economically disadvantaged compared to men (10)

Analyse two reasons why men commit more crime than women (10)

Sex and Gender In the News and social research in 2022

T he Conversation (2022) – not everyone is male or female

A Few Lionesses will Get Everything – the Gender Pay Gap in Women’s Football.

Why Football needs a gender revolution – The Conversation 2022

June 2022 – LGBTQ Britons twice as likely to see themselves as portrayed negatively in the media .

Various mainly 2022 analysis and articles about LGBTQ topics based on YouGov surveys

Human Rights Watch has some depressing articles for 2022 and further back, very global focus.

Contemporary Sociology in the news/ research in 2021

Kings College – Developing a Sub-national (regional) index of gender equality in the UK

The Conversation – Why women get paid less than men

Videos and Documentaries

Tom Daley – Illegal to be Me – exploring sexuality laws across Commonwealth countries.

Regularly published Research Studies (UK and Global Focus)

Office for National Statistics – The Gender Pay Gap in the UK .

The European Institute for Gender Equality (2021 report)

EIGE UK 2020 report

World Economic Forum: Global Gender Gap Report

Less than annual or not (/sure if) annual

The Trevor Report on LGBTQ mental health 2021

The LGBTQ Survey (2018)

(lack of) Action plan since the above survey

Stonewall – Lost in Britain (2018) the Trans Report.

YouGov – LGBTQ surveys .

YouGov – How Brits Describe Their Sexuality

YouGov – Do Brits think sexuality is a scale …?

Government Organisations  

UK Gov – The Gender Equality Monitor (up to 2018)

The Gender Equality Roadmap (2019)

Non-Government Organisations

Stonewall – Facts and Figures (links to various research)

LGBT Foundation

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Social Inequality in relation to gender

Understanding gender inequality.

• Definition of gender inequality: Gender inequality refers to the unequal treatment or perceptions of individuals based on their gender. This unfair treatment may stem from several factors, including patriarchal societal structures and stereotypical gender roles.
• Patriarchy: This is a social system in which men hold primary power and predominate in roles of political leadership, social privilege, and control of property.
• Intersectionality: Coined by Kimberle Crenshaw, this term refers to the overlapping or intersecting social identities and related systems of oppression, domination, or discrimination. It is key in understanding the multifaceted nature of gender inequality.

Gender Inequality in Different Domains

• Employment: The gender pay gap remains a key issue in employment, with men often earning more than women for doing the same job. Women can also face maternity discrimination, and they are underrepresented in senior roles and industries like science and engineering.
• Education: Girls typically outperform boys in education, but subject choices often follow traditional gender roles, with boys more likely to study maths and physics, and girls more likely to study humanities and languages.
• Health: In health, men often have higher mortality rates and die younger but women can have more health problems throughout life, with issues such as mental health often gendered.
• Political representation: Women are significantly underrepresented in politics and leadership roles, despite some progress in recent years.
• Domestic sphere: Gender inequalities can also persist in the home, with women often undertaking the bulk of unpaid care work and domestic chores.

Theoretical Perspectives on Gender Inequality

• Feminist perspectives: Feminist perspectives propose that society is characterised by gender inequalities that are built into social structures, and they call for social change to promote equality.
• Liberal Feminism: Liberal feminists focus on equal opportunities, calling for reforms in social, political and economic structures to eliminate gender discrimination.
• Radical Feminism: Radical feminists argue that patriarchy is the root cause of gender inequality, and advocate for a radical restructuring of society.
• Marxist Feminism: Marxist feminists see the exploitation of women in capitalism as a key source of gender inequality.
• Postmodern Feminism: Postmodern feminists challenge the notion of a universal female experience, recognising the different experiences of women across cultures, races and classes.

Dynamics of Gender Inequality

• The impact of socialisation: Gender socialisation, the process by which individuals learn their gender roles, can strongly contribute to establishing and maintaining gender inequalities.
• The role of media: The media plays a significant role in perpetuating gender stereotypes and shaping societal expectations of gender roles.
• Intersectional Discrimination: Combination of gender with other social categories like class, race, and sexuality can lead to multiple layers of inequality.
• The Impact of government policies: Policy decisions taken by government can either mitigate or exacerbate gender inequalities, influencing aspects such as equal pay, maternity rights, and representation in leadership roles.

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Open Access

Peer-reviewed

Research Article

Twenty years of gender equality research: A scoping review based on a new semantic indicator

Contributed equally to this work with: Paola Belingheri, Filippo Chiarello, Andrea Fronzetti Colladon, Paola Rovelli

Roles Conceptualization, Formal analysis, Funding acquisition, Visualization, Writing – original draft, Writing – review & editing

Affiliation Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Visualization, Writing – original draft, Writing – review & editing

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliations Department of Engineering, University of Perugia, Perugia, Italy, Department of Management, Kozminski University, Warsaw, Poland

Roles Conceptualization, Formal analysis, Funding acquisition, Writing – original draft, Writing – review & editing

Affiliation Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

• Paola Belingheri, 
• Filippo Chiarello, 
• Andrea Fronzetti Colladon, 
• Paola Rovelli

• Published: September 21, 2021
• https://doi.org/10.1371/journal.pone.0256474
• Reader Comments

9 Nov 2021: The PLOS ONE Staff (2021) Correction: Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLOS ONE 16(11): e0259930. https://doi.org/10.1371/journal.pone.0259930 View correction

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

Citation: Belingheri P, Chiarello F, Fronzetti Colladon A, Rovelli P (2021) Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLoS ONE 16(9): e0256474. https://doi.org/10.1371/journal.pone.0256474

Editor: Elisa Ughetto, Politecnico di Torino, ITALY

Received: June 25, 2021; Accepted: August 6, 2021; Published: September 21, 2021

Copyright: © 2021 Belingheri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.

Funding: P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.

As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.

Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.

Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?

To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].

Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.

This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.

This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.

Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].

Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.

Data collection

In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.

Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.

In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.

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https://doi.org/10.1371/journal.pone.0256474.t001

Text processing and keyword extraction

Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].

The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.

In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.

Classification of research topics

To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.

Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.

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Evaluation of semantic importance

Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].

The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.

The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].

Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].

The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.

This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.

Overview of main topics

In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.

Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.

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Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.

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Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.

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In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).

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There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .

The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.

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Compensation.

The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].

Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].

Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].

Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].

The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].

Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].

Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].

Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .

Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].

Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].

Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].

Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].

Decision-making.

This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].

At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].

At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].

Career progression.

Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .

Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].

In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].

Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .

A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].

The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].

Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].

Performance.

Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].

At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].

Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].

Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].

Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].

The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].

Organization.

The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].

Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].

Human capital.

Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.

The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].

Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .

On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].

Emerging topics: Leadership and entrepreneurship

Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].

One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].

Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].

Research gaps and conclusions

Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.

At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].

All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?

The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.

Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.

Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?

Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.

For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.

With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.

Supporting information

S1 text. keywords used for paper selection..

https://doi.org/10.1371/journal.pone.0256474.s001

Acknowledgments

The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).

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Social, Cultural and Gender Inequality From a Global Perspective Essay

As the executive chef for this hotel and resort corporation, applications for vacancies in the firm fall under my jurisdiction. Most of the respondents for the recently advertised supervisory vacancies are females from your culinary institution. We are also privileged to have a majority of our male employees who are graduates from your institution.

What is however disheartening is the reaction of these male employees on hearing that many of the supervisory posts applicants are females. The prospect of them being under supervision of female(s) does not augur well with them. This is definitely a shocker and it is really unbelievable that such a mentality still exists in today’s world.

Gender inequality which basically refers to open or concealed inequality between persons on the grounds of gender should not be an issue in this modern world (Centra and Gaubatz, 2003, p. 17). Graduates, and especially males, from your kind of institution are expected to be enlightened and are not expected to show any form of discrimination. They are expected to be way above such unacceptable practices at these times.

I would kindly like to give an insight on how this can be dealt with through various practices and training of students while they are still in the institution so that such instances does not occur elsewhere in future (Centra and Gaubatz, 2003, p. 18). Slotting into evocative discussion about gender of the tutors or lecturers with students will serve to prepare these young men and women to operate in a society that has turned more diverse and universal. It is the duty of the tutor to craft a lecture-room environment that serves to enhance meaningful discussions concerning gender.

As the society progressively turns to be global, learning institutions have an obligation to embrace gender diversity. Such an inclusiveness calls for both tutoring and gaining knowledge about gender issues. The seriousness with which most of these institutions seek to root for gender sensitivity is often debatable (Hernandez, 2001, p. 12). However, there is little doubt that involving students in meaningful discussions on gender will read them to fit in a society that is progressively getting more diverse.

So as to participate in any meaningful discussion about gender, the learners first need check their own convictions and mind-sets. Quite a large number of them do join learning institutions with already biased beliefs concerning given genders (Boerman-Cornell, 1999, p. 66).

This attitude definitely is carried into the lecture rooms. In today’s interdisciplinary class set ups, this poses problems mainly due to the following; convictions touching on gender attributes are not supported by any evidence at almost all times and such beliefs are opposed to change.

What makes this even more serious is that once the learners have shaped convictions concerning gender, they are stubborn toward differing explanations. It has also been proved that when information to counter their gender convictions is presented to them, it actually serves to reinforce their biased beliefs. This means that the lecturers have to do what it takes to counter learner resilience when talking about gender issues.

It has earlier been stated that it is normally the tutor’s duty to craft a lecture-room environment that enhances meaningful discussions concerning gender. Learners should be readied for the twofold activity of scholarly proficiency and experimental understanding (Hernandez, 2001, p. 14).

A good beginning point for tutors is to develop an open discussion concerning gender by getting into a more broad debate on gender attitudes. This is normally attained by enhancing learner aptitude and at the same time promoting their critical reasoning about the hypothetical machinations that underlie debate on gender issues.

For both genders, participation in discussions on gender calls to mind negative emotions. This is despite the fact that when the learners are faced up to arguments to lessen their levels of justification means, a reflective interpersonal set up of learning and development comes up (Centra and Gaubatz, 2003, p. 32).

For tutors to engage in significant discussions about race with the learners there are usually three aspects they need to have in mind. The first one is the lecturer/learner interaction. Coming up with a constructive association with learners in any course needs to take place on two stages.

The first one is to recognize the learners as a set. The tutor needs to be aware of grouping adherence and arrange for the ones who find it hard to conform to group pressure (Hernandez, 2001, p. 23). The second level points to individual contact between the tutor and the learner. Learning best takes place when there is a good rapport between the learner and his or her tutor.

The second aspect that tutors need to facilitate is attentive skills. This is achieved by way of voicing and body language (Boerman-Cornell, 1999, p. 69). Body and voice language also includes eye contact and the tutor must be attentive for nonverbal reactions from learners.

The third and final aspect that tutors need to embrace is different teaching styles. This is due to the fact that students learn best in various ways. There are those who are at home with visual presentations, those comfortable working in groups and those who get the points best by way of reading (Boerman-Cornell, 1999, p. 69).

Reference List

Boerman-Cornell, W. (1999). “The five humors.” English Journal, 88: 66-69.

Centra, J. and Gaubatz, N. (2003). “Is there Gender Bias in Student Evaluations of Teaching?” Journal of Higher Education 70 (1) 17-33.

Hernandez, H. (2001). “ Multicultural education: A teacher’s guide to linking context, process and content .” Upper Saddle River, NJ: Prentice Hall. 12-23.

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IvyPanda . 2018. "Social, Cultural and Gender Inequality From a Global Perspective." May 10, 2018. https://ivypanda.com/essays/equality-inequality-social-and-cultural-stratification-from-a-global-perspective/.

1. IvyPanda . "Social, Cultural and Gender Inequality From a Global Perspective." May 10, 2018. https://ivypanda.com/essays/equality-inequality-social-and-cultural-stratification-from-a-global-perspective/.

Bibliography

IvyPanda . "Social, Cultural and Gender Inequality From a Global Perspective." May 10, 2018. https://ivypanda.com/essays/equality-inequality-social-and-cultural-stratification-from-a-global-perspective/.