Demand-Side Factors Driving Labor Market Segmentation for Women

Why do women, despite being half the population, occupy such a small slice of India’s paid workforce? A big part of the answer lies on the demand side of the labor market, that is, in the choices employers make about whom to hire, for which jobs, and at what wage. While supply-side stories often focus on a woman’s education, marriage, or family responsibilities, demand-side factors look at the other half of the equation: the deeply rooted preferences, technologies, and policies that shape whether firms actively want to hire women in the first place. Understanding these forces helps explain why the Indian labor market remains so sharply segmented by gender.

What does demand-side segmentation actually mean? 🔗

Labor market segmentation refers to the division of the workforce into distinct compartments where workers face very different wages, security, and mobility. Women in India are concentrated in a narrow band of occupations such as domestic work, agriculture, garment manufacturing, nursing, and primary school teaching, while large swathes of better-paid manufacturing and managerial work remain male-dominated. Demand-side causes of this segmentation lie not with women’s own choices but with what employers are willing to offer them. A landmark IZA discussion paper by Ashwini Deshpande and Jitendra Singh found that almost none of the fall in female labour force participation between 1999 and 2011 could be explained by changes in women’s demographic characteristics, pointing instead to demand-side constraints as the dominant driver.

In other words, women are often not absent from the workforce because they don’t want jobs; they are absent because the jobs that suit their skills, schedules, and social context simply aren’t being created in sufficient numbers. Three demand-side forces stand out: traditional gender roles, modernization and mechanization, and protective legislation.

Traditional gender roles and the “secondary earner” trap 🔗

The first and most pervasive demand-side cause is the patriarchal idea that men are the primary breadwinners and women are, at best, supplementary earners. This is not just a household belief; it shapes the way employers think about workers. When recruiters assume that a woman’s income is “extra” rather than essential, they feel justified in offering her lower wages, fewer hours, or only those jobs considered “suitable” for women, such as caregiving, stitching, or clerical roles.

How employer perceptions create occupational segregation 🔗

This bias is observable in real recruitment data. A recent study documented in VoxDev found that gendered language in Indian job advertisements actively steers male and female applicants toward different roles, reinforcing the occupational segregation that already exists. Adjectives like “aggressive” or “leadership-driven” pull men, while “caring” or “supportive” pull women, and the cumulative effect is a workplace where men and women rarely compete for the same positions.

Because employers treat women as a “flexible reserve” of labor, they also feel comfortable paying them less for substantially similar work. The World Economic Forum’s Global Gender Gap Report 2024 ranked India 129 out of 146 countries on overall gender parity, with the economic participation and opportunity subindex among its weakest scores. The wage gap is not simply an accident of skill differences; it is partly the result of employers treating women’s labor as inherently worth less.

Social status and “housewifization” 🔗

Demand-side norms also interact with status concerns at the household level. In many middle- and upper-caste households, women withdrawing from paid work is treated as a marker of prosperity, which in turn signals to employers that women workers are unstable or short-term hires. Researchers have called this the “housewifization” of rural India, and as documented in a study on gender and mechanization, this trend has been visible across caste lines in industrializing pockets of states like Tamil Nadu. The result is a self-reinforcing loop: employers expect women to leave, so they invest less in training them, so women in turn find fewer reasons to stay.

Modernization and mechanization: when machines replace women first 🔗

The second major demand-side force is the way technological change reshapes who gets hired. Modernization is often celebrated as a path to higher productivity, but its effects on female employment have been strikingly uneven in India.

The gendered division of farm labor 🔗

Indian agriculture has long been organized around a sharp division of tasks. Men typically handle tilling and ploughing, work seen as physically demanding, while women dominate transplanting, weeding, and harvesting, work seen as requiring patience and precision. When tractors replaced bullock-driven ploughs in the 1990s and 2000s, they did not just substitute for male labor in tilling. Mechanized tilling also suppressed weed growth, which meant that the weeding work traditionally done by women was no longer needed in the same volumes.

Research by Farzana Afridi and Kanika Mahajan, summarized by Yale’s Economic Growth Center, found that 70 to 75 percent of the decline in women’s labour force participation during this period could be explained by agricultural mechanization. A separate analysis noted that a 32 percent rise in mechanization between 1999 and 2011 accounted for almost the entire fall in women’s farm labour use, with no compensating rise in non-farm employment for them.

Why men get the machines 🔗

An equally important pattern is who gets to operate the new machinery. Tractors, harvesters, and threshers are overwhelmingly operated by men, partly because of physical norms but largely because employers and households both assume that “machine work” is a male domain. As mechanization spreads, the demand for the manual tasks women performed shrinks, while the new machine-operating roles flow to men. The same logic applies in factories: when a textile mill installs automated looms, the supervisors and operators hired to run them are usually male, even if women earlier did the equivalent manual work.

This is what economists mean by “premature deindustrialisation.” India has moved from agriculture to services without building a labor-intensive manufacturing base that absorbs women, as East Asian economies once did. As argued in a CEPR column, the rise of capital-intensive service sectors in India has not generated enough jobs that women can plausibly access, leaving a structural mismatch between labour demand and supply.

Protective legislation: good intent, unintended demand effects 🔗

The third demand-side cause is one of the most paradoxical: laws designed to protect women workers can end up making employers less willing to hire them. India has a substantial body of protective legislation, ranging from restrictions on night work to mandatory crèche facilities, but the most discussed example today is the Maternity Benefit (Amendment) Act, 2017.

The Maternity Benefit Act and employer behavior 🔗

The 2017 amendment extended paid maternity leave from 12 to 26 weeks, one of the most generous entitlements globally, and made crèche facilities mandatory in establishments with 50 or more employees. The intent was unambiguously positive: improve maternal and child health, retain women after childbirth, and bring Indian standards closer to global recommendations. But the cost structure of the law is significant. As documented, employers in India bear the entire cost of paid maternity leave, plus the indirect costs of replacement workers and crèche infrastructure, with no government subsidy.

The predictable response from cost-sensitive employers, especially in small and medium enterprises, has been to quietly avoid hiring women of childbearing age, or to push them toward lower-paid roles where the cost of replacement is small. A widely cited TeamLease survey reported in The Better India estimated that 1.1 to 1.8 million women could lose jobs across sectors such as aviation, retail, education, and IT-enabled services in the year following the amendment. A more recent policy review notes that because the law only covers establishments with more than ten employees and requires 80 days of prior work, over 90 percent of Indian women in informal sectors are excluded altogether, while formal-sector firms become more selective about hiring women.

The wider lesson on policy design 🔗

Other protective rules, such as those restricting women from working at night in factories or in certain “hazardous” occupations, have a similar logic. They reduce the range of work women can be legally hired for, which in turn shrinks the demand for their labor. The problem is rarely the protection itself but the way costs are loaded entirely onto the employer. Many countries fund maternity leave through social insurance, spreading the cost across taxpayers rather than concentrating it on the firm that hires a young woman. Without such cost-sharing, well-intentioned laws can quietly worsen the very segmentation they hope to fix.

Connecting the threads 🔗

The three demand-side forces do not operate in isolation. Patriarchal norms tell employers that women are secondary earners, mechanization gives them an excuse to replace women’s tasks with machines run by men, and protective legislation raises the cost of hiring women in the formal sector. Together they push women into a narrow set of occupations, often informal, low-paid, and insecure. This is what makes the Indian labor market segmented: not just two groups of workers with different wages, but two groups facing fundamentally different demand from employers.

Breaking this segmentation requires more than encouraging women to study or work. It demands changes in how employers perceive women workers, how technology is adopted with attention to gendered tasks, and how the state shares the cost of family-friendly policies. Without action on the demand side, supply-side improvements in education and aspiration risk hitting a ceiling.

What do you think? 🔗

What do you think? If you were designing a maternity benefit policy for India tomorrow, would you keep the cost on employers or shift it to a state-funded social insurance model, and why? And in your own family or community, can you identify one job that was “feminized” or “masculinized” not because of skill but because of who employers expected to hire?

References

1. https://docs.iza.org/dp14639.pdf
2. https://voxdev.org/topic/labour-markets/markets-marriage-and-norms-understanding-female-labour-force-participation
3. https://www.weforum.org/publications/global-gender-gap-report-2024/
4. https://www.researchgate.net/publication/359924743_Gender_and_mechanization_Evidence_from_Indian_agriculture
5. https://egc.yale.edu/news/240520/why-women-india-are-dropping-out-workforce-farzana-afridi-and-kanika-mahajan-their-research-gender
6. https://amp.scroll.in/article/1030172/what-is-keeping-indian-women-out-of-the-workforce
7. https://cepr.org/voxeu/columns/demand-side-story-structural-change-and-decline-female-labour-force-participation
8. https://en.wikipedia.org/wiki/Maternity_Benefit_(Amendment)_Act,_2017
9. https://www.thebetterindia.com/152684/indias-maternity-law-women-jobs/
10. https://iisppr.org.in/impact-of-the-maternity-benefit-amendment-act-2017-on-womens-workforce-participation-in-india-2014-2024/