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Trade can dramatically improve women’s lives, creating new jobs, enhancing consumer choices, and increasing women’s bargaining power in society. It can also lead to job losses and a concentration of work in low-skilled employment. Given the complexity and specificity of the relationship between trade and gender, it is essential to assess the potential impact of trade policy on both women and men and to develop appropriate, evidence-based policies to ensure that trade helps to enhance opportunities for all. Research on gender equality and trade has been constrained by limited data and a lack of understanding of the connections among the economic roles that women play as workers, consumers, and decision makers. Building on new analyses and new sex-disaggregated data, Women and Trade: The Role of Trade in Promoting Gender Equality aims to advance the understanding of the relationship between trade and gender equality and to identify a series of opportunities through which trade can improve the lives of women.
We study whether higher gender equality facilitates economic growth by enabling better allocation of a valuable resource: female labor. By allocating female labor to its more productive use, we hypothesize that reducing gender inequality should disproportionately benefit industries with typically higher female share in their employment relative to other industries. Specifically, we exploit within-country variation across industries to test whether those that typically employ more women grow relatively faster in countries with ex-ante lower gender inequality. The test allows us to identify the causal effect of gender inequality on industry growth in value-added and labor productivity. Our findings show that gender inequality affects real economic outcomes.
Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions.
The development and use of Artificial Intelligence (AI) continue to expand opportunities for the achievement of the 17 United Nations Sustainable Development Goals (SDGs), including gender equality. Taking a closer look at the intersection of gender and technology, this collaboration between UNESCO, the Inter-American Development Bank (IDB) and the Organisation for Economic Co-operation and Development (OECD) examines the effects of AI on the working lives of women. This report describes the challenges and opportunities presented by the use of emerging technology such as AI from a gender perspective. The report highlights the need for more focus and research on the impacts of AI on women and the digital gender gap, in order to ensure that women are not left behind in the future of work.
This “sobering tale of the real consequences of gender bias” explores how Britain lost its early dominance in computing by systematically discriminating against its most qualified workers: women (Harvard Magazine) In 1944, Britain led the world in electronic computing. By 1974, the British computer industry was all but extinct. What happened in the intervening thirty years holds lessons for all postindustrial superpowers. As Britain struggled to use technology to retain its global power, the nation’s inability to manage its technical labor force hobbled its transition into the information age. In Programmed Inequality, Mar Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. That failure sprang from the government’s systematic neglect of its largest trained technical workforce simply because they were women. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, becoming male-identified in the 1960s and 1970s, labor problems grew into structural ones and gender discrimination caused the nation’s largest computer user—the civil service and sprawling public sector—to make decisions that were disastrous for the British computer industry and the nation as a whole. Drawing on recently opened government files, personal interviews, and the archives of major British computer companies, Programmed Inequality takes aim at the fiction of technological meritocracy. Hicks explains why, even today, possessing technical skill is not enough to ensure that women will rise to the top in science and technology fields. Programmed Inequality shows how the disappearance of women from the field had grave macroeconomic consequences for Britain, and why the United States risks repeating those errors in the twenty-first century.
New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.
The transformative effect of technological change on households and culture, seen from a macroeconomic perspective through simple economic models. In Evolving Households, Jeremy Greenwood argues that technological progress has had as significant an effect on households as it had on industry. Taking a macroeconomic perspective, Greenwood develops simple economic models to study such phenomena as the rise in married female labor force participation, changes in fertility rates, the decline in marriage, and increased longevity. These trends represent a dramatic transformation in everyday life, and they were made possible by advancements in technology. Greenwood also addresses how technological progress can cause social change. Greenwood shows, for example, how electricity and labor-saving appliances freed women from full-time household drudgery and enabled them to enter the labor market. He explains that fertility dropped when higher wages increased the opportunity cost of having children; he attributes the post–World War II baby boom to a combination of labor-saving household technology and advances in obstetrics and pediatrics. Marriage rates declined when single households became more economically feasible; people could be more discriminating in their choice of a mate. Technological progress also affects social and cultural norms. Innovation in contraception ushered in a sexual revolution. Labor-saving technological progress at home, together with mechanization in industry that led to an increase in the value of brain relative to brawn for jobs, fostered the advancement of women's rights in the workplace. Finally, Greenwood attributes increased longevity to advances in medical technology and rising living standards, and he examines healthcare spending, the development of new drugs, and the growing portion of life now spent in retirement.
Ensuring women's economic empowerment and access to and control over resources requires an integrated approach to growth and development, focused on gender-responsive employment promotion and informed by the interdependency between economic and social development. Social objectives need to be incorporated into economic policies. Economic growth strategies should give attention to the real economy and focus on creating a gender-sensitive macroeconomic environment, full employment and decent work, access to land, property and other productive resources as well as financial services, and full coverage of social protection measures. The Survey outlines a number of concrete recommendations in these critical areas, which if adopted, will facilitate women's equitable access to and control over economic and financial resources.
"This document is the eighth module in volume 1 of the teaching manual on trade and gender prepared by the United Nations Conference on Trade and Development (UNCTAD). The teaching manual has been developed with the aim of enhancing the capacity of policymakers, civil society organizations, and academics to assess the gender implications of trade flows and trade policy and to formulate gender-sensitive policies on gender and trade"--page 2.
Sri Lanka has shown remarkable persistence in low female labor force participation rates—at 36 percent from 2015 to 2017, compared with 75 percent for same-aged men—despite overall economic growth and poverty reduction over the past decade. The trend stands in contrast to the country’s achievements in human capital development that favor women, such as high levels of female education and low total fertility rates, as well as its status as an upper-middle-income country. This study intends to better understand the puzzle of women’s poor labor market outcomes in Sri Lanka. Using nationally representative secondary survey data—as well as primary qualitative and quantitative research—it tests three hypotheses that would explain gender gaps in labor market outcomes: (1) household roles and responsibilities, which fall disproportionately on women, and the associated sociophysical constraints on women’s mobility; (2) a human capital mismatch, whereby women are not acquiring the proper skills demanded by job markets; and (3) gender discrimination in job search, hiring, and promotion processes. Further, the analysis provides a comparison of women’s experience of the labor market between the years leading up to the end of Sri Lanka’s civil war (2006†“09) and the years following the civil war (2010†“15). The study recommends priority areas for addressing the multiple supply- and demand-side factors to improve women’s labor force participation rates and reduce other gender gaps in labor market outcomes. It also offers specific recommendations for improving women’s participation in the five private sector industries covered by the primary research: commercial agriculture, garments, tourism, information and communication technology, and tea estate work. The findings are intended to influence policy makers, educators, and employment program practitioners with a stake in helping Sri Lanka achieve its vision of inclusive and sustainable job creation and economic growth. The study also aims to contribute to the work of research institutions and civil society in identifying the most effective means of engaging more women— and their untapped potential for labor, innovation, and productivity—in Sri Lanka’s future.