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Asia and Pacific > India

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Cover IMF Working Papers
Intimate Partner Violence and Women’s Economic Empowerment: Evidence from Indian States
Monique Newiak
,
Ratna Sahay
, and
Navya Srivastava
Domestic violence is a global phenomenon. We study the interplay of determinants of a woman’s risk of facing intimate partner violence (IPV) for the case of India—using information from up to 235 thousand female survey respondents and exploiting state-level variation in institutions, law enforcement and attitudes. Unless in paid and formal employment, a woman’s economic activity is associated with a higher risk of IPV. However, household and other characteristics, such as higher agency within the household, higher education of the husband, lower social acceptance of IPV, and normalization of reporting incidences of violence counter this association. At the state level, the presence of more female leaders, better reporting infrastructure for victims of IPV, and higher charge-sheeting rates are associated with a lower risk of IPV.
Keywords:
Female employment; labor force participation; intimate partner violence; legal rights; institutions; employment Mitigate IPV; Annex II; empowerment evidence; IPV risk; respondent characteristic; survey respondent; Women; Employment; Gender diversity; Global
Cover IMF Working Papers
Exploring the Role of Public Expenditure in Advancing Female Economic Empowerment and Gender Equality
Charla Britt
and
Danielle Egerer
This paper discusses connections between female economic empowerment and government spending. It is an abbreviated overview for non-gender-experts on how fiscal expenditure may support female economic empowerment as an interim step toward advancing gender equality. From this perspective, it offers a preliminary exploration of key factors and indicators associated with gender-differentiated impacts in each of five main categories of public spending (education, health, capital expenditure, government employment and compensation, and social protection and labor market programs). It examines and proposes indices within each category that can be used to identify and measure related gender gaps and suggests associations and connections between those indices, public spending, and other available proxy measurements with some benchmarking potential which is summarized at the end of each category in a Gender Lens Matrix for ease of reference. The paper draws on an extensive literature review and examination of publicly available datasets. It also highlights and discusses gaps in data which limit gender analysis. The purpose of the paper is to advance dialogue on the adoption of a gendered approach to government spending, by providing a gender lens that may assist country level assessments and discussions among IMF staff and member country authorites.
Keywords:
Women’s economic empowerment; gender equality; gender analysis; gender gaps; fiscal expenditure; government spending; youth literacy Gender Parity Index; labor market program; IMF working paper No. 24/108; IMF's expenditure assessment tool; maternity leave; Women; Gender inequality; Sub-Saharan Africa; Global; Caribbean; South Asia; Asia and Pacific
Cover IMF Working Papers
Labor Market Exposure to AI: Cross-country Differences and Distributional Implications
Carlo Pizzinelli
,
Augustus J Panton
,
Ms. Marina Mendes Tavares
,
Mauro Cazzaniga
, and
Longji Li
This paper examines the impact of Artificial Intelligence (AI) on labor markets in both Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a standard measure of AI exposure, accounting for AI's potential as either a complement or a substitute for labor, where complementarity reflects lower risks of job displacement. We analyze worker-level microdata from 2 AEs (US and UK) and 4 EMs (Brazil, Colombia, India, and South Africa), revealing substantial variations in unadjusted AI exposure across countries. AEs face higher exposure than EMs due to a higher employment share in professional and managerial occupations. However, when accounting for potential complementarity, differences in exposure across countries are more muted. Within countries, common patterns emerge in AEs and EMs. Women and highly educated workers face greater occupational exposure to AI, at both high and low complementarity. Workers in the upper tail of the earnings distribution are more likely to be in occupations with high exposure but also high potential complementarity.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; impact of artificial intelligence; exposure to AI; labor market exposure; employment share; educated worker; Labor markets
Cover IMF Working Papers
Will Working from Home Stick in Developing Economies?
Mrs. Marina Conesa Martinez
,
Mr. Futoshi Narita
, and
Mr. Chris Papageorgiou
In developing economies, a shift to working from home during the COVID-19 pandemic varies substantially. An increase in teleworking days per week ranges from 0.7 to 17.6 percentage points across 10 developing countries covered by an online survey to about 500 respondents per country. An estimated income discount associated with telework disappeared temporarily at the onset of the pandemic. A calibrated model indicates that workers’ preferences to telework may largely depend on their educational attainments. Whether telework will sustain in these countries could depend on obstacles to telework, particularly for workers with less education, and a degree of economy-wide externality.
Keywords:
Telework share; income discount; Telework situation; employment status; income earner; COVID-19; Income; Global
Cover IMF Working Papers
Determinants and Social Dividends of Digital Adoption
Utkarsh Kumar
,
David Amaglobeli
, and
Mariano Moszoro
We identify key drivers of digital adoption, estimate fiscal costs to provide internet subsidies to households, and calculate social dividends from digital adoption. Using cross-country panel regressions and machine learning, we find that digital infrastructure coverage, internet price, and usability are the most statistically robust predictors of internet use in the short run. Based on estimates from a model of demand for internet, we find that demand is most price responsive in low-income developing countries and almost unresponsive in advanced economies. We estimate that moving low-income developing and emerging market economies to the levels of digital adoption in emerging and advanced economies, respectively, will require annual targeted subsidies of 1.8 and 0.05 percent of GDP, respectively. To aid with subsidy targeting, we use microdata from over 150 countries and document a digital divide by gender, socio-economic status, and demographics. Finally, we find substantial aggregate and distributional gains from digital adoption for education quality, time spent doing unpaid work, and labor force participation by gender.
Keywords:
Social Dividends; Digitalization; GovTech; Internet use; internet price; Internet adoption; Internet coverage; internet use; Labor force participation; Income; Women; Purchasing power parity; Sub-Saharan Africa
Cover IMF Working Papers
Public Expenditure and Inclusive Growth - A Survey
Mr. Younes Zouhar
,
Jon Jellema
,
Nora Lustig
, and
Mohamed Trabelsi
This paper explores the role of public expenditure in fostering inclusive growth. It starts with a presentation of salient features of public expenditure. Then, it lays out an analytical framework that describes the channels through which public expenditure affects inequality and poverty in the short and long term. Based on a review of the empirical literature, it discusses the policy options. Finally, the paper assesses the role of key factors such as the initial conditions, and the institutions, in shaping the inclusive spending policies.
Keywords:
public expenditure; social spending; inclusive growth; inequality; poverty; mean inequality impact effectiveness; poverty rate; spending policy; policy option; Income inequality; Income; Global; Africa
Cover IMF Working Papers
Education and Health for Inclusiveness
Mr. Nikola Spatafora
We discuss existing shortfalls and inequalities in the accumulation of human capital—knowledge, skills, and health. We analyze their immediate and systemic causes, and assess the scope for public intervention. The broad policy goals should be to improve: the quality, and not just the quantity, of education and health care; outcomes for disadvantaged groups; and lifelong outcomes. The means to achieve these goals, while maximizing value for money, include: focusing on results rather than just inputs; moving from piecemeal interventions to systemic reform; and adopting a “whole-of-society” approach. Reforms must be underpinned by a robust evidence base.
Keywords:
Inclusive Growth.; WP; primary care; transfer program; basic education; health outcome; complement teacher training; computer-assisted learning; good health; secondary education; Education; Health; Inclusive Growth; Human capital; Health care; Labor force; Global
Cover IMF Working Papers
Gender Equality and Inclusive Growth
Asel Isakova
and
Francesco Luna
This paper considers various dimensions and sources of gender inequality and presents policies and best practices to address these. With women accounting for fifty percent of the global population, inclusive growth can only be achieved if it promotes gender equality. Despite recent progress, gender gaps remain across all stages of life, including before birth, and negatively impact health, education, and economic outcomes for women. The roadmap to gender equality has to rely on legal framework reforms, policies to promote equal access, and efforts to tackle entrenched social norms. These need to be set in the context of arising new trends such as digitalization, climate change, as well as shocks such as pandemics.
Keywords:
gender gap; inequality; wage gap; wage segregation; gender discrimination; active labor market policies; gender budgeting; GGGI: Global Gender Gap Index; inclusive growth; WP; fiscal policy; parental leave; justice system; gender earnings gap; age-employment profile; commonwealth country; earnings gap; job portal; Women; Gender inequality; Global; South Asia; Sub-Saharan Africa; West Africa; Central Asia
Cover IMF Staff Country Reports
Nigeria: Technical Assistance Report-Additional Spending Toward Sustainable Development Goals
International Monetary Fund. Fiscal Affairs Dept.
The contents of this report constitute technical advice provided by the staff of the IMF to the authorities of Nigeria in response to their request for technical assistance. Unlocking the potential of a rapidly growing population requires substantial improvements in human and physical capital. Nigeria is Africa’s most populous country and its largest economy. Recognizing challenges, Nigeria has embraced the Sustainable Development Goals (SDGs) Agenda. The Economic Recovery and Growth Plan 2017–2020 gives prominence to economic, social and environmental issues. This report assesses additional spending associated with making substantial progress along the SDGs. The report focuses on critical areas of human and physical capital. For each sector, the report documents progress to date, assesses Nigeria relative to peers, highlights challenges, and estimates the spending to make substantial SDG progress. Nigeria has shown gradual improvements in education. A gradual and strategic approach should be considered given the relatively large additional spending.
Keywords:
ISCR; CR; Nigeria; authority; IMF staff calculation; road density; insurance system; electricity consumption; Purchased Power Parity dollar; healthcare system; Public expenditure review; Health care spending; Africa; Global; Sustainable Development Goals (SDG)
Cover IMF Working Papers
Automation, Skills and the Future of Work: What do Workers Think?
Mr. Carlos Mulas-Granados
,
Mr. Richard Varghese
,
Vizhdan Boranova
,
Alice deChalendar
, and
Judith Wallenstein
We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that negative perceptions about automation are prevalent among workers who are older, poorer, more exposed to job volatility, and from countries with higher levels of robot penetration. Perceptions over automation are positively viewed by workers with higher levels of job satisfaction, higher educational attainment, and from countries with stronger labor protection. Workers with positive perceptions of automation also tend to respond that re-education and retraining will be needed to adapt to rapidly evolving skill demands. These workers expect governments to have a role in shaping the future of work through protection of labor and new forms of social benefits. The demand for protection and benefits is more significant among women and workers that have suffered job volatility.
Keywords:
WP; worker; Automation; Future of Work; Robotization; Education; Reskilling; Retraining; more-on-the job training; employment characteristic; job happiness; middle-age worker; Emerging technologies; Labor markets; Europe; Africa; Global