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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.
Patrick A. Imam
and
Jonathan R. W. Temple
Previous research suggests that economy-wide poverty traps are rarely observed in the data. In this paper, we explore a related hypothesis: low-income countries rarely improve their position relative to the US. Using finite state Markov chains, we show that upwards mobility is indeed limited. Since capital-output ratios are similar across countries, and human capital is also converging, the persistence of low relative income seems to originate in the persistence of low relative TFP. We study the dynamics of relative TFP and how they interact with absolute levels of human capital, casting new light on the future of convergence.
Margaux MacDonald
and
Ian W.H. Parry
Large reductions in global emissions are needed for the world to be on track to meet global temperature goals. Asia-Pacific countries have a critical role in emissions reduction given their large and rising share in global emissions. This paper discusses the main opportunities and behavioral responses for reducing emissions, and commonly used mitigation instruments. It then considers key design issues for carbon pricing, with a focus on emissions trading schemes (ETS), describes measures to overcome the obstacles to carbon pricing, and discusses experiences with carbon pricing relevant for Asia-Pacific economies. Lastly, the paper covers complementary policy reforms, including reinforcing mitigation instruments, public investment, fuel tax reform, green industrial policies, and supporting reforms to the energy sector. Carbon pricing, including ETSs can be the centerpiece of climate mitigation strategies for most countries, particularly if ETSs are designed to mimic some of the administrative and economic attractions of carbon taxes and implemented appropriately.
Cristian Alonso
and
Margaux MacDonald
While India’s growth has been strong in recent decades, its structural transformation remains incomplete. In this paper, we first take stock of India’s growth to date. We find that economic activity has shifted from agriculture to services, but agriculture remains the predominant employer. Catch up to the technological frontier has been uneven, with limited progress in agriculture, but also in construction and trade, which have grown the most in terms of employment. We do find some Indian firms already operating at the technological frontier. These strong performers tend to be large firms. We then consider India’s employment challenge going forward. We find that India needs to create between 143-324 million jobs by 2050 and that doing so and with workers shifting towards more dynamic sectors could boost GDP growth by 0.2-0.5 percentage points. Structural reforms can help India create high-quality jobs and accelerate growth.
Mauro Cazzaniga
,
Florence Jaumotte
,
Longji Li
,
Giovanni Melina
,
Augustus J Panton
,
Carlo Pizzinelli
,
Emma J Rockall
, and
Marina Mendes Tavares
Artificial Intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Advanced economies will experience the benefits and pitfalls of AI sooner than emerging market and developing economies, largely due to their employment structure focused on cognitive-intensive roles. There are some consistent patterns concerning AI exposure, with women and college-educated individuals more exposed but also better poised to reap AI benefits, and older workers potentially less able to adapt to the new technology. Labor income inequality may increase if the complementarity between AI and high-income workers is strong, while capital returns will increase wealth inequality. However, if productivity gains are sufficiently large, income levels could surge for most workers. In this evolving landscape, advanced economies and more developed emerging markets need to focus on upgrading regulatory frameworks and supporting labor reallocation, while safeguarding those adversely affected. Emerging market and developing economies should prioritize developing digital infrastructure and digital skills
Vybhavi Balasundharam
,
Arika Kayastha
, and
Marcos Poplawski Ribeiro
This paper presents a new global dataset on current practices for four budget items in terms of indexation to the price level and other nominal variables. Compiling data from documents of select multilateral organizations, governments, and related literature as well as conducting a survey among IMF country desks of 190 country-members, we show how indexation is internationally applied in (i) personal income tax brackets; (ii) pensions; (iii) social assistance programs; and (iv) public wages. The dataset shows that while indexation policies vary significantly across economies, some trends can be identified. For example, indexation is more common on pension and social grants than on taxes, and falls with the degree of economic development. We further discuss some applications of this new dataset. Those include an accounting exercise illustrating the impacts of indexation on fiscal outcomes during episodes of inflation surprises; and an analysis of the association between the overall degree of indexation combining the four budget items and inflation persistence.
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.
Shinya Kotera
and
Ms. TengTeng Xu
This paper analyzes the drivers of India’s growth in the past five decades and considers baseline and upside scenarios of India’s medium-term potential growth. Using a production function approach, the paper assesses the impact of the pandemic on the key factors of production and therefore its impact on medium-term growth. Successful implementation of wide-ranging structural reforms could help support productivity and potential growth over the medium term.
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.

Abstract

South Asia’s Path to Resilient Growth highlights the remarkable development progress in South Asia and how the region can advance in the aftermath of the COVID-19 pandemic. Steps include a renewed push toward greater trade and financial openness, while responding proactively to the distributional impact and dislocation associated with this structural transformation. Promoting a green and digital recovery remains important. The book explores ways to accelerate the income convergence process in the region, leveraging on the still-large potential demographic dividend in most of the countries. These include greater economic diversification and export sophistication, trade and foreign direct investment liberalization and participation in global value chains amid shifting regional and global conditions, financial development, and investment in human capital.