Asia and Pacific > India

You are looking at 1 - 10 of 253 items for :

  • Type: Journal Issue x
Clear All Modify Search
International Monetary Fund. Monetary and Capital Markets Department
India’s financial system has withstood the pandemic well and has become more resilient since the 2017 FSAP. Nonbank financial institutions (NBFIs)—especially nonbank financial companies (NBFCs) providing credit with wholesale financing—and market financing have grown, making the financial system more diverse and interconnected. The role of the state has diminished, yet it remains significant, including in using the financial system to pursue social and public finance goals.
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.
Marco Gross
and
Wei Sun
This report provides a brief summary of the purpose and findings of a technical assistance (TA) mission that was intended to review and evaluate the Reserve Bank of India (RBI)’s stress test model suite, which took place in April 2023. The RBI’s model suite was found to be strong and well developed in numerous respects. The most noteworthy recommendations pertain to credit risk, market risk, and macro-financial scenario design. A detailed list of 28 recommendations spanning all areas was left with the RBI. A detailed TA report accompanies this brief summary report.
International Monetary Fund. Monetary and Capital Markets Department
This report summarizes the content and findings of a technical assistance (TA) mission that was reviewing and evaluating the Reserve Bank of India (RBI)’s stress test model suite. The RBI’s model suite was found to be strong and well developed in numerous respects. The most noteworthy recommendations pertain to credit risk, market risk, and macro-financial scenario design. A detailed list of recommendations spanning all areas was left with the RBI.
Xavier Lavayssière
and
Nicolas Zhang
Programmability in payment and settlement has yet to realize its potential to support policy goals such as efficiency, safety, and innovation. This paper proposes a comprehensive framework for understanding and evaluating programmability. It explores two key dimensions: external programmatic access, which is the ability for external participants to access the system data and functions with code, and internal programmatic capabilities, the extent to which internal execution of programs is supported and guaranteed. By developing strategies based on these dimensions, financial institutions, regulators, and related actors can better improve resilience, reduce costs and interoperability, all while managing associated risks. The resulting hybrid systems are coordinated efforts balancing the advantages of permissionless blockchains, such as composability, with regulatory requirements and a wider range of technologies. The paper describes these programmatic models to inform and guide the development of digital finance, bridging policy discussions with technical considerations.
Corinne C Delechat
,
Giovanni Melina
,
Monique Newiak
,
Chris Papageorgiou
,
Ke Wang
, and
Nikola Spatafora
This paper examines the significance and impact of broad-based and industrial policies on economic diversification in developing economies, supported by a literature reviews, case studies, and IMF analyses. Economic diversification entails shifting from traditional sectors, like agriculture and mining, to a variety of high-quality services and sectors. This transition is crucial for adapting to global market fluctuations and promoting sustainable growth and improved living standards. A literature review, including many IMF contributions, reveals a strong correlation between economic diversification and improved macroeconomic performance in developing countries, such as faster economic growth and higher incomes per capita. Factors influencing economic diversification include macroeconomic stability, infrastructure quality, workforce skills, credit access, regulatory environment, and income equality. Six case studies highlight the experiences of Costa Rica, Gabon, Georgia, India, Senegal, and Vietnam, demonstrating that successful diversification strategies require a long-term commitment and effective broad-based policies. Industrial policies can support diversification by addressing market failures, but they must be well-designed and effectively implemented. Common lessons include the necessity of maintaining macroeconomic stability, investing in human capital, and fostering competition. Sector-specific mechanisms like Special Economic Zones should be used cautiously, emphasizing underlying bottlenecks and minimizing fiscal costs. Country-specific insights include Costa Rica's strategic policy shift towards export orientation, Gabon's reduced dependence on oil, Georgia's market-friendly policies, India's skilled labor and software clusters, Senegal's infrastructure and business environment improvements, and Vietnam's transition from an agrarian to an industrial economy. The IMF's engagement in diversification emphasizes improving human capital, infrastructure, reducing trade barriers, and promoting international trade integration. Policymakers, researchers, and international organizations increasingly recognize the importance of economic diversification for resilient, sustainable, and inclusive growth, requiring nuanced policy interventions tailored to each country's context and capabilities.
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.
Jorge A Chan-Lau
,
Ruofei Hu
,
Luca Mungo
,
Ritong Qu
,
Weining Xin
, and
Cheng Zhong
We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency, market-based, aggregate distress signals with low-frequency, firm-level financial ratios, and macroeconomic indicators. When provided with private firms' financial ratios, the model, which we name signal-knowledge transfer learning model (SKTL), transfers insights gained from 35 thousand publicly-traded firms to more than 4 million private-held ones and performs well as an ordinal measure of privately-held firms' default risk.
Jiaxiong Yao
This paper develops a new approach to estimating the degree of informality in an economy. It combines direct yet infrequent measures of the informal economy in micro data with an augmented factor model that links macro indicators of the informal economy to its causes. We show that the prevailing model used in the literature, the multiple indicators multiple causes model, is a special case of the augmented factor model and depicts an incomplete picture of the informal economy. Using the augmented factor model approach, we show that the dynamics of the informal economy is shaped by the strength of overall economic activity as well as the interplay between the formal and informal economies. Contrary to previous work that typically finds declining informality for most countries, we find that the degree of informality has increased for low-income countries for the past two decades.
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.