The improved food security in Asia that has facilitated the region’s development progress depends on nitrogenous fertilizers. Rising prices and shortages of imported fertilizer have prompted countries to explore alternative sources of crop nitrogen, including diversification with legumes. We evaluate an intervention in Nepal that promoted mungbean adoption. Our doubly robust impact evaluation approach accounts for nonrandom patterns of adoption related to livestock rearing, participation in agricultural cooperatives and training, and greater irrigated land use. Adopters growing mungbean for the 2-year study period showed an average increase of 20 kilograms (kg) in their annual consumption of mungbean-based foods, applied almost 40[Formula: see text]kg per hectare (ha) less fertilizers to their rice crops, and obtained an additional 280[Formula: see text]kg in rice yield per ha. Hence, agricultural innovations that use legumes such as mungbean can help promote sustainable intensification of cereal-based production systems, while enhancing food security and reducing balance-of-payments issues for the countries dependent on fertilizer imports.

This paper demonstrates how the estimation of economic activities and inequality for the Indian economy based on nighttime lights data from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite outperforms those obtained using traditional Defense Meteorological Satellite Program Operational Line-Scan System (DMSP-OLS) sources. In the extant literature, nighttime lights data have been frequently used as a proxy for economic activities, especially at granular geographical levels where gross domestic product data are otherwise unavailable. Since the traditional DMSP-OLS-based nighttime lights data suffer from measurement errors due to blurring and top coding, VIIRS-based nighttime lights data, which are devoid of such limitations, are gaining popularity. We show that at the subnational or district level in India, VIIRS satellite-based nighttime lights data are indeed a better proxy for economic activities and inequality. Our robust findings imply that all future scholarly works that employ nighttime lights data for the Indian economy should use VIIRS-based data for greater accuracy compared to other similar data sources.

During international negotiations for the Rio Earth Summit of 1992, coalitions made up of countries from the Global South took shape, only to break up gradually over time. The climate positions of two leading emerging powers, the People’s Republic of China and India, have increasingly drifted apart from each other since 2010. This paper seeks to account for this drift by relying on structural factors. The analytical framework proposed here relies on three structural determinants of development: factor endowments, sector specialization, and labor surplus absorption potential. These determinants are complemented by a carbon variable to account for sustainability. This framework reveals a triangle of incompatibility between development, labor surplus absorption, and sustainability that highlights how the People’s Republic of China now has sufficient leeway to engage in more ambitious sustainable policies, while India still faces the mutual incompatibility of either pushing forward with economic development or committing to a sustainable agenda.

This study uses data from 1986 to 2021 and the auto-regressive distributed lag model to explore India’s fiscal policy determinants of government health spending. The results find two structural breaks in time: (i) 2002 for state government health spending (SGHS) and (ii) 2014 for central government health spending. The results also show that central revenue transfers to states have a positive and statistically significant effect on SGHS in the long run. The results imply that a 1% rise in central revenue transfers to states leads to a 0.399% increase in SGHS. Further, state government public debt exhibits a negative and statistically significant relationship with SGHS, implying that a 1% rise in public debt leads to a 0.119% fall in SGHS in the long run. Fiscal management (i.e., revenue mobilization and debt sustainability) is essential to prepare a long-term strategy for health-care financing.

The role of social capital in economic development has been a subject of interest to both academics and practitioners of development for several decades. However, empirical evidence on social capital in the context of developing countries is still relatively scant. This study explores the effects of social capital on economic development in Indonesia, a large and multi-ethnic developing country. Using district-level data for 2006–2019, we find that the relationships between social capital and economic development are complex. There are both favorable and unfavorable effects of social capital on economic development, as well as nonlinear effects. Hence, we cannot draw unequivocal conclusions on the benefits or disadvantages of social capital for economic development. Nevertheless, this study finds that trust among people across different ethnic groups, participation in communal works and social activities, and trust in government are the most important forms of social capital needed to improve people’s welfare.