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The present study empirically investigates the long-run causal relationship between foreign capital and economic development in India by using the annual time-series data from 1990–1991 to 2013–2014. The study uses some selected macroeconomic variables such as per capita government expenditure on education (PcGEE, as an indicator of economic development), gross domestic product (GDP, as an indicator of economic growth), gross capital formation (GCF, as an indicator of domestic investment), official development assistance (ODA, as an indicator of foreign official inflows) and foreign direct investment (FDI, as an indicator of foreign private investment) for its empirical analysis. By using the cointegration test and the vector vector-error correction model (VECM) technique, this study finds that in the long run, domestic investment has shown a significant and positive impact on economic development, whereas, ODA, FDI and GDP have shown a significant negative impact on it. It concludes that domestic investment, foreign capital along with economic growth have a significant impact on economic development in India in long run. It suggests that the national developmental policy of India should focus on the productive utilization of both domestic and foreign capital along with it should give emphasis on effective transformation of growth benefits towards development process.

This study aims to empirically investigate the short-term and long-term effects of healthcare expenditure, institutional quality and domestic and foreign investments on the economic growth of South Asian countries during the period 1996–2018. The pooled ordinary least squares (OLS) and random effects models, Johansen–Fisher cointegration test and Granger causality test have been employed to assess the short-term and long-term relationships and the direction of causality among the variables. The cointegration tests indicate the existence of a long-term equilibrium among the variables. The results reveal that there runs a bidirectional causality from health expenditure to economic growth in the concerned countries in the short run. Further, institutional quality is seen to have a unidirectional effect on health expenditure. Therefore, the authorities of the South Asian nations are required to strengthen the accessibility to and affordability and accountability of the healthcare services being provided to their population.

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This study explores the effects of demographic, socioeconomic , and public-response factors on the incidence of new COVID-19 cases for the 10 countries with the greatest number of confirmed cases. Results show that demographic factors and government policies are significant determinants of COVID-19. Socioeconomic factors, such as GDP per-capita and the human development index, appear statistically insignificant. The findings are important for policymakers in their efforts to reduce the number of new cases.

We examine the interrelationship among foreign aid, foreign direct investment (FDI) and economic growth in South-East Asia (SEA) and South Asia (SA) during 1980–2016. The findings from alternative empirical estimations suggest that while foreign aid is negatively associated with FDI as well as growth, FDI positively influences growth. Further, governmental financial assistance to private sector for domestic investment turns out to be important in all empirical estimations insofar as positively associated with FDI flows as well as growth. We, therefore, infer that low-income SEA and SA economies should focus on channelizing governmental financial assistance to private sector for domestic investment, macroeconomic stabilization, trade openness, and efficient utilization of aid flows, in order to attract, absorb and reap the benefits of complementing FDI flows and sustaining higher economic growth.

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