Abstract
Using the annual data from 1983 to 2016, the study attempted to explore the role of globalization and financial development on life expectancy in South Asian countries, at the presence of economic growth and pollution. The study employed the panel quantile regression (median) technique that could provide reliable results in the presence of heteroskedasticity and cross-section dependence in residuals, while pooled OLS, fixed effect and random effect models were not. Estimated results confirm that the model is correctly specified, and there is no asymmetry in quantiles. This study has found a significant positive impact for economic growth, globalization, and financial development, and a significant negative impact for environmental pollution on life expectancy in the study countries. So, policymakers have to promote globalization and financial development to improve the population’s health status, besides controlling environmental pollution.
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More From: Zenodo (CERN European Organization for Nuclear Research)
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