This two-dimensional study makes significant incursions into the healthenvironment literature by interrogating whether non-renewable energy moderates the impact of environmental degradation on mortality rates. It further aligns with the 2030 United Nations Sustainable Development Goals and 11, which aim to ensure healthy lives and promote well-being for all at all ages and make cities and human settlements inclusive, safe, resilient and sustainable. It contributes to the health-environment literature by investigating the intrinsic relationships among mortality rates, carbon emissions (environmental degradation), and non-renewable energy consumption. The study uses an unbalanced sample of 42 Asia and Pacific countries to determine (1) whether carbon emissions exaggerate the incidence of mortality rates and (2) if the interaction of non-renewable energy with carbon emissions CAS Article Google Scholar

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This paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.

This paper investigates economic growth in 65 low and lower-middle-income countries from 2010 to 2017. Results from static and dynamic panel data techniques show that foreign direct investment (FDI), capital formation, and labor force significantly increase economic growth while government expenditure decreases growth. Mobile phone subscription reveals no significant impact on growth at aggregate levels. Furthermore, analyses at the income group level reveal substantial differences between the determinants of economic growth in low and lower-middle-income countries. For instance, FDI is a significant predictor of growth in low-income countries, but not in lower-middle-income countries. Similarly, government expenditure and mobile cellular subscriptions are not significant predictors in low-income countries relative to lower-middle-income countries. Interestingly, capital formation and labor force are the two common significant predictors across low and lower-income countries.

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