Impact of economic and green growth on poverty, income inequalities, and environmental degradation: a case of South Asian economies.

This study aims to investigate the impacts of traditional and green economic growth on poverty, income inequalities, and environmental degradation in the case of South Asian economies. In this regard, the study collects data for the period 2000 to 2018 from five South Asian economies (Pakistan, India, Sri Lanka, Nepal, and Bangladesh) from world development indicators (WDI). The study applies second-generation unit root test and co-integration technique, CIPS unit root and Westerlund co-integration tests, to establish the stationarity of the series and co-integration relationship among variables. Furthermore, this study utilized dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) models to investigate the long-run empirical estimates. The study finds that both traditional economic growth (GDP) and green economic growth (GGDP) have a negative impact on poverty and inequality; however, GGDP contributes more than traditional GDP to reducing poverty and inequality. Moreover, the study shows that economic growth has a positive long-run impact on environmental degradation while GGDP has a negative and significant long-run association with environmental degradation. The study recommends that policymakers should develop policies to develop green economic growth to save the environment and for the reduction in poverty and income inequalities in south Asian economies.

Investigation of Socioeconomic Determinants on Child Death in South Asian Countries: A Panel Cointegration Analysis.

This article is aimed to examine the relationship between socioeconomic factors and child mortality in South Asia because the relationship between child mortality and socioeconomic factors cannot be overlooked for better progress. Panel data were obtained from (World Development Indicators) and (Human Development Index) for the period 1990-2017. The data were quantitative. Levin, Lin, and Chu and I'm, Pesaran, and Shin test were used to check the stationarity of data. A cointegration test was applied to check the long-run association. Granger causality test was used to determine the direction of the relationship. Fully modified ordinary least squares and dynamic ordinary least squares techniques were used to examine the long-run and short-run impact of socioeconomic determinants on child mortality. The findings from this study showed the significant impact of education, unemployment, and health expenditure, access to improved water and sanitation facilities, and income inequality on child mortality. Overall results showed that there is a negative association between education and child mortality, access to improved water and access to sanitation facilities and child mortality, and health expenditure and child mortality, but there is a positive association between unemployment and income inequality with child mortality. The rate of child mortality is still very alarming in South Asian countries.

Analysis of environmental degradation mechanism in the nexus among energy consumption and poverty in Pakistan.

The study aims to analyze the mediating role of environmental degradation (ED) in the association between energy consumption (EC) and poverty (POV) in Pakistan. For this purpose, data are collected from different sources such as the global economy and World Bank ranging from 1985 to 2017. Augmented Dickey-Fuller (ADF) test is used for testing the stationarity of data. Results of ADF depict that data are stationary at the level and first difference; so this study adopts the autoregressive distributive lag (ARDL) model bound test for analyzing the long-run and short-run relationship among the modeled variables. The study follows the steps of Baron and Kenny's (1986) method to test the mediation of environmental degradation between energy consumption and poverty. The study utilized the Sobel test and VAF to confirm the mediation. The results indicate a negative and significant impact of energy consumption on poverty. The findings revealed that ED partially mediates the long-run relationship between EC and POV. The study suggests that the government makes the energy accessible to the people to fulfill their basic needs which ultimately reduces poverty. Moreover, the government should make policies to improve the environment as the study found that environmental degradation significantly contributes to poverty.