Export Dynamics and Income Inequality: New Evidence on Export Quality.

Previous literature has highlighted the relationship between export diversification and income inequality. The present study attempts to explore the influence of export quality on income inequality. A global sample of 92 economies consisting of 30 low- and lower-middle-income economies (LMEs), 21 upper-middle-income economies (UMEs), and 41 high-income economies (HIEs) over the period 2002-2014, is collected to create a balanced set of panel data. Using econometric techniques for balanced panel data to deal with cross-sectional dependence, heteroscedasticity, and endogeneity, we first find that the effect of export quality is negative and significant on the Gini index pre-tax and pre-transfer in LMEs and UMEs, implying that export quality reduces income inequality. Second, export quality has a positive and significant impact on income inequality in HIEs. Our findings imply that different economic policies should be considered for dealing with income inequality among different income groups of economies.

The energy consumption: the global contributions from financial development and institutions.

In a context of climate change and global warming, the literature paid more and more attention to the determinants of energy consumption. This article aims at examining the influences of the financial development and the institutional quality on the energy consumption in a global sample of 112 countries between 2002 and 2014. Our analysis is based on dynamic two-step system GMM estimations for three different energy consumption indicators-our findings are interesting. First, the financial development induces a higher energy consumption per capita; a higher energy consumption per output, and a lower renewable energy consumption. Second, the institutions have an insignificant positive influence on the energy use per capita and the energy use per output. Third, and this is our major contribution, the institutional quality can actually reverse the effect of the financial development. In other words, the effect of financial development on the energy use per capita is positive in weak institutional environment but it is negative when the latter is well developed. This article discusses these finding and their implications.

The 'vicious cycle' of energy poverty and productivity: insights from 45 developing countries.

This study is the first proper attempt to examine the influence of energy poverty on productivity. Specifically, the study investigates the effects on the level and convergence of total factor productivity of no access to clean fuels and technologies for cooking; no access to electricity in the total population; no access to electricity in the rural population; no access to electricity in the urban population; non-renewable electricity production; and non-renewable electricity consumption. The study examines a global sample of 45 developing countries from 2002 to 2017 and offers three empirical analysis findings. First, the mutual causalities between the five dimensions of energy poverty and total factor productivity are shown by a non-Granger causality test for panel data, except one-direction causality from no access to clean fuels and technologies for cooking to total factor productivity convergence, which hints a 'vicious cycle' of two variables. Second, the two-step system generalised method of moments estimates show significant negative impacts of no access to clean fuels and technologies for cooking and the three variables of no access to electricity on total factor productivity. In contrast, the production and consumption of non-renewable electricity appear to have significant positive effects. Third, the three-stage least squares estimates provide statistical evidence that the effects of energy poverty on total factor productivity are transmitted through human capital accumulation, Internet usage, and the shadow economy.

Financial development and energy poverty: global evidence.

This study aims to shed light on the determinants of energy poverty by examining the role of financial development. Notably, the study analyses the multidimensional effects of financial development (including two subsectors and three dimensions on five indicators of energy poverty). Various estimates are applied with a global sample of 65 economies, consisting of 36 low- and lower-middle-income economies and 29 upper-middle-income economies for 2002-2015. First, financial development can alleviate energy poverty. Second, the results are properly consistent across the two subsectors and three dimensions. Third, the two subsectors and three dimensions of financial development are found to reduce energy poverty in low- and lower-middle-income economies but have heteroscedastic effects in upper-middle-income economies.