Do circular economy, renewable energy, industrialization, and globalization influence environmental indicators in belt and road initiative countries?

This paper is the first comprehensive research to examine the effect of circular economy on environment employing two environmental degradation indicators (CO2 emissions, ecological footprint) and one environmental quality indicator (load capacity factor) for 57 Belt and Road Initiative (BRI) countries during 2000-2019. The effect of other variables such as renewable energy, industrialization, and globalization was also controlled. The study applied the cross-sectional autoregressive distributed lag method (CS-ARDL), the augmented mean group (AMG), and common correlated effects mean group (CCEMG) methods as a robustness checks. The empirical findings reveal that circular economy and renewable energy have pro-environmental effects by decreasing carbon emissions and ecological footprint and increasing the load capacity factor in BRI countries. However, industrialization and globalization have detrimental effects on the environment. The result of causality shows a bidirectional causality between renewable energy, circular economy, industrialization, and three environmental indicators, but the relationship of globalization with CO2 emissions and the load capacity factor is unidirectional and with the ecological footprint is bidirectional. All the results are confirmed by the robustness tests. The study suggests policy implications for the BRI government.

Investigating the determinants of carbon emissions in the USA: a state-level analysis.

The present study investigates the significant determinants of carbon emissions, namely, GDP, energy consumption, energy price, and energy expenditure, utilizing data of 50 American states from 2005 to 2016. Results obtained from application of OLS with fixed effects and panel quantile regression revealed that the effect of GDP on carbon emissions is negative but significant at all quantiles, energy consumption and energy price have a positive and significant effect on carbon emissions, while the effect of energy expenditure is negative but significant at the upper and lower quantiles, implying that high energy expenditures do not reduce carbon dioxide emission at the US state level. Policymakers should introduce further initiatives, so all the states would implement the climate legislations.

The role of renewable energy consumption on environmental degradation in EU countries: do institutional quality, technological innovation, and GDP matter?

In the face of climate change and environmental degradation, reducing emission of greenhouse gases has become a key factor for environmental sustainability. Therefore, the present research is intended to explore the roles of renewable energy consumption, institutional quality, technological innovation, and GDP on carbon dioxide emissions in the 14 EU countries. In doing so, this study employed novel method of moments quantile regression (MMQR) using annual data from 2000 to 2019. Also, a number of other estimators were applied for robustness check including the fully modified ordinary least square (FMOLS), the dynamic ordinary least squares (DOLS), and the fixed effect ordinary least square (FE-OLS). The empirical findings indicate that renewable energy consumption significantly reduces CO2 emissions across all quantiles (0.1-0.9). Furthermore, institutional quality and technological innovation improve environmental quality in 0.1-0.7 quantiles, although GDP enhances carbon emissions significantly in all quantiles. In addition, the FMOLS, DOLS, and FE-OLS results confirmed the MMQR results. The outcomes of this study suggest insights for the policymakers to mitigate carbon emissions through promoting innovative technologies for environmental protection and investing more in the development of renewable energy.

Analyzing the impact of energy consumption, the democratic process, and government service delivery on life expectancy: evidence from a global sample.

Life expectancy is one of the crucial criteria for determining the quality of life in today's societies. As such, the study of factors affecting life expectancy is a key issue for policymakers. This study aims to investigate the impact of energy consumption, the democratic process, and government service delivery on life expectancy in 100 countries during 2000-2018, using panel quantile regression. The impact of these factors on life expectancy has been estimated in quantiles of 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, and 0.95. Also, the impact of GDP, CO2 emission, and Gini coefficient variables has been explored as controlling variables on life expectancy. The results show that the impact of CO2 emissions and the democratic process on life expectancy is negative in all quantiles, and the impact of GDP is negative in all quantiles except 0.95. Moreover, the relationship between hydroelectricity consumption and life expectancy in the 0.05, 0.1, 0.2, 0.8, and 0.9 quantiles is negative and significant. Accordingly, based on the results, the impact of petroleum and other liquids consumption, government service delivery, and Gini coefficient on life expectancy in all quantiles is positive and only the impact of the Gini coefficient on life expectancy in all quantiles is significant.

Testing Porter and pollution haven hypothesis via economic variables and CO2 emissions: a cross-country review with panel quantile regression method.

Nowadays, determining the factors influencing carbon dioxide emissions is a crucial issue for policymakers. So, this study examines Porter and pollution haven's hypothesis via foreign direct investment, financial development, and energy consumption in 14 countries of the MENA region during 2004-2016, using panel quantile regression that estimated the impact of these factors in quantiles of 0.1, 0.25, 0.5, 0.75, and 0.9. Also, the effect of population, trade openness, and economic growth variables has been investigated as controlling variables on CO2 emissions. The results of the research show that the impact of energy consumption, economic growth, and total population on all quantiles of carbon dioxide emission is positive and significant. Still, the effect of direct foreign investment on the amount of CO2 emissions is negative and only significant at 0.1, 0.5, and 0.75 quantiles, which supports Porter's hypothesis. Based on this hypothesis, the foreign direct investment entrance helps reduce the environmental pollution of the host country. Also, the effect of financial development on 0.25, 0.5, 0.75, and 0.9 quantile carbon dioxide emissions is negative and significant. Finally, the trade openness variable has a positive and significant effect on the quantiles of 0.1 and 0.9 CO2 emissions.