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Although previous related studies illustrate several factors that reduce and eliminate ecological pollution, empirical evidence that examines the impact of banking development on footprint ecological quality is missed. This study explores the impact of banking development, renewable energy consumption, and economic growth on the ecological footprint of 27 OECD countries spanning data from 1990 to 2018. Using the method of moments quantile regression (MMQR), the results indicated that a 1% increase in banking expansion is projected to augment the ecological footprint in the OECD nations across all quantiles (first to ninth). Thus, the results affirm that banking development dampens ecological sustainability in the OECD nations. In contrast, the results indicate that renewable energy promotes ecological sustainability in the OECD nations across all quantiles (first to ninth). The empirical findings suggest that OECD policymakers should regard banking and economic development as a "green energy fostering mechanism" while designing policies to promote ecological friend energy sources. Moreover, as part of their core mandates, central banks, and regulatory authorities should promote financial innovation in the banking sector to mobilize the required capital to facilitate nature conservation and restoration. [ABSTRACT FROM AUTHOR]

This study investigates the role of the import diversification in the renewable energy consumption for a global panel of both developing and developed economies. The study applies panel co-integration and panel quantile regression analysis on the panel data of 138 countries during 1995–2018. For empirical analysis, the authors used Pedroni) cointegration test and panel-quantile regressions. The investigation proves that the import diversification significantly reduces the renewable energy consumption and there is a major need for designing and implementing some revised and synchronized policies of trade with the energy mix and sustainable development goals. The empirical findings claim that the foreign direct investments, natural resources and GDP increase significantly boost the renewable energy demand for both groups of developing and developed countries. Therefore, this study shows that generally the current trade policies might be ineffective and import diversification policies should be reformed to match with the energy regulations, manufacturing, and sustainable development goals. [ABSTRACT FROM AUTHOR]

Attaining sustainable development and cleaner production is a major challenge both for developed and developing economies; income, institutional regulations, institutional quality and international trade are the key determinants of environmental externalities. The current work attempts to study the role of environmental taxes and regulations on renewable energy generation for developed economies. For that, the authors have used the annual dataset for the period 1994 to 2018. More specifically, the study investigates the impacts of environmental taxes, environment-related technologies and the environmental policy stringency index on renewable electricity generation in 29 developed countries. Given the short available data of these countries, the authors have developed panel cointegration and panel regressions models (fully modified ordinary least square (FMOLS), quantile regressions). The heterogeneous panel empirics stated that environmental regulations and income level support renewable electricity generation. The conclusions further mention that bureaucratic qualities such as decision making and trade openness tend to reduce renewable energy generation. The empirical findings allowed us to draw new narrative and implications. Overall, the conclusions argue that innovative regulations and policies can be useful for attaining specific sustainable development goals (e.g., SDG-7: cleaner and cheap energy). [ABSTRACT FROM AUTHOR]

The rising carbon dioxide emissions from the MENA region constitute a severe danger to the environment, public health, and the execution of the United Nations SDGs. Substantial steps are required to solve this problem and maintain the region's sustainable future. Hence, the current study focused on distinct factors, including renewable energy, energy intensity, green innovation, GDP, and CO2 emissions from 1990 to 2021. The research determines the multifarious variables in various quantiles, including the novel Method of Moments Quantile Regression (MMQR) approach, Fully Modified Ordinary Least Square (FM-OLS), Dynamic Ordinary Least Square (D-OLS) and Driscoll-Kraay Standard Errors (DKS) applied. The findings reveal that renewable energy significantly reduces carbon emissions in all quantiles, while energy intensity, green innovation, and GDP lead to carbon emissions in lower, middle, and upper quantiles. For robust outcome confirmed by FM-OLS, D-OLS, and DKS methods. Also, Granger heterogeneous causality applied that confirmed the bidirectional causality among the variables. The study's findings imply that authorities should emphasize the emergence of renewable energy and green innovation while adopting energy-efficient technologies to minimize carbon emissions and accomplish SDGs 7, 9, and 13 to secure the MENA region. [ABSTRACT FROM AUTHOR]

The present study investigates the impact of economic growth, hydropower generation, and urbanization on Malaysia's CO2 emissions. This study applies Quantile Autoregressive Lagged (QARDL) technique for the period of 1965Q1 to 2018Q4. The Granger-causality in quantiles is applied to confirm the causal nexus among the modeled variables. The outcomes demonstrate that hydropower generation decreases the detrimental effects of CO2 emissions at the range of high quantile levels. Furthermore, urbanization, except for higher quantiles, exhibits negative impacts on CO2 emissions. Also, the QARDL coefficients confirm the presence of the Environmental Kuznets Curve hypothesis from median to higher quantiles. Besides, the Granger-causality test confirms the two-way causality among CO2 emissions and hydropower generation in Malaysia's economy and the same for the other series. The policymakers should enhance the market attractiveness of hydropower generation projects through incentives for the investors. [ABSTRACT FROM AUTHOR]

This study aims to examine the impact of coal energy consumption on the economic progress in Pakistan by using annual time series data during 1972–2019. Three-unit root tests were employed to rectify the variables' stationarity. The quantile regression approach with the extension of cointegration regression test was utilized to check the variables interaction with the economic progress. The outcomes of the quantile regression uncover that coal energy consumption in power sector and coal energy consumption in brick kilns have adverse influence to the economic progress, while total coal energy consumption has a productive association with the economic progress. Similarly, the findings of cointegration regression analysis uncover that via FMOLS (Fully Modified Least Squares) and DOLS (Dynamic Least Squares) that variables coal energy consumption in power sector and brick kilns have an adverse connection with the economic progress, while total coal energy consumption uncover a productive linkage to the economic progress in Pakistan. Pakistan is still facing a deep energy crisis because of the lack of energy production from cheap sources. New possible policies are required in this direction to improve the energy sector by paying more attention to the alternative energy sources to foster the economic progress. [ABSTRACT FROM AUTHOR]