The Renewable Energy Consumption-Environmental Degradation Nexus in Top-10 Polluted Countries: Fresh Insights from Quantile-on-Quantile Regression Approach

Arshian Sharif (), Shekhar Mishra (), Avik Sinha, Zhilun Jiao, Muhammad Shahbaz and Sahar Afshan

MPRA Paper from University Library of Munich, Germany

Abstract: This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, quantiles of renewable energy consumption affect the quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.

Keywords: Renewable Energy; CO2 Emissions; Quantile-on-Quantile (QQ) Approach; Granger-Causality in Quantiles (search for similar items in EconPapers)
JEL-codes: Q5 (search for similar items in EconPapers)
Date: 2019-12-15, Revised 2020-01-01
New Economics Papers: this item is included in nep-cis, nep-ene, nep-env and nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (77)

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Journal Article: The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach (2020)
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