Industrial growth, clean energy generation, and pollution: evidence from top ten industrial countries

被引:0
作者
Montassar Kahia
Mehdi Ben Jebli
机构
[1] Qassim University,Department of Finance and Economics, College of Business and Economics
[2] University of Tunis El Manar,LAREQUAD & FSEGT
[3] University of Jendouba,FSJEG of Jendouba
[4] Campus University of Manouba,QUARG UR17ES26, ESCT
来源
Environmental Science and Pollution Research | 2021年 / 28卷
关键词
CO; emissions; Clean energy; Industrial growth; Cointegration; C23; F64; P28 ; Q56;
D O I
暂无
中图分类号
学科分类号
摘要
Unlike the previous study, this paper employs panel cointegration and Granger causation approaches to discuss the associations among carbon dioxide (CO2) emissions, GDP growth, clean energy generation, and industrial growth for the top ten industrial countries spanning the period 1980-2014. The primary empirical outcomes show a two-way long-run association between environmental indicator, GDP growth, and clean energy generation, while one short-run causation from clean energy generation to CO2 emissions and from industrial growth to clean energy generation. The computed coefficients elasticity’s under FMOLS, DOLS, and CCR estimates revealed that the clean energy generation statistically contributes to declining emissions of CO2 in Australia, Austria, and Chile while statistically increase emissions of CO2 in Denmark and the Netherlands. Industrial growth statistically contributes to reducing emissions of CO2 in Denmark and Norway but increases emissions in Chile, France, and Sweden. For the global panel, industrial growth leads to mitigate the rate of emissions while clean energy generation raises CO2 emissions in the long period. Investing in clean energy is needed to stimulate the growth of the industrial sector and then reduce the rate of emissions.
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页码:68407 / 68416
页数:9
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