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印度环境质量的决定因素:基于结构断点的自举 ARDL 模型的证据。

Determinants of environmental quality in India: evidence using the bootstrapped ARDL model with structural breaks.

机构信息

School of Business and Economics, North South University, Dhaka-1229, Bangladesh.

Esai Business School, Universidad Espíritu Santo, Samborondon, 091650, Ecuador.

出版信息

Environ Sci Pollut Res Int. 2023 May;30(23):64651-64661. doi: 10.1007/s11356-023-26870-0. Epub 2023 Apr 18.

DOI:10.1007/s11356-023-26870-0
PMID:37069375
Abstract

This current study examines the impact of renewable energy consumption, agriculture, and globalization on carbon emissions in India over the period from 1980 to 2018. For long-run estimates, we apply Gregory-Hansen's co-integration test, bootstrap ARDL approaches, fully modified ordinary least squares, and dynamic OLS. The empirical results of long-run estimates indicate that a 1% increase in renewable energy consumption, agriculture, and economic globalization will increase carbon emissions by 0.764%, 1.675%, and 0.517%, respectively. Moreover, this study confirms the detrimental effect of these variables on carbon dioxide emissions. Economic globalization coefficients indicate that the scale effect is valid in India. The 2002 economic crisis slowed down the country's growth rate, which reduced the ecological pollution. Several policy recommendations are derived from the empirical findings.

摘要

本研究考察了 1980 年至 2018 年期间,可再生能源消费、农业和全球化对印度碳排放的影响。对于长期估计,我们应用了 Gregory-Hansen 的协整检验、 bootstrap ARDL 方法、完全修正最小二乘法和动态 OLS。长期估计的实证结果表明,可再生能源消费、农业和经济全球化每增加 1%,将分别使碳排放增加 0.764%、1.675%和 0.517%。此外,本研究证实了这些变量对二氧化碳排放的不利影响。经济全球化系数表明,规模效应在印度是有效的。2002 年的经济危机减缓了该国的经济增长率,从而减少了生态污染。从实证结果中得出了一些政策建议。

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