Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Sustainable development remains unattainable unless we move to reduce the negative impact of economic factors on environmental quality. It is noteworthy to provide new evidence on whether and how the empirical association between export diversification, agricultural value-addition, renewable energy,...

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Autores principales:	Mubeen Abdur Rehman, Zeeshan Fareed, Sultan Salem, Asma Kanwal, Ugur Korkut Pata
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	GHG emissions export diversification agriculture renewable energy regulatory quality MMQR Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1c352f4eaf964f73b7d1f46f5b4e7485
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spelling	oai:doaj.org-article:1c352f4eaf964f73b7d1f46f5b4e74852021-11-09T10:09:40ZDo Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression2296-665X10.3389/fenvs.2021.781097https://doaj.org/article/1c352f4eaf964f73b7d1f46f5b4e74852021-10-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenvs.2021.781097/fullhttps://doaj.org/toc/2296-665XSustainable development remains unattainable unless we move to reduce the negative impact of economic factors on environmental quality. It is noteworthy to provide new evidence on whether and how the empirical association between export diversification, agricultural value-addition, renewable energy, and regulatory quality with greenhouse gas (GHG) emissions evolved in Asian countries from 1996 to 2014. The study examines the relationships between these variables using current panel data techniques. The econometric procedure includes second-generation cointegration and unit root tests together with a novel Method of Movements Quantile Regression (MMQR). This approach offers an asymmetric relationship between the variables and is very robust to outliers compared to traditional quantile regression. The empirical outcomes show that export diversification, renewable energy, and regulatory quality are significantly and negatively associated with GHG emissions. In contrast, agricultural value-added in Asia has become a source of increased GHG emissions. Our findings are also robust with alternate specifications, including fully modified, dynamic and fixed effect regressions. This study will help policymakers for diversifying their export portfolio while ensuring a sustainable environment in Asia.Mubeen Abdur RehmanZeeshan FareedSultan SalemAsma KanwalUgur Korkut PataFrontiers Media S.A.articleGHG emissionsexport diversificationagriculturerenewable energyregulatory qualityMMQREnvironmental sciencesGE1-350ENFrontiers in Environmental Science, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	GHG emissions export diversification agriculture renewable energy regulatory quality MMQR Environmental sciences GE1-350
spellingShingle	GHG emissions export diversification agriculture renewable energy regulatory quality MMQR Environmental sciences GE1-350 Mubeen Abdur Rehman Zeeshan Fareed Sultan Salem Asma Kanwal Ugur Korkut Pata Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
description	Sustainable development remains unattainable unless we move to reduce the negative impact of economic factors on environmental quality. It is noteworthy to provide new evidence on whether and how the empirical association between export diversification, agricultural value-addition, renewable energy, and regulatory quality with greenhouse gas (GHG) emissions evolved in Asian countries from 1996 to 2014. The study examines the relationships between these variables using current panel data techniques. The econometric procedure includes second-generation cointegration and unit root tests together with a novel Method of Movements Quantile Regression (MMQR). This approach offers an asymmetric relationship between the variables and is very robust to outliers compared to traditional quantile regression. The empirical outcomes show that export diversification, renewable energy, and regulatory quality are significantly and negatively associated with GHG emissions. In contrast, agricultural value-added in Asia has become a source of increased GHG emissions. Our findings are also robust with alternate specifications, including fully modified, dynamic and fixed effect regressions. This study will help policymakers for diversifying their export portfolio while ensuring a sustainable environment in Asia.
format	article
author	Mubeen Abdur Rehman Zeeshan Fareed Sultan Salem Asma Kanwal Ugur Korkut Pata
author_facet	Mubeen Abdur Rehman Zeeshan Fareed Sultan Salem Asma Kanwal Ugur Korkut Pata
author_sort	Mubeen Abdur Rehman
title	Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
title_short	Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
title_full	Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
title_fullStr	Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
title_full_unstemmed	Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression
title_sort	do diversified export, agriculture, and cleaner energy consumption induce atmospheric pollution in asia? application of method of moments quantile regression
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/1c352f4eaf964f73b7d1f46f5b4e7485
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_version_	1718441180984770560

Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

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