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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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2021.781097/full |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-18T04:06:54Z |
| format | Article |
| id | doaj.art-1c352f4eaf964f73b7d1f46f5b4e7485 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-12-18T04:06:54Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-1c352f4eaf964f73b7d1f46f5b4e74852022-12-21T21:21:35ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2021-10-01910.3389/fenvs.2021.781097781097Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile RegressionMubeen Abdur Rehman0Zeeshan Fareed1Sultan Salem2Asma Kanwal3Ugur Korkut Pata4Lahore Business School, University of Lahore, Lahore, PakistanSchool of Economics and Management, Huzhou University, Huzhou, ChinaDepartment of Economics (DoE), Birmingham Business School (BBS), University House, College of Social Sciences (CoSS), University of Birmingham, Birmingham, United KingdomSchool of Economics, Sichuan University, Chengdu, ChinaFaculty of Economics and Administrative Sciences, Department of Economics, Osmaniye Korkut Ata University, Osmaniye, TurkeySustainable 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.https://www.frontiersin.org/articles/10.3389/fenvs.2021.781097/fullGHG emissionsexport diversificationagriculturerenewable energyregulatory qualityMMQR |
| spellingShingle | 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 Frontiers in Environmental Science GHG emissions export diversification agriculture renewable energy regulatory quality MMQR |
| title | 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_short | 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 |
| topic | GHG emissions export diversification agriculture renewable energy regulatory quality MMQR |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2021.781097/full |
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