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Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic
Environmental stability improved during the covid 19 pandemic when production and industrial activities, and natural resources depletion processes stopped during the lockdown environment worldwide; however, based on the judgment of COP26 and the recent COP27, environmental degradation increased in t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186983/ https://www.ncbi.nlm.nih.gov/pubmed/37265607 http://dx.doi.org/10.1016/j.resourpol.2023.103652 |
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author | Li, Jiaqi Li, Yushan Zheng, Ziqi Si, Xiaoyu |
author_facet | Li, Jiaqi Li, Yushan Zheng, Ziqi Si, Xiaoyu |
author_sort | Li, Jiaqi |
collection | PubMed |
description | Environmental stability improved during the covid 19 pandemic when production and industrial activities, and natural resources depletion processes stopped during the lockdown environment worldwide; however, based on the judgment of COP26 and the recent COP27, environmental degradation increased in the world in post-pandemic; therefore, policymakers and researchers re-focused their attention on the determinants of CO2 in economies. Hence, this study investigates the nexus of natural resource rents, including oil rents, mineral rents, and coal rents, on the carbon emissions of upper-middle-income economies from 1984 to 2021. The study included economic growth and renewable energy as additional determinants. We have presented detailed time series methods that aid in examining the modeled variables characteristics in the current research, i.e., ADF and ADF-GLS for a unit root in the data variables and considering their stationarity, Johansen cointegration for long-term cointegration among variables, FMOLS, DOLS and CCR for the long run elasticities between dependent and independent variables and Granger causality test in our range of methods. Robustness checks analysis is done through a non-parametric approach by quantile regression and robust regression analysis. Our results exhibit that two natural resource rents that are oil rents and coal rents, have adverse impacts on carbon emissions, and both are positive and significant. In contrast, mineral rents have no statistical significance and role in the carbon emissions of upper-middle-income economies. Moreover, economic growth and renewable energy also positively and significantly impact carbon emissions. Granger causality analysis exerts that natural resources rents, except for mineral rents, economic growth, and renewable energy, all granger causes CO2 emissions, and the feedback is also true. The relevant findings are suitable for policymakers in upper-middle-income economies to ensure environmental sustainability in upper-middle-income economies. |
format | Online Article Text |
id | pubmed-10186983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101869832023-05-16 Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic Li, Jiaqi Li, Yushan Zheng, Ziqi Si, Xiaoyu Resour Policy Article Environmental stability improved during the covid 19 pandemic when production and industrial activities, and natural resources depletion processes stopped during the lockdown environment worldwide; however, based on the judgment of COP26 and the recent COP27, environmental degradation increased in the world in post-pandemic; therefore, policymakers and researchers re-focused their attention on the determinants of CO2 in economies. Hence, this study investigates the nexus of natural resource rents, including oil rents, mineral rents, and coal rents, on the carbon emissions of upper-middle-income economies from 1984 to 2021. The study included economic growth and renewable energy as additional determinants. We have presented detailed time series methods that aid in examining the modeled variables characteristics in the current research, i.e., ADF and ADF-GLS for a unit root in the data variables and considering their stationarity, Johansen cointegration for long-term cointegration among variables, FMOLS, DOLS and CCR for the long run elasticities between dependent and independent variables and Granger causality test in our range of methods. Robustness checks analysis is done through a non-parametric approach by quantile regression and robust regression analysis. Our results exhibit that two natural resource rents that are oil rents and coal rents, have adverse impacts on carbon emissions, and both are positive and significant. In contrast, mineral rents have no statistical significance and role in the carbon emissions of upper-middle-income economies. Moreover, economic growth and renewable energy also positively and significantly impact carbon emissions. Granger causality analysis exerts that natural resources rents, except for mineral rents, economic growth, and renewable energy, all granger causes CO2 emissions, and the feedback is also true. The relevant findings are suitable for policymakers in upper-middle-income economies to ensure environmental sustainability in upper-middle-income economies. Elsevier Ltd. 2023-06 2023-05-16 /pmc/articles/PMC10186983/ /pubmed/37265607 http://dx.doi.org/10.1016/j.resourpol.2023.103652 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Li, Jiaqi Li, Yushan Zheng, Ziqi Si, Xiaoyu Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title | Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title_full | Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title_fullStr | Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title_full_unstemmed | Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title_short | Environment and natural resources degradation under COVID-19 crises: Recovery post pandemic |
title_sort | environment and natural resources degradation under covid-19 crises: recovery post pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186983/ https://www.ncbi.nlm.nih.gov/pubmed/37265607 http://dx.doi.org/10.1016/j.resourpol.2023.103652 |
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