Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s11356-022-23351-8 http://hdl.handle.net/11449/247720 |
Resumo: | This paper investigates the effect of the supply chain disruption, greener energy consumption, and economic growth on carbon emissions in advanced economies and emerging markets from 1997 to 2021 using panel quantile autoregressive distributed lags (QARDL) and the panel quantile regression (QR). The results of the two models confirm, on the one hand, the validity of the environmental Kuznets curve (EKC) hypothesis and, on the other hand, the role of renewable energy consumption in mitigating carbon emissions in advanced and developing economies. Furthermore, the finding shows that the supply chain disruption for the long run is positive at all quantiles, indicating the evidence of association at the extreme low and high quantiles than at the intermediate quantile. In addition, the effect of the supply chain decreases at the lower quantile. It turns negative at the upper 90th quantile in the short run, indicating that the supply chain disruption reduces the environmental degradation under the bearish market conditions. In the future, the increasing supply chain disruptions due to the Russia-Ukraine conflict and further COVID-19 worldwide can consider sluggish economic growth and play an essential role in promoting renewable energy abundance and reducing CO2 emissions. Practical implications are reported in the lens of carbon neutrality and structural changes. |
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Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goalsCarbon emissionsGreener energyPanel quantile ARDLSupply chain disruptionThis paper investigates the effect of the supply chain disruption, greener energy consumption, and economic growth on carbon emissions in advanced economies and emerging markets from 1997 to 2021 using panel quantile autoregressive distributed lags (QARDL) and the panel quantile regression (QR). The results of the two models confirm, on the one hand, the validity of the environmental Kuznets curve (EKC) hypothesis and, on the other hand, the role of renewable energy consumption in mitigating carbon emissions in advanced and developing economies. Furthermore, the finding shows that the supply chain disruption for the long run is positive at all quantiles, indicating the evidence of association at the extreme low and high quantiles than at the intermediate quantile. In addition, the effect of the supply chain decreases at the lower quantile. It turns negative at the upper 90th quantile in the short run, indicating that the supply chain disruption reduces the environmental degradation under the bearish market conditions. In the future, the increasing supply chain disruptions due to the Russia-Ukraine conflict and further COVID-19 worldwide can consider sluggish economic growth and play an essential role in promoting renewable energy abundance and reducing CO2 emissions. Practical implications are reported in the lens of carbon neutrality and structural changes.Faculty of Economics and Management Department of Economics University of Ain TemouchentDepartment of Tourism Studies School of Business Studies Central University of KeralaDepartment of Economics Federal University of Ouro Preto (DEECO-UFOP), Rua do Catete 166 – CentroInnovation Economics Institute of Economics University of HohenheimDepartment of Production Engineering School of Engineering of Bauru São Paulo State University (UNESP), Campus BauruDepartment of Production Engineering São Paulo State University (UNESP)Department of Production Engineering School of Engineering of Bauru São Paulo State University (UNESP), Campus BauruDepartment of Production Engineering São Paulo State University (UNESP)University of Ain TemouchentCentral University of KeralaFederal University of Ouro Preto (DEECO-UFOP)University of HohenheimUniversidade Estadual Paulista (UNESP)Mohammed, Kamel SiTiwari, SunilFerraz, Diogo [UNESP]Shahzadi, Irum [UNESP]2023-07-29T13:24:01Z2023-07-29T13:24:01Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18168-18180http://dx.doi.org/10.1007/s11356-022-23351-8Environmental Science and Pollution Research, v. 30, n. 7, p. 18168-18180, 2023.1614-74990944-1344http://hdl.handle.net/11449/24772010.1007/s11356-022-23351-82-s2.0-85139471330Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Science and Pollution Researchinfo:eu-repo/semantics/openAccess2024-06-28T13:18:21Zoai:repositorio.unesp.br:11449/247720Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:49:09.454158Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
title |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
spellingShingle |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals Mohammed, Kamel Si Carbon emissions Greener energy Panel quantile ARDL Supply chain disruption |
title_short |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
title_full |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
title_fullStr |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
title_full_unstemmed |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
title_sort |
Assessing the EKC hypothesis by considering the supply chain disruption and greener energy: findings in the lens of sustainable development goals |
author |
Mohammed, Kamel Si |
author_facet |
Mohammed, Kamel Si Tiwari, Sunil Ferraz, Diogo [UNESP] Shahzadi, Irum [UNESP] |
author_role |
author |
author2 |
Tiwari, Sunil Ferraz, Diogo [UNESP] Shahzadi, Irum [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
University of Ain Temouchent Central University of Kerala Federal University of Ouro Preto (DEECO-UFOP) University of Hohenheim Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Mohammed, Kamel Si Tiwari, Sunil Ferraz, Diogo [UNESP] Shahzadi, Irum [UNESP] |
dc.subject.por.fl_str_mv |
Carbon emissions Greener energy Panel quantile ARDL Supply chain disruption |
topic |
Carbon emissions Greener energy Panel quantile ARDL Supply chain disruption |
description |
This paper investigates the effect of the supply chain disruption, greener energy consumption, and economic growth on carbon emissions in advanced economies and emerging markets from 1997 to 2021 using panel quantile autoregressive distributed lags (QARDL) and the panel quantile regression (QR). The results of the two models confirm, on the one hand, the validity of the environmental Kuznets curve (EKC) hypothesis and, on the other hand, the role of renewable energy consumption in mitigating carbon emissions in advanced and developing economies. Furthermore, the finding shows that the supply chain disruption for the long run is positive at all quantiles, indicating the evidence of association at the extreme low and high quantiles than at the intermediate quantile. In addition, the effect of the supply chain decreases at the lower quantile. It turns negative at the upper 90th quantile in the short run, indicating that the supply chain disruption reduces the environmental degradation under the bearish market conditions. In the future, the increasing supply chain disruptions due to the Russia-Ukraine conflict and further COVID-19 worldwide can consider sluggish economic growth and play an essential role in promoting renewable energy abundance and reducing CO2 emissions. Practical implications are reported in the lens of carbon neutrality and structural changes. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:24:01Z 2023-07-29T13:24:01Z 2023-02-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s11356-022-23351-8 Environmental Science and Pollution Research, v. 30, n. 7, p. 18168-18180, 2023. 1614-7499 0944-1344 http://hdl.handle.net/11449/247720 10.1007/s11356-022-23351-8 2-s2.0-85139471330 |
url |
http://dx.doi.org/10.1007/s11356-022-23351-8 http://hdl.handle.net/11449/247720 |
identifier_str_mv |
Environmental Science and Pollution Research, v. 30, n. 7, p. 18168-18180, 2023. 1614-7499 0944-1344 10.1007/s11356-022-23351-8 2-s2.0-85139471330 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Environmental Science and Pollution Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
18168-18180 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129361010753536 |