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Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases - Evidence from EU Countries

dc.contributor.authorMadaleno, Mara
dc.contributor.authorMoutinho, Victor
dc.date.accessioned2021-10-28T11:12:00Z
dc.date.available2021-10-28T11:12:00Z
dc.date.issued2021-03
dc.description.abstractDecreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMadaleno, M., & Moutinho, V. (2021). Analysis of the new kuznets relationship: Considering emissions of carbon, methanol and nitrous oxide greenhouse gases—evidence from eu countries. International Journal of Environmental Research and Public Health, 18(6), 2907. https://doi.org/10.3390/ijerph18062907pt_PT
dc.identifier.doi10.3390/ijerph18062907pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/11237
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Unit on Governance, Competitiveness and Public Policy
dc.relationResearch Unit in Business Sciences
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGreenhouse gas emissions (GHG)pt_PT
dc.subjectGross domestic product per capita (GDPpc)pt_PT
dc.subjectEnvironmental Kuznets Curve (EKC)pt_PT
dc.subjectFormer European Union (EU 15) countriespt_PT
dc.subjectNew European Union (EU 12) countriespt_PT
dc.subjectFully modified ordinary least squares (FMOLS)pt_PT
dc.subjectDynamic ordinary least squares (DOLS)pt_PT
dc.titleAnalysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases - Evidence from EU Countriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Unit on Governance, Competitiveness and Public Policy
oaire.awardTitleResearch Unit in Business Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04058%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04630%2F2020/PT
oaire.citation.titleInternational Journal of Environmental Research and Public Healthpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva Madaleno
person.familyNameMoutinho
person.givenNameMara Teresa da
person.givenNameVictor
person.identifierA-6356-2018
person.identifier.ciencia-idC614-127A-AE55
person.identifier.ciencia-id211A-65B8-8EA8
person.identifier.orcid0000-0002-4905-2771
person.identifier.orcid0000-0003-0811-9033
person.identifier.scopus-author-id36548856100
person.identifier.scopus-author-id57010555300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication5d1abfe3-e724-48b6-a64a-d03ec90d0f62
relation.isAuthorOfPublication.latestForDiscovery58852036-2210-4721-9637-cb00342724b6
relation.isProjectOfPublication99322bb7-250c-4930-bd2c-c1a2d28870d1
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