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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire d'analyse et de recherche en économie et finance internationales [Larefi]
dc.contributor.authorDEES, Stephane
dc.date.accessioned2022-11-23T14:37:35Z
dc.date.available2022-11-23T14:37:35Z
dc.date.issued2020-06-11
dc.identifier.issn0924-6460en_US
dc.identifier.urioai:crossref.org:10.2139/ssrn.3632699
dc.identifier.urioai:crossref.org:10.1007/s10640-020-00432-1
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170355
dc.description.abstractEnEmissions of pollutants tend to be procyclical as they generally increase with economic growth. However, as government policy has a role to play in the mitigation of the environmental consequences of economic activity, the quality of institutions may influence the procyclicality of pollution and reduce the environmental cost of economic growth. Based on the assumption that changes in emissions are stronger at earlier stages of development, we develop a non-linear framework and confirm first the presence of income-related threshold effects in the relationship between pollution (CO2 and greenhouse gas emissions) and growth, for a panel of 142 countries over a period spanning from 1960 to 2017. We also find that institutional quality influences this relationship, lowering both the value of the threshold and the degree of procyclicality of emissions. These results bring therefore evidence that higher institutional quality can attenuate the environmental externalities of economic growth.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enCO2 Emissions
dc.subject.enGHG Emissions
dc.subject.enEconomic Growth
dc.subject.enInstitutions
dc.title.enAssessing the Role of Institutions in Limiting the Environmental Externalities of Economic Growth
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s10640-020-00432-1
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
dc.subject.jelC - Mathematical and Quantitative Methods::C3 - Multiple or Simultaneous Equation Models; Multiple Variables::C33 - Panel Data Models; Spatio-temporal Models
dc.subject.jelO - Economic Development, Innovation, Technological Change, and Growth::O4 - Economic Growth and Aggregate Productivity::O44 - Environment and Growth
dc.subject.jelQ - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q5 - Environmental Economics::Q56 - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
dc.subject.jelQ - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q5 - Environmental Economics::Q58 - Government Policy
bordeaux.journalEnvironmental and Resource Economicsen_US
bordeaux.page429-445en_US
bordeaux.volume76en_US
bordeaux.hal.laboratoriesLaboratoire d'analyse et de recherche en économie et finance internationales (LAREFI) - EA2954en_US
bordeaux.issue2-3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRS
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03867934
hal.version1
hal.date.transferred2022-11-23T14:37:38Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental%20and%20Resource%20Economics&rft.date=2020-06-11&rft.volume=76&rft.issue=2-3&rft.spage=429-445&rft.epage=429-445&rft.eissn=0924-6460&rft.issn=0924-6460&rft.au=DEES,%20Stephane&rft.genre=article


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