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dc.rights.licenseopenen_US
dc.contributor.authorBONNEFOND, C.
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorCLEMENT, Matthieu
dc.contributor.authorYAN, H.
dc.date.accessioned2021-11-22T10:59:55Z
dc.date.available2021-11-22T10:59:55Z
dc.date.issued2021
dc.identifier.issn1463-1377en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/123907
dc.description.abstractEnThis article contributes to the literature on the inequality-environment nexus in China, at the provincial level, by filling three major gaps. First, we enlarge the scope of environmental variables so as to include several air and water pollutants. Second, we combine different data sources to construct several measures of income inequality. Third, we propose to use flexible semi-parametric methods in order to analyse the potential nonlinearities in the inequality-environment relationship and control for endogeneity issues. Four conclusions can be drawn from our empirical investigations. (i) Provincial inequality has a negative effect on air and water pollution. (ii) This negative association is primarily explained by inequality between urban and rural areas, which also has a negative impact on environment quality. (iii) Urban inequality contributes to increasing soot emissions and water pollution, which confirms the deleterious impact of inequality for localised pollutions. (iv) Rural inequality has no clear effect on environmental quality. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
dc.language.isoENen_US
dc.subject.enAtmospheric Pollution
dc.subject.enChina
dc.subject.enEnvironmental Economics
dc.subject.enEnvironmental Quality
dc.subject.enIncome Distribution
dc.subject.enKuznets Curve
dc.subject.enPanel Data
dc.subject.enParameterization
dc.subject.enRural Area
dc.subject.enSoot
dc.subject.enUrban Area
dc.subject.enWage Gap
dc.subject.enWater Pollution
dc.title.enIncome inequality and environmental quality in China: a semi-parametric analysis applied to provincial panel data
dc.typeArticle de revueen_US
dc.identifier.doi10.1080/14631377.2020.1793604en_US
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
bordeaux.journalPost-Communist Economiesen_US
bordeaux.page541-565en_US
bordeaux.volume33en_US
bordeaux.hal.laboratoriesGroupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Post-Communist%20Economies&rft.date=2021&rft.volume=33&rft.issue=5&rft.spage=541-565&rft.epage=541-565&rft.eissn=1463-1377&rft.issn=1463-1377&rft.au=BONNEFOND,%20C.&CLEMENT,%20Matthieu&YAN,%20H.&rft.genre=article


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