BONNEFOND, C.; CLEMENT, Matthieu; YAN, H.

doi:10.1080/14631377.2020.1793604

CLEMENT, Matthieu
Groupe de Recherche en Economie Théorique et Appliquée [GREThA]

YAN, H.

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Article de revue

Ce document a été publié dans

Post-Communist Economies. 2021, vol. 33, n° 5, p. 541-565

Résumé en anglais

This 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.< Réduire

Mots clés en anglais

Atmospheric Pollution

China

Environmental Economics

Environmental Quality

Income Distribution

Kuznets Curve

Panel Data

Parameterization

Rural Area

Soot

Urban Area

Wage Gap

Water Pollution

URI

https://oskar-bordeaux.fr/handle/20.500.12278/123907

DOI

http://dx.doi.org/10.1080/14631377.2020.1793604

Unités de recherche

Groupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113

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Income inequality and environmental quality in China: a semi-parametric analysis applied to provincial panel data

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Ce document a été publié dans

Résumé en anglais

Mots clés en anglais

URI

DOI

Unités de recherche