Environmental Kuznets Curve in China : New evidence from dynamic panel analysis

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

81 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)138-147
Journal / PublicationEnergy Policy
Volume91
Early online date14 Jan 2016
Publication statusPublished - Apr 2016

Abstract

This paper applies a panel of 28 provinces of China from 1996 to 2012 to study the impacts of economic development, energy consumption, trade openness, and urbanization on the carbon dioxide, waste water, and waste solid emissions. By estimating a dynamic panel model with the system Generalized Method of Moments (GMM) estimator and an autoregressive distributed lag (ARDL) model with alternative panel estimators, respectively, we find that the Environmental Kuznets Curve (EKC) hypothesis is well supported for all three major pollutant emissions in China across different models and estimation methods. Our study also confirms positive effects of energy consumption on various pollutant emissions. In addition, we find some evidence that trade and urbanization may deteriorate environmental quality in the long run, albeit not in the short run. From policy perspective, our estimation results bode well for Chinese government's goal of capping greenhouse emissions by 2030 as outlined in the recent China-US climate accord, while containing energy consumption and harm effects from expanding trade and urbanization remains some environmental challenges that China faces.

Research Area(s)

  • Chinese panel data, Economic growth, Energy consumption, Environmental Kuznets Curve, Pollutant emissions