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author:

Li, K. (Li, K..) [1] | Fang, L. (Fang, L..) [2] | He, L. (He, L..) [3]

Indexed by:

Scopus

Abstract:

This paper examines the impact of population and energy price on China's environmental pollution through both industrial and residential channels. Our theoretical models reveal that the influences of population on environmental pollution are contingent on wage stickiness and wage elasticity. We also predict that environment pollution decreases with rising energy price, but downward energy price distortion intensifies environmental pollution. We test these hypotheses using panel data of 30 Chinese provinces from 2001 to 2016 and employing both constant coefficient and time-varying coefficient panel data models to conduct analyses. Our empirical results show that population growth, increased urbanization, and energy price distortion all intensify environmental pollution, while population aging and rising energy price tend to alleviate environmental pollution. Our results also reveal significant regional and time heterogeneity on the impact of population factors and energy price on China's environmental pollution. © 2019 Elsevier Ltd

Keyword:

China; Energy price distortion; Environmental pollution; Population; Urbanization

Community:

  • [ 1 ] [Li, K.]College of Economics, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
  • [ 2 ] [Fang, L.]School of Economics & Management, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 3 ] [He, L.]School of Business & Management, State University of New York College at Brockport, Brockport, New York, 14450, United States

Reprint 's Address:

  • [Fang, L.]Department of statistics, School of Economics & Management, Fuzhou University, No. 2 Xue Yuan Road, University Town, China

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Source :

Energy Policy

ISSN: 0301-4215

Year: 2019

Volume: 129

Page: 386-396

5 . 0 4 2

JCR@2019

9 . 3 0 0

JCR@2023

ESI HC Threshold:95

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 186

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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