Zhang, Qianxue, Zhang, Shengling, Ding, Zhiyi and Hao, Yu (2017). Does government expenditure affect environmental quality? Empirical evidence using Chinese city-level data. J. Clean Prod., 161. S. 143 - 153. OXFORD: ELSEVIER SCI LTD. ISSN 1879-1786

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Abstract

With rapid economic development, the Chinese government expenditures at various levels have increased sufficiently. At the same time, the environmental pollution in China has deteriorated significantly. In this study, the city-level panel data of 106 Chinese cities over the 2002-2014 period are utilized to investigate the impacts of government expenditure on the emissions of three typical pollutants. Specifically, the total effects are divided into two types: direct effects, through which government expenditure affects pollution directly; and indirect effects, which refer to the indirect influences of government expenditure on environmental pollution through its impacts on GDP per capita. To control for potential endogeneity and introduce dynamics, the generalized method of moments (GMM) method is utilized. The estimation results indicate that the total effects of government expenditure on these three pollutants are very different: for sulfur dioxide (502), soot and chemical oxygen demand (COD), the total effects are decreasing, inverted-U and U-shaped, respectively. Furthermore, the indirect effects dominate the direct effects. (C) 2017 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Zhang, QianxueUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, ShenglingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ding, ZhiyiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hao, YuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-217890
DOI: 10.1016/j.jclepro.2017.05.096
Journal or Publication Title: J. Clean Prod.
Volume: 161
Page Range: S. 143 - 153
Date: 2017
Publisher: ELSEVIER SCI LTD
Place of Publication: OXFORD
ISSN: 1879-1786
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
CO2 EMISSIONS; PANEL-DATA; ECONOMIC-GROWTH; GENERALIZED-METHOD; INCOME INEQUALITY; POLLUTION; IMPACT; MOMENTS; TRADEMultiple languages
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/21789

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