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Income distribution and environmental quality in China: A spatial econometric perspective
Liu, Qianqian1,2; Wang, Shaojian3; Zhang, Wenzhong1,2; Li, Jiaming1,2
2018-12-20
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
Volume205Pages:14-26
Corresponding AuthorWang, Shaojian(wangshj8@mail.sysu.edu.cn) ; Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
AbstractPaying heed to a surge of concern about the serious and continuous environmental degradation that is currently being witnessed in China, in this paper we investigate whether income distribution contributes to environmental deterioration. Environmental degradation can be linked not only to income growth, we argue, but also to increases in income inequality. The study calculated the Gini coefficient of 31 province using a data set of 403 city level data in mainland China and estimated the linkage between income distribution and environmental deterioration utilizing balanced data for 31 Chinese provinces during the period 1996-2015. First, the degree of environmental pollution was calculated by constructing a comprehensive index system, which was formulated using the entropy method, based on six environmental indicators. Then, a spatial panel regression model was also employed in order to estimate whether income inequality is likely to be a relevant factor in environmental deterioration in China. The estimation results showed that: using the index and spatial analysis techniques, significant spatial positive agglomeration were found existing between Chinese provinces in terms of their levels of environmental degradation; the influencing factors estimation results substantiated the existence of an invert U-shaped relation, lending support to the Environmental Kuznets curve theory; more importantly, the study found that income inequality played a significant role in preventing environmental degradation, suggesting that an appropriate level of income inequality over a delimited period is beneficial to improving environmental quality. It should, however, also be emphasized that optimizing the country's income distribution is remains an important long-term task for the Chinese government; other factors were found to exert different types and magnitudes of impacts on environmental pollution. Results showed that many factors-for instance, energy intensity, the share of secondary industry, population density, and foreign direct investment-contribute to environmental deterioration. Conversely, our findings also indicate that rising urbanization levels can have a positive effect on environmental quality. In addition, no clear evidence was found to suggest that local government expenditure is related to environmental degradation. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordIncome distribution Environmental quality Gini index Spatial econometric model Environmental Kuznets curve
DOI10.1016/j.jclepro.2018.09.090
WOS KeywordCARBON-DIOXIDE EMISSIONS ; PROVINCIAL PANEL-DATA ; CO2 EMISSIONS ; KUZNETS CURVE ; UNITED-STATES ; SPATIOTEMPORAL PATTERNS ; ENERGY-CONSUMPTION ; EMPIRICAL-EVIDENCE ; ECONOMIC-GROWTH ; INEQUALITY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601151] ; National Natural Science Foundation of China[41230632] ; Natural Science Foundation of Guangdong Province[2016A030310149] ; Pearl River S&T Nova Program of Guangzhou[201806010187]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Pearl River S&T Nova Program of Guangzhou
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000449133300002
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52493
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaojian; Zhang, Wenzhong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,et al. Income distribution and environmental quality in China: A spatial econometric perspective[J]. JOURNAL OF CLEANER PRODUCTION,2018,205:14-26.
APA Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,&Li, Jiaming.(2018).Income distribution and environmental quality in China: A spatial econometric perspective.JOURNAL OF CLEANER PRODUCTION,205,14-26.
MLA Liu, Qianqian,et al."Income distribution and environmental quality in China: A spatial econometric perspective".JOURNAL OF CLEANER PRODUCTION 205(2018):14-26.
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