Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective

doi:10.1016/j.scitotenv.2017.09.110

	Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective
	Liu, Qianqian 1,2; Wang, Shaojian 3; Zhang, Wenzhong 1,2; Zhan, Dongsheng 1,2; Li, Jiaming 1,2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2018-02-01
卷号	613 页码:521-529
关键词	Foreign direct investment (FDI) Environmental pollution Spatial autocorrelation Spatial regression
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2017.09.110
通讯作者	Wang, Shaojian(wangsj.12b@igsnrr.ac.cn) ; Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
英文摘要	Environmental pollution has aroused extensive concern worldwide. Existing literature on the relationship between foreign direct investment (FDI) and environmental pollution has, however, seldom taken into account spatial effects. Addressing this gap, this paper investigated the spatial agglomeration effects and dynamics at work in FDI and environmental pollution (namely, in waste soot and dust, sulfur dioxide, and wastewater) in 285 Chinese cities during the period 2003-2014, using global and local measures of spatial autocorrelation. Our results showed significant spatial autocorrelation in FDI and environmental pollution levels, both of which demonstrated obvious path dependence characteristics in their geographical distribution. A range of agglomeration regions were observed. The high-value and low-value agglomeration areas of FDI were not fully consistent with those of environmental pollution. This result indicates that higher inflows of FDI did not necessarily lead to greater environmental pollution from a geographic perspective, and vice versa. Spatial panel data models were further adopted to explore the impact of FDI on environmental pollution. The results of a spatial lag model (SLM) and a spatial error model (SEM) revealed that the inflow of FDI had distinct effects on different environmental pollutants, thereby confirming the Pollution Heaven Hypothesis and Pollution Halo Hypothesis. The inflow of FDI was found to have reduced waste soot and dust pollution to a certain extent, while it increased the degree of wastewater and sulfur dioxide pollution. The findings set out in this paper hold significant implications for Chinese environmental pollution protection. (C) 2017 Elsevier B.V. All rights reserved.
资助项目	Program National Natural Science Foundation of China[41601151] ; Program National Natural Science Foundation of China[41230632] ; Natural Science Foundation of Guangdong Province[2016A030310149]
WOS关键词	CARBON-DIOXIDE EMISSIONS ; PANEL-DATA ANALYSIS ; KUZNETS CURVE ; CO2 EMISSIONS ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; SOCIOECONOMIC-FACTORS ; CAUSALITY ANALYSIS ; HAVEN HYPOTHESIS ; URBAN FORM
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000414160500056
资助机构	Program National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61092]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Shaojian; Zhang, Wenzhong
作者单位	1.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, 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
推荐引用方式 GB/T 7714	Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,et al. Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,613:521-529.
APA	Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,Zhan, Dongsheng,&Li, Jiaming.(2018).Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective.SCIENCE OF THE TOTAL ENVIRONMENT,613,521-529.
MLA	Liu, Qianqian,et al."Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective".SCIENCE OF THE TOTAL ENVIRONMENT 613(2018):521-529.