Does Foreign Direct Investment Affect S0_(2) Emissions in the Yangtze River Delta?A Spatial Econometric Analysis

作     者：GUO Zheng Sophia Shuang CHEN YAO Shimou Anna Charles MKUMBO GUO Zheng;Sophia Shuang CHEN;YAO Shimou;Anna Charles MKUMBO

作者机构：Key Laboratory of Watershed Geographic SciencesNanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing 210008China University of Chinese Academy of SciencesBeijing 100049China School of GeographyNanjing University of Information Science&TechnologyNanjing 210000China Faculty of Science&TechnologyTeofilo Kisanji UniversityMbeya 999132Tanzania 

出 版 物：《Chinese Geographical Science》 (中国地理科学（英文版）)

年 卷 期：2021年第31卷第3期

页      面：400-412页

核心收录：

学科分类：0303[法学-社会学] 07[理学] 0708[理学-地球物理学] 070602[理学-大气物理学与大气环境] 0705[理学-地理学] 0706[理学-大气科学] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 

基　　金：Under the auspices of National Natural Science Foundation of China(No.41771140) National Key R&D Program of China(No.2018YFE0105900) 

主　　题：foreign direct investment(FDI) sulfur dioxide(S0_(2))emissions spatial Durbin model(SDM) spatial correlation Yangtze River Delta 

摘      要：As the major source of air pollution,sulfur dioxide(S0_(2))emissions have become the focus of global ***,existing studies rarely consider spatial effects when discussing the relationship between foreign direct investment(FDI)and S0_(2) *** study took the Yangtze River Delta as the research area and used the spatial panel data of 26 cities in this region for *** study investigated the spatial agglomeration effects and dynamics at work in FDI and S0_(2) emissions by using global and local measures of spatial ***,based on regression analysis using a results of traditional ordinary least squares(OLS)model and a spatial econometric model,the spatial Durbin model(SDM)with spatial-time effects was adopted to quantify the impact of FDI on S0_(2) emissions,so as to avoid the regression results bias caused by ignoring the spatial *** results revealed a significant spatial autocorrelation between FDI and S0_(2) emissions,both of which displayed obvious path dependence characteristics in their geographical distribution.A series of agglomeration regions were observed on the spatial *** estimation results of the SDM showed that FDI inflow promoted S0_(2) emissions,which supports the pollution haven *** findings of this study are significant in the prevention and control of air pollution in the Yangtze River Delta.