中国地理科学 ›› 2021, Vol. 31 ›› Issue (3): 400-412.doi: 10.1007/s11769-021-1197-5

• 论文 • 上一篇    

Does Foreign Direct Investment Affect SO2 Emissions in the Yangtze River Delta? A Spatial Econometric Analysis

GUO Zheng1,2, Sophia Shuang CHEN1,3, YAO Shimou1, Anna Charles MKUMBO4   

  1. 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Geography, Nanjing University of Information Science&Technology, Nanjing 210000, China;
    4. Faculty of Science & Technology, Teofilo Kisanji University, Mbeya 999132, Tanzania
  • 收稿日期:2020-04-19 发布日期:2021-02-06
  • 通讯作者: Sophia Shuang CHEN E-mail:schens@niglas.ac.cn
  • 基金资助:
    Under the auspices of National Natural Science Foundation of China (No. 41771140), National Key R&D Program of China (No. 2018YFE0105900)

Does Foreign Direct Investment Affect SO2 Emissions in the Yangtze River Delta? A Spatial Econometric Analysis

GUO Zheng1,2, Sophia Shuang CHEN1,3, YAO Shimou1, Anna Charles MKUMBO4   

  1. 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Geography, Nanjing University of Information Science&Technology, Nanjing 210000, China;
    4. Faculty of Science & Technology, Teofilo Kisanji University, Mbeya 999132, Tanzania
  • Received:2020-04-19 Published:2021-02-06
  • Contact: Sophia Shuang CHEN E-mail:schens@niglas.ac.cn
  • Supported by:
    Under the auspices of National Natural Science Foundation of China (No. 41771140), National Key R&D Program of China (No. 2018YFE0105900)

摘要: As the major source of air pollution, sulfur dioxide (SO2) emissions have become the focus of global attention. However, existing studies rarely consider spatial effects when discussing the relationship between foreign direct investment (FDI) and SO2 emissions. This study took the Yangtze River Delta as the research area and used the spatial panel data of 26 cities in this region for 2004–2017. The study investigated the spatial agglomeration effects and dynamics at work in FDI and SO2 emissions by using global and local measures of spatial autocorrelation. Then, 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 SO2 emissions, so as to avoid the regression results bias caused by ignoring the spatial effects. The results revealed a significant spatial autocorrelation between FDI and SO2 emissions, both of which displayed obvious path dependence characteristics in their geographical distribution. A series of agglomeration regions were observed on the spatial scale. The estimation results of the SDM showed that FDI inflow promoted SO2 emissions, which supports the pollution haven hypothesis. The findings of this study are significant in the prevention and control of air pollution in the Yangtze River Delta.

关键词: foreign direct investment (FDI), sulfur dioxide (SO2) emissions, spatial Durbin model (SDM), spatial correlation, Yangtze River Delta

Abstract: As the major source of air pollution, sulfur dioxide (SO2) emissions have become the focus of global attention. However, existing studies rarely consider spatial effects when discussing the relationship between foreign direct investment (FDI) and SO2 emissions. This study took the Yangtze River Delta as the research area and used the spatial panel data of 26 cities in this region for 2004–2017. The study investigated the spatial agglomeration effects and dynamics at work in FDI and SO2 emissions by using global and local measures of spatial autocorrelation. Then, 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 SO2 emissions, so as to avoid the regression results bias caused by ignoring the spatial effects. The results revealed a significant spatial autocorrelation between FDI and SO2 emissions, both of which displayed obvious path dependence characteristics in their geographical distribution. A series of agglomeration regions were observed on the spatial scale. The estimation results of the SDM showed that FDI inflow promoted SO2 emissions, which supports the pollution haven hypothesis. The findings of this study are significant in the prevention and control of air pollution in the Yangtze River Delta.

Key words: foreign direct investment (FDI), sulfur dioxide (SO2) emissions, spatial Durbin model (SDM), spatial correlation, Yangtze River Delta