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

Area of Science:

• Environmental Science
• Economics
• Urban Studies

Background:

• Global concern over environmental pollution.
• Limited research on spatial effects of FDI on pollution.
• Need to understand FDI-pollution nexus in Chinese cities.

Purpose of the Study:

• Investigate spatial agglomeration of FDI and pollution.
• Analyze the impact of FDI on different pollutants.
• Examine spatial autocorrelation and path dependence.

Main Methods:

• Spatial autocorrelation analysis (global and local).
• Spatial panel data models (SLM and SEM).
• Analysis of FDI and pollution data for 285 Chinese cities (2003-2014).

Main Results:

• Significant spatial autocorrelation and path dependence in FDI and pollution.
• Inconsistent agglomeration patterns for FDI and pollution.
• FDI reduced soot/dust but increased wastewater/SO2 pollution, confirming Pollution Heaven/Halo hypotheses.

Conclusions:

• FDI's environmental impact is pollutant-specific and spatially dependent.
• Spatial analysis reveals nuanced FDI-pollution relationships.
• Findings inform Chinese environmental protection strategies.