The impact of urbanization, FDI and industrial structure effects on China's environment

Based on the extended STIRPAT theoretical framework, the dynamic spatial panel data model analysis method is used to study the long-term and short-term spatial spillover effects of urbanization, FDI and industrial structural factors on China's environmental pollution. The results show that every 10% increase in the urbanization rate of a region will reduce the local CO2 emission level by 0.02% in the short term, and reduce the CO2 emission level by 0.04% in the neighboring area; and in the long term, it will reduce the local CO2 emission level by 0.08% and the neighboring region's CO2 emission level by 0.2%. Before 2006, every 1% reduction in energy intensity in a region will reduce the local CO2 emission level by 0.31% in the short-term and reduce 0.09% of the neighboring region's CO2 emission level; in the long term, it will reduce the local CO2 emission level by 1.3% and reduce 0.55% of CO2 emission level in neighboring region. After 2006, this change in energy intensity will reduce carbon emissions by a total of 0.45% in the short term and a total of 2.06% in the long term. Every 10% increase in urbanization rate will reduce the local 0.05 % of SO2 emissions, reduce the SO2 emissions of neighboring areas by 0.1%. Every 10% reduction in the proportion of secondary industry will reduce the local and neighboring SO2 emissions levels 0.03% and 0.09%, respectively. Every expanded 1% population size will be increased by 0.55% of the neighboring region's SO2 emission levels. Every 1% reduction in energy intensity will be reduced by 0.12% local SO2 emission levels. © 2020, Editorial Board of China Environmental Science. All right reserved.