Over 30 years of extensive development has caused inevitable damage to China's environment.Finding the optimal path between environmental pollution and economic growth is of outstanding importance and urgency.This paper uses cross-sectional data and spatial econometric models of more than 100 major cities in China in 2014.Based on the extended traditional environmental Kuznets curve hypothesis,this study uses PM2.5 concentration as a proxy indicator of environmental pollution to analyze the environmental pollution spatial correlation,the shape of the environmental Kuznets curve and its influencing factors.The results show that the urban environmental pollution in China has an obvious positive spatial correlation.The environmental Kuznets curve simulated by the cross-sectional data shows an "inverted U shape",and the environmental Kuznets curve hypothesis has been confirmed at the urban scale in China.The proportion of the secondary industry,population density,car ownership,etc.are positively related to environmental pollution.The coordinated regional development,control of urban car ownership,and multi-city joint governance are conducive to the improvement of urban environmental quality.
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