Interpretation of Economic Growth and Water Pollution Intsity Based on EKC model

Based on the extended Environmental Kuznets model (EKC) and spatial econometric method, this paper analyzes emission intensity data of water pollution Chinese provinces cities from 2004 to 2018 identify key factors that could result in by different periods time regions as well initiate discussions over potential policies be taken future. The results have two implications: one hand, is highly spatially correlated among economic growth indicators such GDP per capita number lights show an inverted U-shaped nonlinear relationship with emissions. As demonstrates both leakage effect spillover effect, it important strengthen implementation strategy featuring comprehensive planning joint prevention control. This also locates performance each region EKC curve. demonstrated results, Shanghai, Beijing Tianjin become first ones manage cross inflection point maintain at level. Zhejiang, Jiangsu, Shandong other eastern coastal areas are situated peak curve, enormous reduction pressure. Most central located left side peak, suffering serious resulted rapid growth. Meanwhile, western China increasing rapidly. It integral seize opportunity supply-side reform speed up industrial restructuring, try not repeat old lesson treatment after pollution. In conclusion, suggested governments all levels should formulate customize their based location so achieve positive dynamics between