This paper uses the super-efficient SBM-DEA model including non-desired outputs to measure the environmental governance performance of 207 cities at prefecture level and above in China from 2007 to 2019,and further examines the regional differences and dynamic evolution characteristics of the Yellow River basin,the Yangtze River basin and the Pearl River basin,by the means of the Dagum Gini coefficient and the non-parametric kernel density. It uses the coefficient of variation and the spatial econometric model to test its spatial convergence. It's found that: 1) In terms of spatiotemporal distribution,China's environmental governance performance is low overall,though it is fluctuatingly upward in low magnitude. The order of the environmental governance performance level from high to low is the Pearl River basin,the Yellow River basin and the Yangtze River basin,respectively. The distribution pattern of China's environmental governance performance changes from "scattered and sporadic" to "multi-polar cores",while it shows the most contiguous distribution in the Pearl River basin. 2) The inter-group differences of the environmental governance performance show the fluctuatingly downward in the three major basins and continue to grow,and regional differences are mainly determined by intra-group differences and hypervariable density. 3) It has obvious characteristics of left trailing and polarization phenomena in China and the three major basins. The inter-group differences are gradually decreasing within China and the other two major basins except for the Yellow River basin. 4) It has σ convergence,absolute β convergence and conditional β convergence in China and the other two major basins,except for the Yangtze River basin. Furthermore,there is considerable heterogeneity in the effects of economic development,technical assistance,financial pressure, foreign investment, and government preferences on the environmental governance performance.
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