Abstract: Relevant data of 31 Regions in China from 2011 to 2017 are used to analyze the ecological level of inter-provincial industry and explore the influencing factors of the ecological level of industry. Firstly, the SBM-DEA model based on non-expected output is used to measure the industrial ecology of each province. Then Moran's I index is used to test the spatial correlation of the industrial ecology level of each province. Finally, the spatial econometric model is used to analyze and explore the spatial-temporal differentiation characteristics and influencing factors of the industrial ecology level. The results show that the overall average level of industrial ecology is decreasing, and the spatial agglomeration of ecological industry is gradually strengthened, and GDP per capita, fixed assets, science and technology expenditure and total foreign investment in neighboring regions have no significant influence on the eco-industry based on the "three wastes" measure of non-expected output, while the degree of industrialization of neighboring regions and the per capita public green space have a large and significant influence on the eco-industry coefficient.

Key words: ecological industry, SBM-DEA, spatial correlation, spatial econometric analysis