Abstract:Different from the existing studies, this paper adopts super efficiency EBM model to measure the regional green innovation efficiency which considers energy factors, and uses the exploratory spatial data analysis (ESDA) method to analyze spatial-temporal variation of regional green innovation efficiency from the spatial correlation perspective. Taking the manufacturing industry in the Yangtze River Economic Belt as an example, the paper uses the panel data from 2008 to 2019 to construct the measurement index of green innovation efficiency, empirical results indicate that: (1)The green innovation efficiency of manufacturing industry in the Yangtze River Economic Belt is less than 1, which reflects the failure to achieve efficient production, and among them, the green innovation efficiency of manufacturing industry in the downstream region is the highest, and that in the middle and upstream region is poor. (2)The green innovation efficiency of manufacturing industry has obvious spatial heterogeneity among different regions in the Yangtze River Economic Belt, and the spatial distribution pattern with its economic development level is coordination. (3)The green innovation efficiency shows positive spatial autocorrelation with spatial agglomeration characteristics. On this basis, the paper proposes policy implications for contributing green innovation of manufacturing industry in the Yangtze River Economic Belt from the perspectives of improving the level of green innovation, strengthening the spatial clustering effect and promoting regional convergence development.
