Study on the evaluation of efficiency and influence mechanism of chinese green innovation based on spectral clustering
Based on the perspective of the innovation value chain,using the super efficiency SBM-Undesirable model,the green innovation efficiency values in the two stages of technology research and development and achievement transformation in 30 provinces in China were calculated;The spectral clustering algorithm was used to divide 30 provinces in China into green innovation regions,and the Kernel density estimation method was used to study the differences in the efficiency of green innovation in each region;Build a panel Tobit model to explore the impact mechanism of influencing factors on the efficiency of green innovation in various regions.The results show that,from a national perspective,the efficiency of green innovation in the achievement transformation stage is higher than that in the technology research and development stage,and there is still significant room for improvement in the technology research and development stage;The green innovation efficiency of the three green innovation regions is uneven,and there are significant differences in the evolution rules of green innovation efficiency among the regions;There are differences in the degree and direction of the impact of factors at different stages on the efficiency of green innovation in various regions.Based on the analysis conclusions,targeted suggestions are given to improve the efficiency of green innovation in different regions from aspects such as government support and environmental regulations.
innovation value chaingreen innovation efficiencyspectral clustering
万方数据
维普
