基于DEA-Malmquist和Tobit模型的长三角城市群绿色创新绩效研究

This paper uses the DEA-Malmquist method to measure the green innovation performance of the Yangtze River Delta Urban Agglomerations from 2012 to 2018, and uses Tobit regression analysis to analyze the factors affecting the green innovation performance of the study area. The empirical results show that: (1) From the green innovation performance scores, the green innovation efficiency of cities in the Yangtze River Delta Urban Agglomerations is uneven, and the gap is obvious; the overall green innovation efficiency has been improved, that is, new knowledge and technology have promoted the development of green economy, but the effect is not obvious; The contribution of the total factor growth rate mainly comes from the improvement of the level of technological progress, indicating that technological progress is still the main means to improve the performance of regional green innovation. The dynamic development of green innovation performance from 2012 to 2018 further confirms the importance of enhancing technological progress; In the process of urban development, there is a poor coordination between the pursuit of technological progress and the utilization of technology under the existing resource endowment. (2) The spatial differentiation of green innovation performance among cities in the urban agglomeration is obvious, with "high in the east and low in the west" as a whole. Certain spatial agglomeration, forming a "Z"-shaped spatial distribution characteristic; Jiangsu Province has a more outstanding overall performance level, and most cities in Anhui Province have poor green innovation performance. (3) The regression analysis on the influencing factors of green innovation capability shows that the industrial structure has a significant impact on the efficiency of green innovation. Enhancing the accessibility of information between regions can improve the level of innovation performance.