| In recent years,the status of central city has been continuously strengthened.Thanks to the political and economic status of central city and good resource allocation ability,central city colleges and universities have unique advantages in scientific and technological research and application innovation.Cooperation and exchange among innovation subjects can significantly improve innovation efficiency.Therefore,it is the only way to promote cooperation and exchange among universities to study the structure of innovation connection network of universities in central cities and analyze the influence of node status on the innovation efficiency of the nodes.This paper studies from four steps: 1.In order to analyze the innovation connection network structure of colleges and universities in China’s central cities,this paper firstly constructed an evaluation index system for the innovation capability of colleges and universities in China’s central cities to scientifically measure the innovation capability level of colleges and universities in China’s central cities,and introduced the Herfindahl index and the barycentric analysis model to conduct a macro analysis on the distribution and evolution of the innovation capability index of colleges and universities in China’s central cities.2.Based on the measurement results of innovation capability,the gravity model is introduced to measure the innovation connection intensity of colleges and universities in China’s central cities.Based on the connection intensity,the social network analysis is carried out.3.In order to explore the influence of the innovation connection network structure of universities in China’s central cities on innovation,this paper uses the DEA model to measure the innovation efficiency of universities in China’s central cities and conducts Tobit regression analysis with point centrality,middle centrality and proximity centrality.4.In order to investigate the space spillover effect and its influencing factors of college innovation in China’s central cities,in order to optimize the space spillover propagation path and improve the overall level of higher education in China,the paper analyzes the space spillover effect of college innovation in China’s central cities.The results show that: 1.Indicators related to innovation output occupy a significant proportion in measuring the innovation capability of universities and colleges in China’s central cities,and the relevant cities are divided into four growth poles,namely mature growth pole,growth pole,growth pole and potential growth pole.Universities in the central cities of southwest,central and South China have seen an obvious increase in innovation capacity in recent years.2.The breadth and intensity of innovation connections centered on Beijing,Shanghai and Guangzhou are the most prominent,and the densely connected areas are highly coexisting with the densely populated areas.When the cut-off threshold is greater than 10,the point degree centrality,middle centrality and proximity centrality are the closest to the actual structure of the innovation connection network.Through the analysis of the relation among the cohesive subgroups,this paper finds that the central city colleges in the "marginal" area are more inclined to establish a strong relation with the central city colleges in the "core" area directly.3.There are almost no regions with weak and effective innovation efficiency in universities in China’s central cities,and the innovation efficiency of universities in most central cities is generally effective and effective,that is,DEA is higher than 0.4.The improvement of the central position of the city node in the innovation network structure has a significant positive effect on the innovation efficiency.4.The increase of local university fund investment will reduce the adjacent university fund investment,university fund investment and human capital investment will have a significant positive impact on the innovation ability of universities,mature and growing universities in human capital into innovation ability is much higher than the average level.According to the conclusion,this paper gives corresponding suggestions to optimize the rational allocation of innovation factors and constantly improve the innovation ability of colleges and universities.We will promote cooperation between universities in China’s central cities and improve the network structure of innovation links among universities.We will promote the building of universities’ alliances in China’s central cities. |