Evaluation And Influencing Factors Of Scientific And Technological Innovation Efficiency In Yangtze River Economic Belt

Under the macro background of national independent innovation strategy,scientific and technological innovation has become a key factor to optimize regional industrial structure and improve the efficiency of resource allocation.The Yangtze River Economic Belt comprises 9 provinces and 2 municipalities,with the total population and GDP both accounting for 40% of the national total,and the regional area exceeding 20% of the national total.Improving the efficiency of scientific and technological innovation in the Yangtze River Economic Belt is of great significance to achieving high-quality economic development in China.In this paper,science and technology innovation activities are divided into science and technology research and development stage and achievement transformation stage,through the two stages of different science and technology innovation activities to build different index systems,and collect the panel data of relevant indicators from2009 to 2020.The DEA-BCC model and DEA-Malmquist index analysis model were respectively used to make static and dynamic analysis of the innovation efficiency in the second stage of scientific and technological innovation.The Dagum Gini coefficient and the national Geographic information system Arc GIS were used to study the regional differences and spatial distribution of innovation efficiency in 9 provinces and 2 cities in the Yangtze River Economic Belt.Finally,the evaluation index of influencing factors of the two-stage innovation efficiency is constructed,and the Tobit model is used to analyze it,and the related research results are summarized.From the static analysis,in the stage of science and technology research and development,only Anhui Province and Shanghai achieved DEA efficiency among the nine provinces and two cities in the Yangtze River Economic Belt,and the efficiency of science and technology research and innovation in other regions needed to be further strengthened.In the transformation stage,DEA efficiency was not realized in 9provinces and 2 cities,and the main reason was low scale efficiency.From the dynamic analysis,the average value of total factor productivity in the second stage of science and technology innovation in the Yangtze River Economic Belt is lower than 1,indicating that the allocation level of science and technology innovation resources in the region is in a slow decline,and the average value of total factor productivity in the science and technology research and development stage is higher than that in the achievement transformation stage.The main reason for the low total factor productivity in the second stage of science and technology innovation is the low technical progress index in each region.From the analysis of regional differences,the average Gini coefficient in the stage of science and technology research and development is slightly lower than the average of achievement transformation.In the second stage,the average intra-group difference is the lowest in the middle and downstream regions,the average inter-group difference is the lowest in the middle and downstream regions,the average inter-regional difference contribution rate is the highest,and the average contribution rate of supervariable density is the lowest.This paper studies the influencing factors of innovation efficiency in the second stage of science and technology innovation in the Yangtze River Economic Belt,and concludes that the level of economic development,government support and human capital in the stage of science and technology research and development have a positive impact on the improvement of innovation efficiency,among which the level of government support has a significant impact.The economic development level,industrial development level and technological market level have positive and significant influence on the improvement of innovation efficiency.Finally,according to the empirical analysis of the two-stage innovation efficiency,the corresponding countermeasures are proposed for the research and development of science and technology and the transformation of results.Figure 20 Table 32 Reference 98...