Research On Evaluation And Influencing Factors Of Science And Technology Innovation Efficiency In Anhui Province

With the advent of Knowledge Economy and globalization,innovation has gradually become a decisive factor to improve the comprehensive strength of a country and gain international competitive advantage.At present,China is in a new stage of economic development,scientific and technological innovation has become a key driving force.Anhui Province is the only one that participates in both the integrated development strategy of Yangtze River Delta and the high-quality development strategy of the central region.Therefore,it is very important to enhance its science and technology innovation ability.In view of this,firstly,based on the theory of regional innovation,this paper summarized and commented on the literature of innovation efficiency evaluation and influencing factors.Secondly,the current situation of scientific and technological innovation in Anhui province was analyzed from three aspects: comprehensive scientific and technological innovation ability,input and output level and possible deficiencies.Then,following the principle of index system construction and combined with previous research basis,the efficiency evaluation index system of science and technology innovation efficiency was constructed from the perspective of input and output,and the super-efficiency SBM and Malmquist index model were used to calculate the comprehensive efficiency value and dynamic evolution law of science and technology innovation in Anhui province from 2011 to 2019.Then,Dagum Gini coefficient method and kernel density estimation method were introduced to study its spatial difference and dynamic distribution.In addition,with the help of Tobit regression model,this paper explored the influencing factors of science and technology innovation efficiency in Anhui Province and its cities from a macro perspective.Finally,the research conclusions and countermeasures of this paper are drawn.The main conclusions are as follows:(1)the average efficiency of scientific and technological innovation in Anhui province is only 0.48;and the output shortage in Huainan and Tongling is serious.(2)the total factor productivity index of scientific and technological innovation in Anhui province decreases,mainly caused by insufficient technological progress;81.15% of urban Total factor productivity decline,mostly due to a lack of technological progress,and a small number due to a simultaneous decline in both the technological progress and the technological efficiency index.(3)during the sample period,the regional gap of the overall scientific and technological innovation efficiency in Anhui Province shows a long-term continuous upward trend after a short-term decline,and the difference mainly come from the inter-regional and intra-regional difference Different interactions;regional differences expand and move towards polarization.(4)on the whole,the degree of opening to the outside world,the level of entrepreneurship and industrial structure have a significant positive impact on the improvement of scientific and technological innovation efficiency in Anhui Province,and the level of economic development,government support and human capital have a significant negative impact;From the perspective of cities,in addition to the level of human capital,other factors have a positive impact on the improvement of scientific and technological innovation efficiency in most cities of Anhui Province.Based on conclusions,the following countermeasures are proposed: improve the scientific research level,promote technological progress;strengthen regional collaborative development,narrow the spatial difference of science and technology innovation efficiency,enhance the opening level,strengthen foreign exchanges and cooperation;create a good entrepreneurial atmosphere,stimulate the enterprise independent innovation ability,optimize the industrial structure,construct the good foundation of industry;optimize the government science and technology expenditure allocation,explore the diversified investment mode;optimize the allocation of science and technology innovation talent resources.Figure [13] Table [18] Reference [97]...