Construction Of Evaluation Index System For Regional Industry-university-research Collaborative Innovation Capability And Empirical Analysis

After years of collaborative innovation-oriented wisdom behavior,China's innovation situation emerges a trend of rapid growth with a constantly improving commercialization rate of scientific and technology research findings.It has created economic and social benefits.Although a number of collaborative innovation centers led by universities have been established and the government is vigorously promoting collaborative innovation.However,the gap of regional collaborative innovation level still exists due to the administrative division,industrial competition etc.Under the background of the development trend of innovation and reality,the research on the synergistic innovation ability and existing problem of industry,university and research institutes among regions can help to comprehensively understand the development of the synergistic innovation of industry,university and research institutes in the current region,so that to provide reference for better promoting the synergistic innovation of industry,university and research institutes,and do benefit to the construction of an innovative country.Based on the perspective of technological innovation and the research object of collaborative innovation ability of regional industry,study and research,an evaluation index system was constructed in this paper with the consideration of innovation subjects like university,scientific research institutions,enterprises and governments.The innovation evaluation index system consists of three primary indicators:collaborative environment,collaborative input and collaborative output,as well as seven secondary indicators and 27 tertiary indicators.At the early stage,we sorted out the relevant literature on the connotation and characteristics of industry-university-research collaborative innovation,defined the definition of industry-university-research collaborative innovation,and fully considered the existing research results and the indicators related to the interaction model design between subjects.Ascertaining the ability and difference of production,education and research cooperation among different regions by using the projection pursuit classification model of genetic algorithm and analyzing the collaborative innovation ability of regional production,education and research from the overall,subsystem perspective with the panel data of 30 provinces and municipalities in China from 2012 to 2016,the final measured data results was used to grasp its distribution characteristics by method of spatial autocorrelation and exploit its development trend by method of state transfer matrix.The results turn out that the indicators of collaborative innovation of production,study and research are different;the gap of collaborative innovation between industry,university and research institute is large and small;there is no significant difference between the first level indicators,and the synergistic environment and synergistic output are the main factors affecting the synergy of collaborative innovation;The regional industry-university-research collaborative innovation capability has weak spatial autocorrelation;the development of industry-university-research collaborative innovation capability has improved,but it has not achieved leap-forward developmentFinally,based on the research results,the following three suggestions are proposed:First,go hand in hand to create a "soft environment" for industry-university-research collaborative innovation;secondly,fanning out from a point to an area to enhance the "hard power" of industry-university-research collaborative innovation;thirdly,the Rich First Pushing Those Being Rich Later,then step into a new collaborative innovation stage.