Subject Behavior And Innovation Efficiency Evaluation Of Industrial Technology Innovation Strategic Alliance

In today's world,collaborative innovation has become a prominent feature of national scientific and technological innovation activities.Industrial technology innovation strategic alliance has become the main force to promote regional innovation network,how to further enhance the performance of the Union to play its role in the national economic restructuring and industrial upgrading to promote the integration of technology to promote innovation and accelerate the industrialization of innovation and enhance the core industry Competitiveness,and enhance enterprises,universities,research institutions,innovative kinetic energy,is the focus of current theoretical research tasks.In this paper,we use the methods of network analysis,simulation analysis,econometric analysis,rough set theory and so on from the four aspects of subject heterogeneity,subject joining behavior,subject investment behavior and subject innovation behavior.The main body of the industrial technology innovation strategy alliance and the efficiency of innovation launched an analysis of the full text of the main contents are as follows:Firstly,it reveals the path of innovation policy evolution of industrial technology innovation alliance,establishes the analysis frame of innovation subject and policy evolution,introduces the theory of rooted theory and policy measurement,and analyzes the strategy of industrial technology innovation strategic alliance in China.Qualitative and quantitative analysis,combined with the coordination of complex system model,empirical analysis of China's industrial technology innovation strategic alliance policy system and the level of co-evolution of subsystems.The results show that the open-codified co-word network of China's industrial technology innovation strategic alliance shows an obvious scale-free social network characteristic after adopting the improved connection weighting process,and the overall structure shows a certain degree of relative dispersion and local aggregation And the synergy degree between the policy tool subsystem and the target subsystem at the national and the provincial level all show monotonous promotion with the passage of time.At the same time,the author points out that China's industrial technology innovation strategic alliance policy has obvious tendency of,And the speed of ascension shows a trend of increasing first and then slowing down.The coordination degree of the provincial alliance policy subsystem is obviously faster than the national level.Secondly,it explores the motivations of enterprises,universities and scientific research institutions to take part in the alliance,and clarify the factors that influence their decision-making behavior.By constructing the model and case analysis,it reveals that the main body of innovation The Relationship between the Decision-making Behavior of Union and the Expected Earnings of Membership.The results show that: as a leader or followers,the enterprises are more concerned about the alliance formation costs,technology innovation results distribution mechanism,and universities and research institutions are more concerned about the project funding and technology innovation into the way of transformation;The lower the risk appetite,the higher the proportion of revenue sharing in the alliance,the lower the rate of increase of the expected return,the lower the risk preference of the innovation subject,such as the alliance policy set,the innovation subject membership fee and the alliance operation cost.The higher the risk appetite,the higher the share of revenue in the alliance,the higher the expected increase in the rate of increase in income,the type of subject in the Union is more suitable as the main body of innovation as an alliance followers;Lead constructor.Thirdly,the three-stage least squares method(3SLS)is used to find out the relationship between the size of the coalition and the input mechanism of the main body.The Dynamic Change of the Relationship between the Scale of Industrial Technology Innovation Alliance and the Main Input in Short-term and Long-term.The results show that: the size of the alliance has a dual effect on the main input,that is,when the coalition development from economies of scale to economies of scale changes,the expansion of the size of the main input of the obvious "crowding out";when the alliance development in the scope of economies of scale,The scale of the alliance has obvious "magnet effect" on the input of the main body.The main body of the industrial technology innovation strategic alliance has the structure screening and the quantity regulation function to the alliance scale.The main investment of the industrial technology innovation strategic alliance has obvious on the alliance scale in the spot and long term.And the effect of the alliance's main body investment on the scale of the alliance is long-term convergence at 0.27.The size of the industrial technology innovation strategic alliance will have a relatively weak and significant positive impact on the main investment of the alliance,and this In the long run,the impact of the scale of industrial technology innovation strategic alliance on the main input of the alliance is divided into two stages: in the early stage of coalition operation,the size of the coalition(coalition size)Expansion of the main input has a significant role in promoting and upgrading;in the latter part of the Union operation,the Union expansion of the main input although the role of promoting,but also showed a stronger inhibitory effect.Finally,by introducing the rough set theory method,reconstruct the evaluation index system of alliance main body innovation efficiency,and establish the empirical analysis frame of scientific evaluation alliance main body innovation efficiency.In the view of input-output analysis,firstly,rough set theory is used to analyze and analyze the input-output and output-factors of alliance main body,and the innovation input and output index of the alliance are measured in the whole efficiency index system.The main innovation efficiency index of the main body is separated,and the super efficiency DEA model is used to evaluate the innovation efficiency of the main body of the alliance.The results show that there are similar mechanism of "two-factor theory" between the five innovation input indexes and four indexes with high overall coverage coverage: the number of R&D personnel,R&D When the number of R&D personnel and R&D expenditures are at a low level,the innovation output of enterprises is usually at a low level,and the R&D expenditure is the main factor.But the number of R&D personnel and research and development funding at a high level,enterprise innovation output may not be able to achieve a high level,or even output inefficient situation,and when the proportion of the total number of R&D,R&D per capita funding,R&D The proportion of the total income is at a certain level,in order to ensure that the number of R&D personnel and R&D funds are at a high level,and the level of innovation output of the enterprises is also high;the main innovation efficiency of the industrial technology innovation strategic alliance at the national level is higher than that of the local industrial technology innovation strategic alliance Innovation efficiency.