The Research On Innovation Effect Of Enterprises Under The Structure Of Innovation Value Chain

After four decades of reform and opening up,China has become the world's leading manufacturing country.However,the overall profit margin of China's manufacturing industry is low and it is at the middle and lower end of the global value chain.How to play an innovation-driven role and promote high-quality development of manufacturing industry in the new era has become an important issue worthy of attention.Based on the theory of endogenous growth,this paper takes traditional manufacturing enterprises as research samples to explore the differences of innovation effects caused by innovation investment,knowledge spillover and innovation organizational factors from the perspective of innovation value chain structure.The specific work is as follows: on the basis of the existing definition of innovation value chain,the definition of innovation value chain structure is put forward according to the different difficulty of innovation,and the long-chain-medium-chain-short-chain structure model is put forward.According to the theory of endogenous growth,a theoretical model of enterprise innovation effect is constructed,and three core elements of technology investment,knowledge growth and innovation organization are determined.From the perspective of the structure of innovation value chain,a mathematical model is constructed to analyze the correlation between the structure of innovation value chain and the effect of enterprise innovation.The mechanism model of the influence of the core elements in the cluster network at different levels is constructed,and the innovation effect theory and empirical analysis are carried out at the industry level,regional level and enterprise organization level respectively.Research shows that:(1)The effect of innovation in economic development has gradually increased.The theoretical analysis shows that in addition to the classical variables such as human capital investment,production investment and technology foundation,ETIA index is an important endogenous variable in the endogenous growth model.This variable has a negative correlation in the short term and a positive correlation in the long term with the output of enterprises,and the specific correlation is affected by the IVC structure.The empirical analysis shows that the panel data of listed companies are used to verify the theoretical hypothesis that ETIA index has a correlation with enterprise output,and the threshold model shows the phased characteristics of ETIA index under the influence of IVC structure,which is consistent with the theoretical model analysis.The manufacturing industry as a whole has begun to have the characteristics of long-chain structure IVC,but the role of high-level R & D personnel is still weak.Enterprises still focus on the track development of technology application and re innovation,and the breakthrough development conditions are not clear.There is a division of labor and cooperation among different industries,and high-tech enterprises play the role of new knowledge production center in cluster network.The overall level of traditional manufacturing enterprises is still in the middle and low-end of the value chain,and the number of core enterprises in the industry is small.However,in the deepening of the reform,the industrial structure has been gradually upgraded,from the low-end to the high-end,some enterprises have begun to reflect the characteristics of technology-intensive enterprises.(2)The accumulation of knowledge spillover effect of enterprises forms the difference of regional economic development.Theoretical research shows that the structure of innovation value chain has a threshold effect on enterprise innovation,and the knowledge spillover of core enterprises has a better internal effect,which is manifested as the advantage of knowledge stock and can promote the optimization of internal enterprise structure.However,non-core enterprises have more external effects,which are manifested as the advantage of knowledge density,which can improve the overall competitiveness of network knowledge.At the same time,because of the dynamic characteristics of cluster network development,non-core enterprise knowledge overflow has a secondary effect.Empirical results show that knowledge density has threshold effect,knowledge spillover has negative effect under the first threshold,and positive effect between the two thresholds and beyond the second threshold.Contrary to the threshold effect sign of ETIA index,enterprises with high investment level have higher knowledge spillover effect although their innovation efficiency is lower in the five-year period.The result of knowledge spillover shows that more than six layers of enterprise resources are concentrated in the southeast coast of China,and the regional economic development is unbalanced.The results of economic zone division show that the coastal area is better than the area along the river,and the area along the river is better than the inland area.However,no matter what kind of division,the data of northeast China and northwest China show a double low state,which indicates that not only the core enterprises with high level are lacking,but also the non-core enterprises are insufficient,and the regional cluster network may have the problems of incomplete structure and imperfect innovation ecosystem.(3)Under different organizational structure of enterprise innovation,the gap of knowledge output is obvious.The innovation organizational structure of non core enterprises is divided into leading,internalizing and parallel organizational structures.Nine innovation reference schemes are determined for three innovation value chain structures to simulate the growth effect of non core enterprises at the sub micro level.Among the nine non-core enterprise innovation reference schemes,the simulation results show that: in the process of using learning,nine schemes have different effects,short chain innovation leading innovation dominates,while long chain innovation parallel dominates in knowledge increment,but the peak period is too long.In the process of exploratory learning,the stability of organizational structure plays a decisive role.Based on the results of simulation analysis,the paper gives some suggestions on the optimal path for the innovation development of non-core enterprises.