A spatial panel econometrics analysis on industrial R&D, university-industry cooperation and innovation performance

Abstract

Abstract: Using the industrial panel data on China's provinces, the author estimates the R&D stocks based on perpetual inventory method, and employs spatial panel econometrics regression models to positively analyze the contributions of industrial R&D investment, university R&D investment, and university-industry cooperation investment to the enterprise's innovation performance. The results show that classical OLS method without including the regional spatial dependence and heterogeneity may lead based results. The study of spatial panel econometric models including the spatial dependence and heterogeneity show that there exists obvious spatial autocorrelation and independence for Chinese patent and new product innovation, and there is spatial adjacent local cluster effects for patent innovation and spatial adjacent local spillover effects for new product innovation. The R&D investment of capital and manpower of enterprise have significant contributions to innovation performance while impact of university R&D investment is not obvious, while university-industry cooperation together with human capital do have obvious contributions. The conclusions are of great significance to promote synergetic innovation capability.

Key words: R&D stock, R&D elasticity, university R&D, university-industry cooperation, spatial spillovers

CLC Number:

F403.8

Wu Yuming. A spatial panel econometrics analysis on industrial R&D, university-industry cooperation and innovation performance[J]. Science Research Management, 2015, 36(4): 118-127.

References

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