An Empirical Analysis of the Impact of Absorptive Capacity and Spillover Effects on China’s Regional Innovation Capability

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Abstract

This paper selects the relevant data of 30 provinces and cities in China from 2006 to 2016, and constructs the seven-dimensional absorptive capacity index evaluation system by entropy method. Based on the endogenous growth theory, the knowledge output model of spillover effect is further constructed to test the effect of knowledge spillover on regional innovation capability, and then empirically analyze the impact of absorptive capacity on regional innovation capability through knowledge spillover. The results show that knowledge spillovers promote innovation output, and absorptive capacity has positively promoted regional innovation capability through knowledge spillover. Based on this, this paper puts forward some targeted suggestions from the aspects of increasing R&D expenditures, improving the innovation system and promoting the transformation of state-owned enterprises.

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Wang, K., Xu, H., Ji, X., & Tang, Y. (2021). An Empirical Analysis of the Impact of Absorptive Capacity and Spillover Effects on China’s Regional Innovation Capability. In Advances in Intelligent Systems and Computing (Vol. 1191 AISC, pp. 285–300). Springer. https://doi.org/10.1007/978-3-030-49889-4_24

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