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

  • Kun Wang
  • He Xu
  • Xuanming Ji
  • Yingkai TangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1191)


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.


Absorptive capacity Knowledge spillovers China regional innovation capability 



This research was funded by the National Natural Science Foundation of China (No. 71072066), Sichuan University (No. SKGT201602, No. 2018HHF-42), and the Department of Science and Technology of Sichuan Province (No. 2018JY0594).


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China
  2. 2.School of Management Science and EngineeringCentral University of Finance and EconomicsBeijingPeople’s Republic of China
  3. 3.Finance and Economic CollegeJimei UniversityXiamenPeople’s Republic of China

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