Journal of Chaohu University ›› 2024, Vol. 26 ›› Issue (3): 57-65.doi: 10.12152/j.issn.1672-2868.2024.03.007

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Can Sci-tech Innovation Re-lending be Converted to a Long-term Monetary Policy Tool: An Analysis Based on Evolutionary Game

ZHANG Hai-jun:1. School of Economics and Law,Chaohu University;2. School of Economics,Fuyang Normal University  WANG Yi-xiang:School of Economics and Law,Chaohu University   

  1. 1. School of Economics and Law, Chaohu University, Chaohu Anhui 238024; 2. School of Economics, Fuyang Normal University, Fuyang Anhui 236037
  • Received:2024-05-03 Online:2024-05-25 Published:2024-11-20

Abstract: Sci-tech innovation re-lending helps guide financial institutions to increase financial support for sci-tech enterprises and leverage social funds to promote technological innovation. This paper explores the necessity and effectiveness of using sci-tech innovation re-lending as a long-term monetary policy tool by constructing a tripartite evolutionary game model involving "bank financial institutions—non-bank financial institutions—enterprises". The study finds that the evolutionary game among the three parties tends to stabilize in a state where financial institutions do not enter the tech-financial market, and enterprises opt not to innovate, thereby "depleting" the innovative vitality of sci-tech enterprises. As an external factor, sci-tech innovation re-lending can alter the stability of the tripartite game in the tech-financial market and stimulate the innovation enthusiasm of sci-tech enterprises. Therefore, it is highly necessary to use it as a long-term monetary policy tool. The sci-tech innovation re-lending policy has incentive effects, constraint effects, indirect effects, and interest rate effects, which can drive both bank and non-bank financial institutions to innovate in tech-financial services, thereby meeting the financing needs of scitech enterprises and encouraging their innovation. Based on the study's conclusions, the paper suggests expanding the scope of support, issuing quotas based on the lending categories, strengthening supervision, and enhancing policy coordination.

Key words: sci-tech innovation re-lending, sci-tech innovation, long-term monetary policy tool, evolutionary game

CLC Number: 

  • F830.5