Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

Evolutionary Game Analysis of Technology Finance Model in Underdeveloped Areas Based on Blockchain

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  • @INPROCEEDINGS{10.4108/eai.1-9-2023.2338717,
        author={Mingxin  Yang and Hui  Shen},
        title={Evolutionary Game Analysis of Technology Finance Model in Underdeveloped Areas Based on Blockchain},
        proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICPDI},
        year={2023},
        month={11},
        keywords={technology finance; evolutionary game; blockchain; numerical simulation},
        doi={10.4108/eai.1-9-2023.2338717}
    }
    
  • Mingxin Yang
    Hui Shen
    Year: 2023
    Evolutionary Game Analysis of Technology Finance Model in Underdeveloped Areas Based on Blockchain
    ICPDI
    EAI
    DOI: 10.4108/eai.1-9-2023.2338717
Mingxin Yang1, Hui Shen1,*
  • 1: Hebei University of Science and Technology
*Contact email: 917149287@qq.com

Abstract

The traditional model of technology finance, especially in underdeveloped areas, the model of technology finance has some limitations, such as high risk, imperfect system and lack of government intervention. This paper proposes blockchain technology to solve this problem and verify its effectiveness. Firstly, with the help of evolutionary game method, we construct a tripartite game model of credit among the demanders, the suppliers and intermediary institutions in technology finance, and study the influence of various factors on technology and finance model by numerical simulation with Matlab software, including, application degree of blockchain technology, punishment intensity and reward mechanism. The results show that the blockchain technology has a positive trend of maintaining credit business and achieving system stability, increasing supervision efficiency and reducing system risk.