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Three-Party Stochastic Evolutionary Game Analysis of Supply Chain Finance Based on Blockchain Technology

Author

Listed:
  • Qingfeng Zhu

    (Shandong Key Laboratory of Blockchain Finance, School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Rui Zong

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Mengqi Xu

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

In the process of accounts receivable financing under supply chain finance, the phenomenon of accounts receivable forgery and default have caused great pressure on the supervision of financial institutions. We consider the integration of blockchain technology with a supply chain finance platform around the fraudulent default phenomenon in supply chain finance receivables financing and construct a three-party stochastic evolutionary game model among financial institutions, core enterprises, and Micro, Small, and Medium Enterprises (MSMEs). Firstly, we use I t o ^ ’s stochastic differential equation theory to analyze the conditions for the stability of the behavior of game subjects. Secondly, we use numerical simulations to quantitatively analyze the impact of the regulatory strength of financial institutions, the information sharing of the blockchain platform, and the change of incentive parameters on the strategy choice of game subjects. Through the above analysis, we conclude that the information-sharing incentive coefficient promotes financial institutions to choose to connect to the blockchain platform, and the information-sharing risk coefficient and the regulatory intensity have the opposite effect on the blockchain platform construction. Meanwhile, the allocation of incentive shares has a significant influence on the core enterprises. Finally, we give priorities and directions for adjusting the relevant parameters to provide recommendations for financial institutions to regulate the financing process more effectively.

Suggested Citation

  • Qingfeng Zhu & Rui Zong & Mengqi Xu, 2023. "Three-Party Stochastic Evolutionary Game Analysis of Supply Chain Finance Based on Blockchain Technology," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3084-:d:1061780
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    References listed on IDEAS

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    1. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    2. Guillen, Gonzalo & Badell, Mariana & Puigjaner, Luis, 2007. "A holistic framework for short-term supply chain management integrating production and corporate financial planning," International Journal of Production Economics, Elsevier, vol. 106(1), pages 288-306, March.
    3. Aichih (Jasmine) Chang & Nesreen El-Rayes & Jim Shi, 2022. "Blockchain Technology for Supply Chain Management: A Comprehensive Review," FinTech, MDPI, vol. 1(2), pages 1-15, June.
    4. Valentina Gatteschi & Fabrizio Lamberti & Claudio Demartini & Chiara Pranteda & Víctor Santamaría, 2018. "Blockchain and Smart Contracts for Insurance: Is the Technology Mature Enough?," Future Internet, MDPI, vol. 10(2), pages 1-16, February.
    5. Clint O. Hurley, 2018. "MSME competitiveness in small island economies: a comparative systematic review of the literature from the past 24 years," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 30(9-10), pages 1027-1068, October.
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