Research on Risk Evolution Game Among Supply Chain Finance Subjects Empowered by Blockchain Technology
Yanping Zhang (),
Dan Chang () and
Feifei Yu ()
Additional contact information
Yanping Zhang: Beijing Jiaotong University
Dan Chang: Beijing Jiaotong University
Feifei Yu: Beijing Jiaotong University
A chapter in LISS 2024, 2025, pp 1065-1081 from Springer
Abstract:
Abstract Small business financing is accompanied by supply chain financial risks, and in-depth research on how to reduce supply chain risks is of great significance to the smooth financing of small and medium-sized enterprises. The characteristics of blockchain technology, such as distributed storage, open and transparent records and data sharing, help supply chain finance operation process transparency Research on the enabling mechanism of blockchain technology and identification of key risk parameters are of guiding significance to reduce the risk of supply chain finance system. This paper focuses on SMEs and commercial banks under the accounts receivable financing mode, constructs a game model of supply chain financial risk evolution before and after blockchain technology empowerment, analyzes the evolutionary equilibrium point of the two sides and its stability, and conducts a sensitivity analysis of the key parameters using Matlab, and finally compares the evolution trend before and after blockchain technology empowerment, so as to validate the degree of blockchain technology empowerment in reducing the risk of supply chain finance.
Keywords: blockchain; supply chain finance, evolutionary game, supply chain finance risk (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-96-9697-0_81
Ordering information: This item can be ordered from
http://www.springer.com/9789819696970
DOI: 10.1007/978-981-96-9697-0_81
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().