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Blockchain-Driven Optimal Strategies for Supply Chain Finance Based on a Tripartite Game Model
Indexado
WoS WOS:000901136300001
DOI 10.3390/JTAER17040067
Año 2022
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Applying blockchain to supply chain financing is an effective way to solve the problems of financing difficulties, high financing costs, and slow financing for small and medium-sized enterprises (SMZEs). Using evolutionary game theory, this study constructs a tripartite game model and analyzes the influence of blockchain technology on the evolutionary stability strategies for financial institutions (FIs), core enterprises (CEs), and SMZEs, in which the default losses of CEs and SMZEs are assumed to be dynamic. The results of this study are as follows: (1) When CEs and SMZESs' default losses are lower than some critical value, they tend to break their promises. (2) When accounts receivable are greater than some critical value, CEs cannot repay on time because they can make a relatively large profits from delayed repayment, whereas SMZEs can be constrained to be trustworthy. Finally, the results using numerical simulation show that both relatively large default losses and enough large, trustworthy income sources can make CEs and SMZEs tend to keep their promises; in turn, CEs would be non-paying and the SMZEs tend to be trustworthy for relatively large accounts receivable. The results provide theoretical support for realizing healthy and sustainable development for supply chain finance.

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Disciplinas de Investigación



WOS
Business
Computer Science, Software Engineering
Scopus
Business, Management And Accounting (All)
Computer Science Applications
SciELO
Applied Social Sciences

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Su, Limin - North China Univ Water Resources & Elect Power - China
2 Cao, Yongchao - North China Univ Water Resources & Elect Power - China
3 Li, Huimin - North China Univ Water Resources & Elect Power - China
Henan Key Lab Water Environm Simulat & Treatment - China
4 Tan, Jian - Zhengzhou Univ - China

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Financiamiento



Fuente
National Natural Science Foundation of China
Key Scientific Research Project of Universities in Henan Province
Doctoral Innovation Fund of North China University of Water Resources and Electric Power

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This research was funded by National Natural Science Foundation of China (NO.72271091); Key Scientific Research Project of Universities in Henan Province, (No.23A630009); Doctoral Innovation Fund of North China University of Water Resources and Electric Power.

Muestra la fuente de financiamiento declarada en la publicación.