Research on Credit Risk of Logistics Finance Based on Four-party Game Model
DOI:
https://doi.org/10.54097/fbem.v6i1.2420Keywords:
Logistics finance, Credit risk, Game analysis.Abstract
In the context of the Covid pandemic, which has a significant impact on the global economy and has brought more attention to the improvement and operation of the economic and financial system, the logistics industry is facing great chal-lenges in this pandemic, and in this context, the concept of logistics finance is more well-known. Logistics finance business has been carried out rapidly be-cause of its ability to effectively solve the problem of difficult capital turnover and financing for SMEs. In recent years, the government has introduced a series of economic incentives, logistics finance has played a deep role in regulating the flow of funds and improving the efficiency of capital operation, building a bridge connecting banks, logistics enterprises and financing enterprises to cooperate closely and achieving the goal of win-win situation for all parties. Although lo-gistics finance plays an important role in the process of enterprise financing and generates significant benefits, it also faces potential risks in the process of devel-opment, so the establishment of logistics finance risk prevention system has be-come an urgent requirement for the sustainable development of logistics enter-prises, banks and financing enterprises. Based on the full analysis of credit risk in logistics finance, this paper establishes a game model among logistics finance participants to find out various factors affecting the risk and provide a theoretical basis for the control of risk.
Downloads
References
Onumah G E, Improving Access to Rural Finance through Regulated Warehouse Receipt Systems in Africa [J]. 2003.
David. Biederman.Logistics Financiers [J].The Journal of Commerce, 2004 (4) : 40-42.
Y. Yin, Z. Luo, Y. Fei, Risk Analysis and Measurement in Warehouse Financing[C]. IEEE InternationalConference on E-business Engineering. IEEE Computer Society, 2009.
Sutopo, W., et al. "A buffer stock model to ensure price stabilization and availability of seasonal staple food by empowering producers using warehouse receipt system." (2011): 298-302.
Y. Hu, H. L. Xu, Game analysis of the operation of rural logistics finance "ground financing warehouse" model[J]. Systems Engineering, 2013(5):47-53.
B. Zhao, Research on credit risk management of logistics finance based on game theory [D]. Beijing Foreign Studies University,2017.
X. L. Liu, Research on risk response of logistics finance inventory pledge financing--based on game analysis theory[J]. Technology Economics and Management Research, 2019 (05): 86-90.
Wright J.F. Accounting: Inventory-based lending [J]. Commercial Lending Review, 1988,4(3):97-99.
J.Frye. Collateral Damage, A Source of Systematic Credit Risk [J]. Risk Magazine, 2000,(21):188-203.
J. Coulter, Onumah G, The Role of Warehouse Receipt Systems in Enhanced Commodity Marketing and Rural Livelihoods in Afrrica[J].Food Policy,2002,( 27):319-337
Barsky N. P, Evaluating business risks in the commercial lending decision [J].Commercial Lending Review, 2005, 20(3):3-10.
B. Yang, Construction of logistics financial security risk ontology model based on risk association and machine learning [J]. Safety Science,2020,123.
J. Wu, Research on comprehensive evaluation model of logistics finance risk based on decision tree method [D]. Jiangxi University of Finance and Economics, 2021.
L. Zhang, Study on the risk evaluation model of logistics finance in the vicarious settlement model [D]. University of International Business and Economics, 2017.
L.X. Zheng, Fuzzy comprehensive evaluation of logistics finance risk based on AHP-entropy power method[J]. Journal of Wuzhou College,2021(3):19-27.








