Credit Risk Evaluation of SMEs Based on Supply Chain Financing

Wei NIE, Yueliang SU

Abstract


Supply Chain Financing (SCF) provides a new way for small and medium-sized enterprises (SMEs) in China to solve their financing problems, and of course it comes with credit risk. This article first studies the characteristics of SCF and present an index system for credit risk evaluation. Then logistic regression method is used to evaluate the credit risk of SMEs, and the effect of SCF financing model in improving the financing environment of SMEs is confirmed by results.


Keywords


Fundamental Research Funds for the Central Universities (2015ZKYJZX02); Guangzhou Financial Services Innovation and Risk Management Research Base.

Full Text:

PDF

References


Hofmann, E. (2105). Supply chain finance: Some conceptual insights. Logistik Management, 7,203-214.

Hu, H. Q., Zhang, L., & Zhang, D. H. (2012). Research on SMEs credit risk assessment from the perspective of supply chain finance- A comparative study on the SVM model and BP model. Managenet Review, 24(11), 70-80.

Huang, J., & Zhao, T. Z. (2009). Supply chain finance credit risk forecast base on plain bayes. Logistic Sci-Tech, 32(8), 134-137.

Kong, Y. Y., Wang, H. S., Zhu, K., & Li, S. (2010). The application of fuzzy influence diagram method in evaluation of supply chain finance credit risk. Mathematics in Practice and Theory, 40(21), 80-86.

Wang, Q. (2010). On credit risk evaluation system of supply chain finance based on decision tree. New Finance, (4), 38-41.




DOI: http://dx.doi.org/10.3968/n

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 Management Science and Engineering



Share us to:   

Reminder

  • We are currently accepting submissions via email only.

    The registration and online submission functions have been disabled.

    Please send your manuscripts to mse@cscanada.net，or mse@cscanada.org  for consideration.

    We look forward to receiving your work.

 


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures