Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry

Author:

Huang Xiaohan1ORCID,Sun Jihong2ORCID,Zhao Xiaoyun3ORCID

Affiliation:

1. School of Business, Shandong University Weihai, Weihai 264209, China

2. Center of High Education, National Institution of Education Science, Beijing 100088, China

3. College of Economics, Qufu Normal University, Rizhao 276800, China

Abstract

Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment.

Funder

Annual Basic Research Foundation Program of the National Institute of Education Science

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference24 articles.

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2. A supply chain finance prime;M. Lamoureux;SCF,2007

3. Modeling of financial supply chain

4. Supply chain finance: a literature review

5. Analysis of three typical models of international SCF;S. Xie;Economic Theory and Business Management,2013

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