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

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  • Xiaohan Huang
  • Jihong Sun
  • Xiaoyun Zhao
  • Baogui Xin

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.

Suggested Citation

  • Xiaohan Huang & Jihong Sun & Xiaoyun Zhao & Baogui Xin, 2021. "Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry," Complexity, Hindawi, vol. 2021, pages 1-12, June.
    • Handle: RePEc:hin:complx:9981019
    DOI: 10.1155/2021/9981019
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    Cited by:

    1. Kong, Lingxuan & Zheng, Ge & Brintrup, Alexandra, 2024. "A federated machine learning approach for order-level risk prediction in Supply Chain Financing," International Journal of Production Economics, Elsevier, vol. 268(C).
    2. Marcin Nowak & Aleksandra Rabczun & Paweł Łopatka, 2021. "Impact of Electrification on African Development-Analysis with Using Grey Systems Theory," Energies, MDPI, vol. 14(16), pages 1-24, August.
    3. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.

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