Research on Credit Risk Assessment of Small and Medium-sized Enterprises by COVID-19 and Supply Chain Finance

Zijia Liu ()
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Zijia Liu: Shandong Normal University, School of Economics

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 1586-1591 from Springer

Abstract: Abstract The global economy has a huge fluctuation, because there was a big shock to industries by COVID-19. In this context, supply chain financing is becoming a convenient and efficient way to help small and medium-sized enterprises(SMEs) take the next step, which is why it is experiencing rapid development in China. Under the influence of this, the credit risk of different sectors has undergone a large change. The research built a credit risk index system of listed SMEs based on COVID-19 and supply chain finance(SCF). With the principal component analysis and logistic model, the credit risk of 100 listed SMEs in China based on default probability was analyzed. Finally, the paper applied the mode to the instance and got the situation of credit risk for other companies. The results show the reasonability and practicability of the evaluation model. This model can identify key factors affecting the credit risk, providing a basis for the credit risk evaluation and control of SMEs in the period of returning to production. The researcher found that this is also a great way to improve the choice of financing for banks and other financial institutions to further cut losses in implementing projects of SCF.

Keywords: Credit Risk; Small and medium-sized enterprises; COVID-19; Supply Chain Finance; Principal Component Analysis; Logistic Regression (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_237

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DOI: 10.2991/978-94-6463-036-7_237

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