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.

Highlights

  • Complexity main reason is that the capital chain is broken. is has caused all sectors of society to pay attention to risk management issues, especially between banks, between enterprises, and between banks and enterprises. e credit risk between the government, banks, and many enterprises should pay attention to it

  • This study introduces a grey correlation model to assess supply chain financial risk, which is exactly in line with the basic characteristics of grey systems, to overcome the difficulty of missing data to the maximum extent

  • A clear risk level of supply chain finance of major listed companies contributes to strengthening the cooperation between upstream and downstream enterprises and financial institutions in this supply chain, which has important practical significance for the development of the whole industry

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Summary

Logistic enterprise Agent

Information with those having less information—the poorly performing party in the transaction will try to obtain the information they need from the other party. Chain Financial Analysis of Household Appliance Industry. In 2017, China’s household appliance industry grew rapidly, and its output value reached 1.70 billion yuan, an increase of 9.8% over the same period of the previous year (data from Zhongyikang Data). 5. Empirical Analysis of SCF Credit Risk e credit risk evaluation index system was constructed; the degree of correlation between 2012 and 2016 was calculated using the grey correlation model; and the ranking and changes of each enterprise were obtained. Haier Group seized the opportunity of the “Internet+” era to create business models such as “Internet + industry,” “Internet + commerce,” “Internet + finance,” “Internet + residence,” and “Internet + culture.” It owns Haier Industrial Finance Company, which provides supply chain financial services, and is involved in food and agriculture, medical and health, green finance, intelligent manufacturing, and shared consumption industries. The sample data of 15 listed companies in the household

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