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The Research of Agricultural SMEs Credit Risk Assessment Based on the Supply Chain Finance
- Source :
- E3S Web of Conferences, Vol 275, p 01061 (2021)
- Publication Year :
- 2021
- Publisher :
- EDP Sciences, 2021.
-
Abstract
- Agriculture is a basic industry that supports the construction and development of the national economy and plays an important role in promoting rural revitalization. And in the current post-COVID-19 era, agricultural SMEs have difficulty in obtaining the favours of financial institutions in normal lending due to their weak credit guarantee capabilities and high credit management costs. Difficulty in financing has become a bottleneck problem that plagues the development of enterprises and restricts the development of agricultural modernization. How to evaluate and control its credit risk is not only a major way to solve the financing difficulties of agricultural SMEs, but also the basis for the stable development of supply chain financial services. This paper analyzes three typical financing modes of agricultural SMEs from the perspective of supply chain finance, and takes the agricultural SMEs in the New OTC Market as an example to construct a Logistic model, and uses factor analysis to effectively predict the credit risk of supply chain finance. The results show that the operational efficiency factors, growth factors and related core corporate profitability of agricultural SMEs financing enterprises significantly affect their credit risk. After testing, the model is highly accurate in predicting the financing risks of agricultural SMEs.
- Subjects :
- Finance
business.industry
Supply chain
Control (management)
Bottleneck
Environmental sciences
03 medical and health sciences
0302 clinical medicine
Agriculture
030221 ophthalmology & optometry
Operational efficiency
GE1-350
Profitability index
Business
030217 neurology & neurosurgery
Financial services
Credit risk
Subjects
Details
- ISSN :
- 22671242
- Volume :
- 275
- Database :
- OpenAIRE
- Journal :
- E3S Web of Conferences
- Accession number :
- edsair.doi.dedup.....db424392ce55792a4cd98d6bf3d85d10
- Full Text :
- https://doi.org/10.1051/e3sconf/202127501061