The 20 th National Congress of the Communist Party of China proposed accelerating the construction of a strong agricultural country,strengthening agricultural science and technology and equipment support,hastening the modernization of agriculture and the countryside,improving the quality,efficiency,and competitiveness of agriculture.Agriculture is an important pillar industry of the national economy,and small and medium-sized enterprises(SMEs)in agriculture,as an essential force in promoting agricultural development,contributing to farmers’ income growth and rural revitalization.However,compared to other industries,agriculture faces longer production cycles and weaker resistance to natural risks.Additionally,SMEs in agriculture have low value of assets,non-standardized management,imperfect regulatory system,and limited access to traditional financing methods.Supply chain finance provides a new idea and method for solving the financing problem of SMEs in agriculture,but the supply chain involves multiple enterprises and links,and problems such as information asymmetry and credit risk are often prominent.In order to further effectively mitigate credit risks,blockchain technology,as a decentralized,highsecurity,and traceable technology,can realize efficient sharing of supply chain information and establish trust.Therefore,this article will conduct research on the credit risk evaluation of agricultural SMEs supply chain finance based on blockchain.Based on a comprehensive review,this article analyzes the credit risk issues facing agricultural SMEs supply chain finance.The study also identifies points of coupling between blockchain and agricultural SMEs supply chain finance and examines the feasibility of combining credit risk evaluation with blockchain technology in this context.Based on these analyses,a blockchain-based credit risk evaluation index system for supply chain finance of agricultural SMEs was constructed.Using data from 35 agricultural SMEs listed on National Equities Exchange and Quotations and the feasibility of the credit risk index system was tested using a support vector machine(SVM)model.Moreover,On-site visits to Jiangsu Runguo Agricultural Development Co.,Ltd.Targeting the company’s financing pain points,and a blockchain-based supply chain finance platform was designed for agricultural SMEs.Finally,several policy suggestions were proposed to reduce the credit risk of agricultural SMEs.After the above research process,the research conclusions of this article can be summarized as follows:(1)A credit risk evaluation index system for agricultural SMEs supply chain finance has been constructed.This system includes indicators for SMEs,core enterprises,supply chain operations,and blockchain technology.Empirical research demonstrates that this system has certain advantages and can alleviate the financing difficulties of agricultural SMEs to some extent.Compared to the traditional supply chain finance credit risk evaluation index system,integrating the blockchain index system is more beneficial for commercial banks and other financial institutions to manage the credit risk of agricultural SMEs supply chain finance.(2)SVM model is suitable for addressing small sample,non-linear,and high-dimensional pattern recognition problems.Research findings indicate that the overall classification accuracy of the SVM model is high,and the first type error rate is lower,indicating strong compatibility with the credit risk evaluation index system.(3)The credit risk assessment and the blockchain-based supply chain finance platforms are interrelated,and they mutually promote and support the development of the supply chain finance system for SMEs in agriculture.Blockchain-based supply chain finance platform for agricultural SMEs can facilitate smooth,efficient,and convenient financial transactions among enterprises at various nodes in the supply chain.This platform can also enhance communication efficiency,transmit high-quality credit information of core enterprises,and help agricultural SMEs overcome loan and financing challenges.This article takes the real supply chain of agricultural SMEs as the background and conducts research on credit risk evaluation of supply chain finance.The research has theoretical and practical significance,providing a theoretical basis for commercial banks to carry out supply chain finance business for agricultural SMEs,as well as providing strong support and assistance for financing of agricultural SMEs. |