Exploration of Rural Supply Chain Finance Mode in Shandong Province and Credit Risk Warning in the “Internet+” Environment

Purpose - This paper combines financial ecology theory, network operation principle, and supply chain management theory to study the “Internet +” environment to help rural supply chain finance mechanisms. Design/Methodology/Approach - Farmers and small and medium-sized e-commerce enterprises in rural areas are taken as research objects. A large number of explanatory variables were preliminarily screened based on the random forest model. The core explanatory variables were further extracted using the Lasso regression analysis method, and the key factors affecting supply chain financial risks were explored. A Pso-svm model was constructed to give early warning to supply chain finance, and relevant suggestions were put forward to reduce the probability of credit risk. Findings - This paper finds that the rural Internet supply chain finance model can realize the integrated development of Internet finance and agricultural industry chain development in rural areas, and give play to the important role of rural Internet supply chain finance in rural revitalization. Research Implications - Based on household financial demand and the financial supply of the current Internet model, using the Internet, big data, and financial technology for research in Shandong province on the “Internet +” rural financial supply chain supply mode, this study has practical significance in that it analyzed the existence of credit risk, built an effective early warning model, and promotes the steady development of the rural financial supply chain in Shandong province.