Research On Owner’s Credit Risk Evaluation Of Reverse Factoring For Network Freight Platform

With the rapid development of China’s social economy,the contradiction between the demand for funds by upstream and downstream enterprises in the supply chain and the traditional financing and lending methods has become increasingly prominent.On the one hand,traditional bank lending is cumbersome due to its credit review process and cannot quickly meet the needs of enterprises for funds.On the other hand,a large number of small and mediumsized enterprises are unable to obtain bank financing because their credit qualifications do not meet the requirements.Supply chain finance services supported by information technology such as the Internet and big data have been widely promoted.Under the supply chain finance model,various enterprises have carried out supply chain finance services based on different business scenarios.Small and medium-sized enterprises rely on the credit of core enterprises to obtain financing,relieving their liquidity pressures,while core enterprises can also defer the payment period of accounts payable and improve the utilization of their funds.This thesis first delves into the related theoretical system,and summarizes and introduces the theories of scholars studying supply chain finance.Then,taking N Network Freight Platform as the research object,it analyzes the business process of reverse factoring financing carried out by the platform and the risk management methods of the platform.N platform is one of the first enterprises to carry out network freight platform business in China.Since its establishment,it has been based on the platform business to carry out supply chain financial services,among which reverse factoring business is the most core business,which has a positive significance for the platform carriers and the consignors,and also enhances the competitiveness of the platform.However,at present,the platform has not established a systematic credit risk evaluation system for the consignors,which is not conducive to the expansion of the platform’s reverse factoring business.In this regard,based on the business characteristics of N platform and existing references,this thesis selects 14 indicators from four dimensions: consignor basic information,consignor platform stickiness,consignor credit situation,and consignor waybill information,and extracts corresponding data from N platform.Using principal component analysis and Logistic regression analysis models,the data is analyzed to construct a more scientific consignor credit risk evaluation system.At the same time,the prediction effect of the model is verified.The model has a good fitting effect,and through the analysis,it is found that the four dimensions have a more significant impact on the credit risk of N platform’s reverse factoring consignors.Based on the model analysis,this thesis puts forward corresponding optimization measures for the credit risk management of N platform’s reverse factoring consignors,and puts forward corresponding suggestions from the perspectives of consignor credit evaluation system,consignor information management,and multi-channel information integration.This thesis studies the credit risk of consignors in the reverse factoring business of supply chain finance from the perspective of network freight platform,enriching the existing research direction of supply chain finance,and analyzing and discussing the characteristics of N platform’s reverse factoring consignor credit management,which is helpful for N platform to achieve more effective consignor credit risk management.