Research On The Financing Credit System Of Small And Medium Real Estate Enterprises Based On Blockchain

Small and medium-sized real estate enterprises are faced with the problems of difficulty in financing,expensive financing,and high financing risks,which may lead to the disconnection of the company’s capital chain,debt default,and bankruptcy reorganization.The reason is the difficulty of credit evaluation due to information asymmetry,and the poor adaptability of the existing credit system.Therefore,this study aims at small and medium-sized real estate enterprises,constructs a credit evaluation index system and model,designs a blockchain financing credit platform for small and medium-sized real estate enterprises,and develops blockchain smart contracts,for the aim to reconstruct existing credit systems and break the information asymmetry.Based on the data of 8 listed small and medium real estate enterprises from 2016 to 2020,this research constructs a credit evaluation index system,including three first-level indicators,nine second-level indicators,and fifteen third-level indicators.On this basis,this study selects FAHP as the subjective weighting method,and the entropy weighting method as the objective weighting method,and establishes a credit evaluation model for small and medium-sized real estate enterprises based on the set pair analysis method.The enterprise’s five-element subtraction set is compared,and the credit ranking is carried out based on this.At the same time,this study uses the actual rating results to test the credit evaluation model constructed in this paper.Finally,this research designs and implements a blockchain-based financing credit platform for small and medium real estate enterprises,and designs smart contracts for uploading credit information and querying credit information through Solidity language.The results of the function,performance and security test of the platform show that the blockchain financing credit platform for small and medium-sized real estate enterprises can achieve the expected functions,reduce the information asymmetry in the credit evaluation,ensure the security and non-tampering of information,achieve the credit information sharing,save the time cost and transaction cost of credit evaluation.The contributions of this study are: First,it proposes a credit system for small and medium-sized real estate companies to ensure the comprehensiveness of credit evaluation.Second,it builds a credit evaluation model based on set-pair analysis,which enriches the application scenarios of set-pair analysis.Third,it integrates the blockchain idea into the credit evaluation process,and successfully develops the blockchain financing credit platform.