| Micro-enterprises play an increasingly important role in the economy.But because the micro-enterprise financial system is not perfect,the lack of security and other reasons,it is difficult to borrow money from banks and traditional channels,so the problem of small micro-enterprise financing difficult doesn’t be resolved yet.Internet finance has developed rapidly in recent years,P2 P lending platform coming after another market business innovation.P2 P network and other new things provides an opportunity to solve the problem of small micro-enterprise financing.P2 P network lending platform reduce the degree of information asymmetry through the borrower’s information disclosure and offline investigation and other methods.Once the investor expected earnings covering Investors’ capital opportunity costs,transaction costs and risk compensation,the financing needs of small and medium enterprises would be satisfied.But the success rate of small micro-enterprise borrowing still needs to be improved,even if the development of the earlier peer to peer platform,the success rate is only about thirty or forty percent.This paper aims to study the influencing factors of small and micro enterprises to obtain P2 P network borrowing and improve the probability of success of small micro enterprise network loan.This paper will elaborate in the following order: The first chapter introduces the situation and reasons of the financing of small and micro enterprises,and discusses the role of P2 P network lending in alleviating the financing difficulties of small and micro enterprises.And then lists the domestic and foreign P2 P network lending research,and finally put forward the innovation of this article is to add regional variables.The second chapter introduces the relevant theoretical basis of this paper,such as financial long tail theory,financial symbiosis theory and information asymmetry theory.The third chapter introduces the situation and problems of P2 P network borrowing.The fourth chapter chooses "ren ren loan" as the research object,and uses the LocoyPlatform data collector to collect the transaction data of the "ren ren loan" platform from June 2000 to March 2017,and introduces the data source platform and constructs the binary logic model.Through the regression analysis,it is found that the influence of age,real estate and car factors on the success rate of small and medium enterprises P2 P network loan is weak.The following factors can affect the applicant’s interest in borrowing,the borrowing amount,the loan interest rate,the loan term,The number of times is negatively correlated with the success rate of P2 P network loan.The credit rating,educational background,credit line,income and city richness are positively correlated with the success rate of P2 P network loan.Finally,in the fifth chapter to summarize,for small micro-enterprises,P2 P network loan platform and the government should make differences to meet the financing needs of small micro-enterprise,and standardize P2 P network lending platform. |