Availability Analysis Of Small And Micro Enterprises' Financing On P2P Platforms

In recent years,the emergence of P2 P lending industry has opened a new financing channel for small and micro enterprises,which better meets the characteristics of small and micro enterprises' loan demand of "short,small,urgent and frequent".However,the success rate of online loans of small and micro enterprises still needs to be improved.According to statistics,the overall success rate of loans of small and micro enterprises on P2 P online lending platforms,which developed earlier,is only 30% to 40% at present.Therefore,it is very important to improve the success rate of loans of small and micro enterprises on P2 P platforms to solve the financing difficulties of small and micro enterprises.In this paper,starting from the status quo,using the web crawler technology to collect the small micro enterprise trade data on all credit platform,and the small micro enterprise loan success as the dependent variable,the disclosure of the platform of small micro enterprise loan characteristic information as independent variables,for small micro enterprise in P2 P platform to study the factors influencing the success of borrowing,for small micro enterprise raise the availability of P2 P network credit financing to provide the reference.Based on borrowers,platform security and borrowing the attribute view of three small micro enterprise group on all credit platform in real trading data sorting out 18 information index,and the 18 indicators into the underlying information,basic information,job information,credit information fall into five categories,historical information,and using maximum likelihood method to screen the forward 13 explanatory variables.This article first has carried on the descriptive statistical analysis,to all the sample data followed by using the binary Logistic regression to the training sample has carried on the empirical analysis,and successfully build a small micro enterprise credit the success rate of prediction model,the total amount of borrowing is obtained,the company size,the influence of the number of times of overdue loan success is negative,education,real estate,the company is located,the influence of the number of times of successful loan borrowing successful conclusion with a positive.Combined with the results of empirical analysis,this paper finds that to improve the availability of online loan financing for small and micro enterprises on P2 P platforms,it needs to start from two aspects.Firstly,start from small and micro enterprises.Firstly,upload as many certification materials as possible,make timely repayment,and strive to strengthen the internal construction of enterprises,and disclose information on time to improve the reputation of enterprises.Secondly,we can adjust our financing strategies according to the forecast results of the financing forecasting model.Secondly,starting from P2 P platform,we should first strengthen the audit and establish a platform for sharing honest information among various platforms.Secondly,a more scientific credit rating mechanism should be established.At last,we can quickly select the loan users of small and micro enterprises according to the financing prediction model,and put forward some reasonable improvement and guidance of loan combination for small and micro enterprises with low loan success rate.