On The Urban Residents’ P2P Online Lending Behavior

P2P lending network is developing very rapidly in recent years through a new Internet financial services model form, it is simply borrowing money lending transactions both through the Internet. The traditional private lending can not meet the demand for microfinance can be met by way of P2 P network lending. Despite the development of P2 P network lending very quickly, but in the P2 P network lending industry, there is more and more problems. Lack of relevant government departments and regulatory overdue borrowers default rate has been higher and other P2 P network lending platform of common and serious problem. Behavior P2 P network lending participants for solving our current P2 P network lending platform in the low success rate loans, borrowing costs and higher default rates overdue outstanding problems better guide the healthy development of P2 P network lending industry, there are certain reference.Based on an overview basis of domestic and foreign borrowing behavior of P2 P network based on the analysis of the history and development of the current development of P2 P network lending, put forward the theory of urban residents P2 P lending behavior of the network and build model assumptions. Study lending behavior factors to select bidders is completed as a model the dependent variable, and the study of the lender requires the borrower to select revenue model as the dependent variable annual interest rate, use a pat on the mortgage network lending platform acquired from real transactions were urban residents P2 P Empirical Study of lending behavior, verify the proposed hypothesis. The empirical analysis shows that the first intermediary trust on the lender’s lending behavior and requirements for benefits most significantly; secondly, the lender lending behavior and requirements of income is also subject to third-party trust significantly affected; again,personal trust propensity for lender lending behavior and requirements for benefits also have a more significant impact; and finally, the loan term has a certain impact on the success rate of borrowing and transaction costs. In this paper, the results drawn from the analysis of the proposed optimization P2 P network lending practices countermeasures and suggestions,recommendations for network participants First, to improve their lending risk awareness,funds lent caution; the second is a careful review of the pre-bid information, and actively protect their own interests; Third, do not be carried away by investing in temporary interests,rational, recommendations P2 P network lending platform of one establishment and operation must comply with national laws and regulations; second is to establish user behavior guarantees good guide mechanism; third is to establish a strict review system; Fourth, the establishment of industry associations, increased supervision.