From the perspective of enterprise survival,this paper mainly discusses the operation situation of P2 P platform,the development level of P2 P industry,and how macroeconomic environment affects the operation life of P2 P platform.Specifically,this paper first uses AHP method to construct the index research system,then constructs the hierarchical regression model as the analysis framework of this paper,then establishes the multiple linear regression equation to analyze,and finally draws some conclusions of practical significance and guidance significance for the current development of P2 P platform and government supervision.In the part of theoretical research,this paper constructs the model of selecting cadres.The model research shows that when studying the factors affecting the selection of cadres,we can construct a hierarchical structure model,then construct a pair comparison matrix,calculate the combination weight vector of the factors affecting the target problem,and finally make the optimal choice.In the empirical research part,this paper chooses 1777 P2 P platform operation data,industry data and macroeconomic data from January 2016 to April 2018 to study the operation life of P2 P platform,uses AHP method to process data indicators,establishes hierarchical regression model,and then constructs multiple linear regression equation to explore the impact of index data on the operation life of P2 P platform.Empirical research shows that: online time,industry comprehensive interest rate one month before platform death,accumulated net capital inflow one month before platform death,PPI one month before platform death have a negative impact on the operation life of P2 P platform;M2 one month before platform death,average borrowing period of industry one month before platform death,accumulated loan balance and average of industry one month before platform death.CPI one month before the platform died and PMI one month before the platform died had a positive impact on the service life of P2 P platform.From the impact of factors,on the onehand,online time,M2 one month before platform death,and average borrowing period of industry one month before platform death have a greater impact on the operation life of P2 P platform.On the other hand,other factors also have an impact on the operation life of P2 P platform,but the impact is relatively small.From the impact of factors,on the one hand,online time,M2 one month before platform death,and average borrowing period of industry one month before platform death have a greater impact on the operation life of P2 P platform.On the other hand,other factors also have an impact on the operation life of P2 P platform,but the impact is relatively small.Based on the above conclusions,the paper proposes that in order to prolong the operation life of P2 P platform,the platform should not only focus on national monetary policy,but also accelerate product innovation and market layout when the central bank implements expansionary monetary policy;pay attention to product lending period,and do a good job in product risk control;moreover,because the earlier the P2 P platform goes online,the longer its operation life and the lower its mortality.The focus of government supervision should be the newly established P2 P platform. |