The Study Of Credit Evaluation Facing Small Micro-technology Start-up Enterprises In Henan Province

Under the conditions of domestic economy rapid development and reform policies continue to deepen,the enterprises which produce high standards,high-tech products more and more welcomed by the market,so the small micro-technology start-up enterprises which have these characteristics are flourish in recent years,The Scale and number of them has been rapid growth,They have promoted high-quality and high-speed development of the national economy during the twelve five and thirteen five.Information technology is changing with each passing day,The credit mode and links between commercial banks,venture capital firms,other financial institutions and small micro-technology start-up enterprises becomes more convenient and durable.Relative to large and medium-sized enterprises,as the small micro-technology start-up enterprises have a greater difference in the organizational structure,staff capacity and quality,business management and financial level,resistance to internal and external risks.and the existing credit evaluation systems and models are main facing the large and medium-sized enterprises,the characteristics of the small micro-technology start-ups can not be reflected,therefore,it is not apply.This paper aims at the characteristics and credit status of small micro-technology start-up enterprises in Henan Province to explore and study the methods and models that are suitable for their credit evaluation,and provide scientific and accurate credit evaluation basis for credit information demanders.After careful study and learn the new and old theories and research results ofcredit evaluation of enterprises in domestic and foreign,this paper learns from the credit evaluation methods and models which are more recognized in the academic field.Based on the characteristics and credit status of small micro-technology enterprises in Henan Province,this paper put forward the scientific method and model which is suitable for its credit evaluation.This paper mainly builds up the index system of credit evaluation from the eight aspects of enterprise growth,operation,profitability,debt service,innovation,quality,competitiveness and credit status,there are a total of thirty-three indicator variables.After screening and dimension reduction,this paper makes a detailed explanation of the remaining index variables.This paper main uses the factor analysis to filter irrelevant index variables,so as to improve the rationality and operability of the index system and model.After deleting the relevant nine variables,this paper finally retain 25 index variables.On the basis of this and faces the credit status of 100 small micro-technology start-up enterprises in Henan Province,this paper respectively use BP neural network and Logistic regression to empirical analysis.Based on the empirical results obtained from the model,this paper generalizes the empirical conclusions and corresponding policy suggestions.