Study About Credit Rating System Of Technology-based SMEs Based On Fuzzy DEA Method

Technology-based SMEs plays gradually important role for driving science innovation,promoting growth, providing employment and maintaining stability. The characteristics ofTechnology-based SMEs are relatively higher technology, marketing and management risks andrelatively small total assets with little available tangible assets. This result in most of financingagent like commercial banks is reluctant to provide loan on credit based the operation principlesafety. Currently, the financing business of large enterprise provided by financing agent hasformed “Red Sea” marketing, and the benefits growth is very limited. However, the financingbusiness of SMEs has been becoming “Blue Sea” marketing, financing agent like commercialbanks is intended to expand financing business of SMEs so as to optimize credit structure andincrease profiting capability. This result in the paradox is formed between SMES andcommercial bank. Consequently, it is necessary to establish professional credit rating system ofTechnology-based SMEs so as to solve this paradox and achieve a win-win for both.This paper have summarized domestic and overseas related literatures about SMEs creditevaluation and analyzed general and credit features of our country SMEs according to basicenterprise credit rating theory, and finally, established a SMEs credit rating indicator system byapplying advanced system comprehensive method (Fuzzy DEA). Subsequently,38Technology-based SMEs in SME board of Shenzhen stock exchange were selected as sample tomake empirical analysis for the established assessment system. Based on the empirical result, theassessing process of credit rating was replenished to evaluation system, at last, the SMEs creditrating system with stronger operation and applicability and reliability was obtained.Targeted on above research content and applying the combining research method ofliterature retrieval and field research, quantitative and qualitative analysis, theoretical andempirical analysis, this paper has discussed systematically the credit assessment problem ofSMEs, and finally, formed innovation on two aspects. First of all, the first time to introducefuzzy DEA method to Technology-based SMEs credit rating, this method can enhance theobjectivity and accuracy of credit evaluation result, and applying MATLAB program to make thewhole assessing process easy. Additionally, the established SMEs credit assessment system hasintroduced R&D input rate and enterprise life cycle stage these two variables that reflectenterprise dynamic change indicator, this embodies that financing agent should pay attention toenterprise dynamic change during making enterprise credit assessment.