Research On Tech SMEs' Credit Evaluation Index System From Guarantee Company Perspective

At present, China's economy is at a strategy transformation stage of “stabilizing growth, adjusting structure, promoting reform”. In the process of industrial structure and promoting economic transformation, the development of science and technology enterprises and financial innovation are important boost power. The development of small and medium-sized technology-based enterprises(Tech SMEs) becomes an key strategy task in our country. Enterprise's growth will be impossible without the financial support, fund demand is arised from the rapid growth of tech SMEs In recent years, guarantee financing, the most common financing way of SMEs, lacks regulation and expands rapidly which make it risk large credit default. In addition, tech SMEs hardly get money through guarantee financing because of its characteristics of "light asset" and imperfect credit system in our country. Now it is hard time to establish a In order to adapt to the fast growth of small and mid-sized enterprise capital demand, specification in order to guarantee industry development, also need to establish a set of guarantee financing evaluation index system of tech SMEs in order to adapt to the rapid growing fund of Tech SMEs as well as regulate guarantee industry.This paper combed the practice and theory basis of establishing tech SMEs' guarantee financing evaluation index system. It states some theories solving tech SMEs financing difficulties such as credit rating theory, relationship lending and technologyfinance theory. In practice, summary of current situation for tech SMEs' guarantee financing was drawed from background of tech SMEs' development, technologyfinance's situation and guarantee industry's future. Finally this paper puts forward an index system of 5 first-grade indicators, 11 second-grade and 23 third-grade indicators form the perspective of “soft information”, current situation of guarantee companies and tech SMEs' characters, in which AHP was applied and two case studies was conducted to demonstrate the index system.