The Research On Evaluation Method Of Regional Financial Ecology

Financial ecology is dynamic equilibrium system which is formed by the interaction between the financial main body, the financial main body and external financial environment.How to develop a good financial ecology in financial crisis and find the opportunity of Chinese financial industry, how to make a scientific and accurate assessment of the regional financial ecology, has become a topic of common concern both in the theory and practice fields. In this context, this dissertation aims at providing a more scientific and more reasonable method to evaluate regional financial ecology.On the basis of a summary and analysis of the current evaluation methods of regional financial ecology, in accordance with the characteristic and evaluation goal in our country, this dissertation uses the comparative analysis method to make some exploration on the method of Chinese regional financial ecology evaluation both in theory and in practice.First, begin with financial ecology theory, the dissertation identifies the characteristic and goal of regional financial ecology evaluation, defines the concept of regional financial ecology and regional financial ecology evaluation. On that basis, the dissertation sets the precondition as that regional financial ecology is a complex giant system, points out the problem in existing each kinds of indexes system, puts forward the region finance ecology indicator system's improvement proposal from the layered angle.Second, the dissertation summarizes and analyses current main methods, points out the application scope and limitations of existing evaluation methods. According to the limitations of present each kind of regional financial ecology evaluation method, this dissertation learns from the theories, the process and the methods in other domains, tries to combine the combination weighting method and neural network model for regional financial ecological comprehensive assessment, and sets up the combined evaluation model based on weighted hierarchical BP neural network.At last, the dissertation makes use of the country financial ecology data of a province to conduct an empirical analysis on the combined evaluation model based on weighted hierarchical BP neural network. The result shows that the combined evaluation model based on weighted hierarchical BP neural network is feasible and effective. Using the financial ecological data of a province in 2008, compared to the existing models, the empirical analysis and comparison shows that the proposed model which is based on weighted hierarchical BP neural network model perform well in differentiation, complementary and consistency is superior to existing regional financial ecological assessment methods, with good applicability and rationality.