Evaluating Efficiency And Optimizating Structure Reseatch Of Financial And Technology Input Of Jiangsu Province

Financial and technology input plays an important role on three main source of R&D input for quite a long time. But China’s local government financial and technology input still have some problems, on the one hand, the increasing rate of government financial and technology input is far behind the government revenue growth; on the other hand, there are a large number of repeated construction and financial and technology input problems such as unreasonable structure, these phenomena expose that management mechanism is not perfect and the efficiency of using funds for science and technology is not high and norm,ect.In this paper, financial and technology input as the research object, through establishing financial and technology input evaluation efficiency and optimization model, analyzing the efficiency of input and distribution structure of financial technology, providing guidance for the decision-making departments of government and reference for the research theory of financial and technology input. The main contents and results of this paper are as follows:(1) Based on constructing indices of efficiency evaluation of the financial and technology input, considering input and output indicators may not be homogeneous,constructing financial and technology input efficiency evaluation model based on DEA model.(2) The simultaneous optimization of background value and the initial value of the GM(1,1) model and grey relational analysis method are applied to the grey linear programming model, in order to construct the financial investment structure optimization model. Firstly,because the GM(1,1) model is a gray exponential model deviation, so the GM(1,1)method is adopted to simultaneously optimize the background value and the initial value to improve the prediction accuracy, and on the basis of get the improved gray interval prediction model,predicting the upper and lower bounds of the indictors. Then, using the method of grey correlation analysis to determine the investment structure variable grey correlation degree of the output of science and technology as the contribution rate of grey number. Finally,constructing the grey linear programming model to optimize the structure of financial investment in science and technology.(3) Based on the construction of the efficiency evaluation and optimization model, carry on the empirical analysis of Jiangsu province. The empirical results show that: the efficiency of fiscal expenditure on science and technology in Jiangsu province showed a rising trend, but there are still ineffective decision making unit, the reason is that input and output is not in the best matching state. In view of this, optimizating the structure of financial and technology input of Jiangsu province, promoting the input and output to achieve the best matching state,after optimization of the structure of financial and technology input of Jiangsu Province in the future, the structure will gradually improve.