Measurement and evaluation of science and technology innovation efficiency

Abstract

Data Envelopment Analysis (DEA) is a quantitative analysis method to evaluate the relative effectiveness of comparable units of the same type based on multiple input indicators and multiple output indicators by using the method of linear programming. DEA method and its model have been widely used in different industries and departments since they were proposed by famous American operational research experts a. Charnes and W. W. Cooper in 1978. DEA method is used to measure and evaluate the efficiency of science and technology innovation in 31 provinces of China. The results show that among the 31 provinces, 14 regions are DEA efficient, 6 are weak DEA efficient, and 11 are DEA invalid. It is found that the unreasonable structure of input factors of science and technology innovation is the key factor affecting the efficiency of science and technology innovation in China's provinces. In view of this, this paper puts forward some policy suggestions, such as optimizing the allocation structure of input elements of science and technology innovation, promoting the deep integration of industry, University and research, speeding up the transformation and application of scientific and technological achievements, and strengthening the construction of scientific and technological innovation talent team.