Research on Present Situation and Influencing Factors of University RD Input-Output Performance Based on the Data Envelopment Analysis Method

摘要

Although the scale of China's R&D investment can be said considerable in recent years, the R&D of universities in China is insufficient, therefore how to improve the comprehensive efficiency of R&D is of vital importance. In this article, the data envelopment analysis (DEA) method is implemented to calculate the 2009-2018 scientific and technological input-output of 58 universities in China. It is concluded that most universities are non-DEA-effective, we conduct research from the factors affecting scale efficiency and technical efficiency improvement. Based on the calculated results of the DEA method and the fixed basis ratio method, we conclude that the existing investment redundancy and insufficient people input in universities affect the improvement of R&D scale efficiency. In addition, by referring to the elastic theory formula in economics, we analyze the sensitivity of R&D output to input, and we find that the sensitivity analysis of output to input is ignored and the transformation method of scientific and technological achievements is simple, which affect the improvement of technical efficiency. Through the analysis of the influencing factors of university R&D input and output performance, we provide a reference for seeking ways to improve the comprehensive performance of R&D.