Abstract: With the gradual increase of research funding support for universities in China, the research achievements of universities have attracted widespread attention from society. In this context, developing appropriate evaluation tools to assess the research efficiency of universities has become an urgent issue. This study used non parametric statistical methods, including Data Envelopment Analysis (DEA) and Malmquist Index, to comprehensively evaluate the panel data of scientific research input-output data of universities in Hubei Province, aiming to analyze the static and dynamic changes in their scientific research efficiency. The research results show that the universities in Hubei Province that participated in the evaluation performed well overall in terms of research efficiency, but there is still room for improvement. In depth analysis reveals that slow technological progress is a key obstacle to improving the efficiency of scientific research in universities. Therefore, in order to improve scientific research efficiency and optimize the allocation of scientific research resources, universities should pay more attention to investment in scientific research innovation and technological progress.

 

Keywords: Scientific research innovation; Output efficiency; Evaluate