Author/Authors :
Xia, Cun-Yang School of Public Administration - Dongbei University of Finance and Economics - Dalian, China , Yuan, Ze-Hui Department of Accounting - Liaoning Normal University - Dalian, China , He, Wen-Yu Department of Accounting - Liaoning Normal University - Dalian, China , Zhao, Ju-Hui Department of Accounting - Liaoning Normal University - Dalian, China
Abstract :
This paper uses principal component analysis (PCA) and entropy method to construct the evaluation index system of the scientific
research performance of universities in 31 provinces and cities in China. Based on the traditional DEA model, the development
trend of the scientific research performance of the research objects from 2015 to 2019 is dynamically evaluated by the Malmquist
index method. The results show that the scientific research performance of universities in various regions of China is not ideal, and
the level of scientific research performance is declining. The total factor productivity of scientific research in the central and
western regions is much higher than that in the eastern region. The main factor that hinders the improvement of scientific research
performance is the efficiency of technological progress. Finally, aiming at the existing problems, some feasible suggestions are put
forward to further improve the input-output efficiency of scientific research in universities.
