Abstract
We established a model based on the “Malmquist index” to evaluate the dynamic performance of scientific and technological innovation in seven Chinese universities, which included five categories: changes in pure technical efficiency, changes in production technology, changes in scale efficiency, changes in organizational management performance, and changes in comprehensive efficiency. Seven domestic first-class universities were studied, and empirical analysis was performed based on data related to their scientific and technological innovation during three time periods (2013-2014, 2014-2015, and 2015-2016). Our results demonstrated that the contribution rate for each index was different for each university across the three time periods, and that Chinese universities is gradually transitioning from resource allocation to technical efficiency. In this paper, we explored the transformation from effect to efficiency and static to dynamic in the evaluation of the scientific and technological output of colleges and universities, and constructed systematic and unique multi-evaluation system for the scientific and technological output of universities.
Highlights
There are several methods for evaluating the scientific research of colleges and universities, and these methods are production systems that typically have multiple inputs and multiple outputs [1]
In 2015-2016, the pure technology efficiency change index (PTECI) of Tsinghua University (0.990) and Fudan University (0.841) were less than 1, and the PTECI was greater than 1 for the other five universities (PKU: 1.088, ZJU: 1.027, SJTU: 1.021, NJU: 1.067, and SCU: 1.130). These results indicate that the PTECI of Peking University is gradually improving, the PTECIs of Tsinghua University and Fudan University are both trending downward, the PTECIs of Zhejiang University and Nanjing University trended upward-downward-upward from 2013-2016, and the PTECIs of Shanghai Jiaotong University and Sichuan University continued to improve
In 2015-2016, the organization management performance change index (OMPCI) of Tsinghua University (0.992) and Fudan University (0.825) were less than 1, and the OMPCIs of the remaining five universities (PKU: 1.099, ZJU: 1.018, SJTU: 1.001, NJU: 1.001, and SCU: 1.169) were all greater than 1. These results demonstrate that the OMPCIs of Shanghai Jiaotong University and Sichuan University are continuously improving, the OMPCIs of Peking University is gradually improving, the OMPCIs of Tsinghua University and Fudan University improved in the early stage, but decreased later on, and the OMPCIs of Zhejiang University and Nanjing University trended upward-downward-upward
Summary
There are several methods for evaluating the scientific research of colleges and universities, and these methods are production systems that typically have multiple inputs and multiple outputs [1]. The Malmquist index was first proposed by Malmquist [22] and is used to analyze the total growth factor of a decisionmaking unit (DMU) It seeks to identify the changing properties related to the analysis methods of dynamic efficiency based on the data of a DMU within a certain time span. In recent years, both domestic and international scholars have begun to combine the Malmquist index with DEA theory, resulting in a production efficiency index that has been widely used in performance evaluation research [23]–[25].
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