Comparative Analysis on the Efficiency of Science and Technology Innovation in Chinese Universities Based on DEA_Malmquist and Regression Analysis

Abstract

. Based on the data compiled from scientific and technological statistics of colleges and universities in 2015-2019, this paper measures the transformation efficiency of the scientific and technological achievements of Double First-Class initiative colleges and universities from the micro and macro perspectives. The micro part uses the panel data fixed effect method to carry on the regression analysis to the input-output data of the science and engineering double first-class university and the ordinary university, determines the regression coefficient. Based on the DEA-Malmquist method, the macro part calculates the efficiency and dynamic changes of scientific and technological achievements between "211 and provincial co-construction colleges and universities "and ordinary colleges and universities in 2015-2019. The results show that double-class universities have obvious advantages over ordinary universities in pure technological innovation. Still, the social benefits of ordinary universities are better than those of double-class universities. Based on the research results, this paper puts forward some policy suggestions to optimize the resource allocation system of higher education and promote the close combination of higher education development with technological innovation and industrial structure transformation.