Abstract
This paper explores the scientific & technological innovation performance of world-class universities in China from 2014 to 2019, based on the super-efficiency DEA model and Malmquist index. Then we provide a novel five-dimensional analysis framework to research influencing factors of their S&T innovation efficiency with the Tobit-DEA model. The results show that 36.6% of the sample universities are DEA efficient, and their efficiency varies according to their type and location. Besides, the technical efficiency index of universities is relatively high and the total factor productivity is volatile, which are reflected in the ability of transforming scientific research achievements into practical productivity. From the perspective of dynamic analysis, the sample universities expand slowly in the frontier of S&T innovation efficiency. In addition, the S&T innovation performance is highly related to the input quality and matching structure of scientific research elements, government relevance, and industry-academia-research collaboration level. Among these main factors, the high proportion of full-time teachers with senior titles, reasonable resource allocation structure and government support have significant positive impact, whereas the number of participants in international academic has negative impact.
Highlights
Innovation is the source of development power and the strategic support for the construction of modern economic system
This paper has attempted to improve the research work from the following aspects: (1) take the input-output efficiency of scientific and technological (S&T) innovation as the basic analysis method, build a performance evaluation index system that highlights the quality of scientific research output and the economic and social benefits of S&T innovation achievements; (2) evaluate the S&T innovation performance of the world-class universities of China by the super-efficient data envelopment analysis (DEA) model and Malmquist index evaluation method from both static and dynamic perspectives; (3) construct a five dimensional influencing factors method, and use Tobit-DEA model to make an empirical analysis of the influencing factors of S&T innovation in universities
ANALYSIS OF INFLUENCING FACTORS :FIVEDIMENSIONAL INFLUENCING FACTORS METHOD According to the knowledge production function and other related theories [52], based on the summary of relevant empirical research literature, this paper has proposed a fivedimension influencing factors method to explain the S&T innovation performance of universities
Summary
Innovation is the source of development power and the strategic support for the construction of modern economic system. The construction of world-class universities has been institutionalized as a long-term policy of many countries, including developing countries such as China In September 2017, the Ministry of Education, the Ministry of Finance and the National Development &Reform Commission of China issued the notice on publishing the list of world-class universities under construction of China and forty-two universities were selected. We evaluate the S&T innovation performance of world-class universities. This empirical research section is divided into two parts. We calculate the annual Malmquist index and its decompositions of S&T innovation performance of world-class universities from 2014 to 2019.
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