Research on the Measurement and Dynamic Evolution of Scientific and Technological Innovation Efficiency in Universities

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Yanzhou Ren, Xinyu Wang, Wenseng Wu

Abstract

Colleges is an important part of the national innovation system, scientific and technological innovation in collegesand universities plays an important role in promoting the construction of an innovative country. Based on the data of scientific and technological innovation in universities from 2009 to 2017, a three-stage DEA model is used to estimate the efficiency of scientific and technological innovation in universities, which can eliminate the influence
of external environmental factors and random interference factors. Then, the Bootstrap method is used to correct the efficiency value. The results show that the external environmental factors and random error interferencefactors have a significant impact on the efficiency of scientific and technological innovation in universities; the efficiency of scientific and technological innovation in Universities in different regions is generally not high, the
average efficiency of scientific and technological innovation in 30 provinces and cities has not reached the frontier, and there are great differences among provinces and cities. The efficiency of scientific and technological innovation in universities in the eastern coastal economic complex zone is the highest, while that in the Northwest Economic complex zone is the highest. The value of scientific and technological innovation efficiency is the lowest;
while keeping the output level of scientific and technological innovation unchanged, by improving the management level, the input of innovative elements can be reduced by 35.5% on average, or by maintaining the current input level of elements, the level of innovation output can be increased by 35.5%. Nuclear density estimates show that the efficiency of scientific and technological innovation of universities is in a state of growth, with the northern coast, the central part, the middle reaches of the Yellow River and the Yangtze River. There is obvious polarization in the middle reaches, and the nuclear density curve in the southwest region is right-tailed.

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How to Cite
Yanzhou Ren, Xinyu Wang, Wenseng Wu. (2021). Research on the Measurement and Dynamic Evolution of Scientific and Technological Innovation Efficiency in Universities. CONVERTER, 2021(6), 399-412. Retrieved from https://converter-magazine.info/index.php/converter/article/view/404
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