Empirical Research on the Influencing Factors of the Conversion Efficiency of Scientific and Technological Achievements in Colleges and Universities Based on Tobit Model

By Di, Feng | Kuram ve Uygulamada Egitim Bilimleri, December 2018 | Go to article overview

Empirical Research on the Influencing Factors of the Conversion Efficiency of Scientific and Technological Achievements in Colleges and Universities Based on Tobit Model


Di, Feng, Kuram ve Uygulamada Egitim Bilimleri


(ProQuest: ... denotes formulae omitted.)

Multiple subjects are involved in the complex and systematic process of the conversion of scientific and technological achievements in colleges and universities and each subject will inevitably have a certain impact on the conversion of scientific and technological achievements. At present, the total conversion quantity of scientific and technological achievements in colleges and universities in China continues to increase. About 10,000 scientific and technological achievements in colleges and universities have passed the appraisal every year in China. In 2015, the transaction amount of technology contracts was 983.579 billion yuan. However, the conversion rate of scientific and technological achievements in China is only about 10%, which is much lower than the 40% in developed countries, while the conversion rate of scientific and technological achievements in colleges and universities is even lower (Shao, Fang, Pan & Zhang, 2013; Ge, Song & Wan, 2015).

Although the status quo of unsatisfactory conversion of scientific and technological achievements in China's colleges and universities has attracted the extensive thinking and exploration of many scholars, and some research achievements have been obtained. However, the existing literature is mainly the overall analysis and evaluation of China's colleges and universities and the research conclusions are also relatively general. There are many unsatisfactory situations in the conversion of scientific and technological achievements in China and these problems are more prominent in the central and western regions, which is directly related to some of the problems in the three-key links in the conversion of scientific and technological achievements in China. According to the author's understanding, the conversion chain of scientific and technological achievements can be roughly divided into "donors" (scientific research institutions) that create and provide scientific and technological achievements, "recipients" (material production departments) that receive and materialize scientific and technological achievements and "media" that is responsible for the communication between the above-mentioned "donors" and "recipients". Therefore, in order to better analyze the conversion process of scientific and technological achievements in China's colleges and universities, it is necessary to analyze the conversion efficiency of scientific and technological achievements in China's universities from the four main influencing factors, namely human input, financial input, knowledge input and policy environment.

At present, scholars have carried out a series of studies on this topic. For example, Ge (2015) analyzed the current development trend of the conversion of scientific and technological achievements in China' colleges universities through policy analysis; Fu et al, (2015), Qi (2014) and Ren (2011) analyzed the problems and influencing factors of the conversion of scientific and technological achievements in colleges and universities from the perspective of industrial parks, universities and government; Liu et al., (2014) and Su (2015) discovered the enlightenment on the conversion of scientific and technological achievements in Chinese universities through the study of foreign experience. On the basis of calculating the conversion efficiency of scientific and technological achievements in various universities through the DEA model, this paper uses the panel Tobit model to test the impact of human input, capital investment, knowledge input and policy environment on the conversion efficiency of scientific and technological achievements in China's colleges and universities.

Panel tobit model and selection of influencing factors

Tobit Model

The Tobit model is also called the sample selection model, restricted dependent variable model and is a model in which the dependent variable satisfies the value under certain constraints. …

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