Abstract
The universities’ scientific and technological activities have become the key link of science and technology and economy, and the core of promoting the national innovation capability and competitiveness. To achieve high-quality development of China’s science and technology, it is of great significance to measure the efficiency of universities’ scientific and technological activities accurately and explore their regional differences. Based on the innovation value chain, we construct a two-stage efficiency measure index system of universities’ scientific and technological activity, and then according to the universities’ statistical data in China from 2010 to 2017, by taking provincial universities as the research object, we exploit a two-stage network DEA model with shared input to measure the provincial efficiency of universities’ scientific and technological activities in China; what is more, we explore the provincial differences in efficiency of universities’ scientific and technological activities. Finally, we extract the influencing factors on the efficiency of universities’ scientific and technological activities using the dynamic panel data model. The results show that there are serious problems in the transformation between knowledge output and results in the universities’ scientific and technological activities. The scientific and technological activities of regional universities in China are not balanced. For provincial universities’ efficiency of scientific and technological activities, there exist great differences among different time and space, stages, and resource utilization modes. The endogenous factors such as policy system and technology service are much more important factors.
Highlights
With the introduction of the innovation-driven development strategy, technological innovation has become another important engine for country’s economic development
From the perspective of innovation value chain, according to the universities’ statistical data in China from 2010 to 2017, we exploit a DEA model with shared input to measure the efficiency of R&D and achievement transformation of universities’ scientific and technological activities to analyze the regional difference and identify the influencing factors using GMM
It is true that more scientific and technological exchanges and project cooperation have promoted the scientific and technological achievements, and it is true that the regions with better regional economic development have the ability to implement the transformation of results
Summary
With the introduction of the innovation-driven development strategy, technological innovation has become another important engine for country’s economic development. Compared with the commercialization and industrialization rate of 60%–80% in developed countries, the impetus of economic development has not yet been shown by the scientific and technological progress of universities in China, and there is a huge waste of the elements of scientific and technological development; the separation of knowledge output and achievement transformation is serious, which directly affects the utilization efficiency of scientific and technological resources in universities, as well as the transformation of economic development mode and the strategic deployment of building an innovative country [4]. Erefore, accurately grasping the efficiency of scientific and technological activities in China’s universities, identifying the regional differences and important key factors, which affect the efficiency of universities’ scientific and technological activities, and generating “deep knowledge” to guide or assist decision-making have become a great theoretical and practical significance to promote the transformation of scientific and technological achievements into real productive forces and accelerate their commercialization and industrialization Compared with the commercialization and industrialization rate of 60%–80% in developed countries, the impetus of economic development has not yet been shown by the scientific and technological progress of universities in China, and there is a huge waste of the elements of scientific and technological development; the separation of knowledge output and achievement transformation is serious, which directly affects the utilization efficiency of scientific and technological resources in universities, as well as the transformation of economic development mode and the strategic deployment of building an innovative country [4]. erefore, accurately grasping the efficiency of scientific and technological activities in China’s universities, identifying the regional differences and important key factors, which affect the efficiency of universities’ scientific and technological activities, and generating “deep knowledge” to guide or assist decision-making have become a great theoretical and practical significance to promote the transformation of scientific and technological achievements into real productive forces and accelerate their commercialization and industrialization
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