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A Model for Measuring the Efficiency of Technological Innovation Based on Knowledge Fermentation——Take Hubei Province as an example
Xiang Yu, Yuying Men, Yuanyuan Liu, Fang Li
Knowledge Management Forum ›› 2023, Vol. 8 ›› Issue (6) : 540-553.
PDF(1842 KB)
PDF(1842 KB)
A Model for Measuring the Efficiency of Technological Innovation Based on Knowledge Fermentation——Take Hubei Province as an example
[Objective/Significance] The measurement of science and technology innovation efficiency is helpful to understand the actual situation of urban science and technology innovation in Hubei Province, and provide theoretical support and practical guidance for local economic policies. [Method/Process] Taking 12 cities in Hubei Province as research objects, the super-efficiency SBM-Malmquist model was used to estimate the technological innovation efficiency and total factor productivity of each city from 2003 to 2019, and the influencing factors were explored with OLS regression. Based on the theory of knowledge fermentation, factors such as opening to the outside world, industrial structure, economic development level, informatization level and human capital were combined to show how they jointly affect the efficiency of science and technology innovation in Hubei Province. [Result/Conclusion] The results showed that: from 2003 to 2019, the overall trend of science and technology innovation efficiency in Hubei Province was developing well; There are obvious regional differences in the efficiency of scientific and technological innovation. The total factor productivity of scientific and technological innovation activities is on the rise, which mainly originates from scientific and progress. The influence of opening to the outside world, the level of economic development and human capital on the efficiency of science and technology innovation in Hubei Province is significantly positively correlated. Based on the research conclusions, the paper puts forward some policy suggestions such as improving the environment for scientific and technological innovation, strengthening the introduction of talents, and improving the level of opening up.
scientific and technological innovation / theory of knowledge fermentation / ultra-efficient SBM model / OLS model / influencing factors
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俞 享：数据处理及论文撰写；
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