Abstract：This paper uses the complex synergetic model to calculate the synergetic degree of knowledge-intensive industries in 29 regions of China,and made the regional classification.Then it established a regression model to analyze the factors affecting the synergetic degree of knowledge-intensive industries.Empirical results show that per capita GDP and education level have positive influences on the synergetic degree;the relationship between industrial structure and the degree of synergy presents“inverted U curve”,the relationship between industrial scale and the degree of synergy presents“positive U curve”;and industrial scale is the most important factor affecting the synergetic degree
王晓亚,翁国阳. 知识密集型产业协同度及影响因素研究[J]. 中国科技论坛, 2015(11): 47-53.
Wang Xiaoya,Weng Guoyang. Analysis on the Degree of Synergy and the Influencing Factors of Knowledge-Intensive Industries. , 2015(11): 47-53.
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