中文摘要：

运用复合系统协调度模型,计算出中国29个地区的知识密集型产业的协同度,并进行地区分类。然后通过建立回归模型对影响知识密集型产业协同度的因素进行实证分析,经验研究结果发现人均GDP、教育水平对协同度的影响为正,产业结构、工业规模与协同度分别为“倒U曲线”和“正U曲线”的关系。

英文摘要：

This paper uses the complex synergetic model to calculate the synergetic degree of knowledge-intensive industries in 29 re- gions 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 relation- ship between industrial scale and the degree of synergy presents ＂positive U curve＂ ; and industrial scale is the most important factor affecting the synergetic degree.