中国区域知识溢出网络特征及其影响因素——基于知识密集型产业的实证研究

Characteristics and Influencing Factors of Regional Knowledge Spillovers Networks in China——Empirical Anolysis of Knowledge Intensive Industries

运用社会网络分析和空间计量方法,利用专利引用大数据研判中国知识密集型产业的区域知识溢出网络特征及其影响因素。结果显示:中国区域知识溢出网络呈现出"小世界"网络特征和"中心—外围"结构特征,且以"北京—上海—广东—四川"为顶点的菱形网络结构占据核心位置;三类知识密集型行业的知识溢出网络均呈现不均衡特征,且知识溢出强度存在较大异质性;交通地理、产业关联、制度邻近和文化邻近成为影响区域知识溢出网络的重要因素,且前两个因素的作用较大,而文化邻近的直接影响相对较小。

Using social networks analysis and spatial econometric methods,this paper analyzes the characteristics and influencing factors of regional knowledge spillovers networks in China by using patent citation big data.Results show that,China′s regional knowledge spillovers networks presents the characteristics of″small world″networks and″center periphery″structure,and the diamond networks structure with″Beijing-Shanghai-Guangdong-Sichuan″as the vertex occupies the core position.The regional knowledge spillovers networks of the three types of knowledge intensive industries are unbalanced,and the intensity of knowledge spillovers is heterogeneous.Transportgeography,industry relatedness,institutional proximity and cultural proximity are important factors affecting regional knowledge spillovers networks,and the first two factors play a greater role,while the direct influence of cultural proximity is relatively small.