知识扩散、集群创新与集群网络的扩张——基于物联网产业的研究

Research on Knowledge Diffusion,Cluster Innovation and the Expansion of Cluster Network——Based on the Industry of Internet of Things

基于网络结构和优先连接模型,构建了集群网络扩张中的知识扩散、集群创新模型,并经数值模拟发现:集群网络结构随着转移因子的变化而变化,并在转移因子δ∈[0.3,0.9]时基本保持稳定;集群的效率与集群的集聚程度正相关;在集群形成中期培育领军企业能有效影响集群的网络结构和收益。研究证明,提高知识溢出效率、优化集群网络结构、适时培育领军企业是提高产业集群平均收益行之有效的办法。

Based on network structure and preferential attachment model, this paper builds a model with knowledge exchange and cluster innovation in the process of cluster network expansion. Numerical simulation results show that： the structure of the cluster network changes with transferability factor, and remain stable when transferability factor ranges between 0. 3 and 0. 9 ; there is positive correlation between the efficiency of the cluster and the clustering degree; fostering leaders in the midterm is an effective way to affect the structure of the cluster network and the earnings. In addition, enhancing the efficiency of knowledge diffusion, optimizing the structure of the cluster network and fostering leaders in good time are effective ways to improve the average earnings.