创新合作网络是产业集群内部主体为适应创新复杂性的一种自组织涌现,创新合作网络结构决定了网络功能并进而影响发生于网络上的集群知识扩散过程。建立基于创新合作网络的知识扩散模型,在具有不同拓扑结构特征的规则网络、随机网络、小世界网络和无标度网络上,运用仿真方法研究集群知识扩散规律。将知识扩散效率与创新合作关系距离相联系,考虑知识的全局扩散效应。研究结果表明,具有无标度特征的创新合作网络能最大限度地提升集群知识扩散深度、知识扩散速度、整体知识水平增长效率以及具有最高的知识资源配置效率,创新合作网络中存在空间聚集的集群主体间倾向于具有相近的知识水平。最后给出促进最优创新合作网络安排的相关政策建议。
The innovation cooperation network is a kind of self-organization and emergence of industry clusters for adapting to innovation complexity.The structure of innovation cooperation network determines cooperation network functions and then influences the knowledge diffusion process of industry clusters.By building the knowledge diffusion model based on innovation cooperation network,we study on the industry clusters knowledge diffusion rules on different networks,such as regular network,stochastic network,small world network and scale-free network by simulations.The study connects knowledge diffusion efficiency to the distance of innovation cooperation relationship and considers the whole-network diffusion effects.The results demonstrate that the scale-free network has a most fast knowledge diffusion rate,highest average knowledge level and highest allocation efficiency of knowledge resource.The space clustering bodies in the innovation cooperation network tend to have similar level of knowledge.At last,we present some policy proposals on how to facilitate best innovation cooperation network arrangements.