基于网络视角的产业集群知识演化研究

Research on knowledge evolution in industrial cluster based on network

当前知识已经成为产业集群乃至区域经济发展中的重要资源,关系着集群的生存与发展。作为集群知识演化的平台,集群网络的结构影响着知识扩散与创新的绩效。文章尝试将社会网络分析方法和数值仿真技术相结合,并应用于对产业集群知识演化的研究中。在对南京大明路汽车销售与服务产业集群的实证分析中,对现实的集群网络进行了直观描述和数值分析。在此基础上,通过对集群知识演化过程的建模和仿真,对比分析了现实集群网络与重连、随机两个模拟网络上知识扩散和创新的绩效,并提出了现实集群网络进一步优化的方向。

Knowledge has been one of the most important resources for industrial clusters even regional economy and effect the survival and development of industrial clusters. Industrial cluster network is the context of knowledge evolution. So the structure influences the efficiency of knowledge diffusion and innovation. Social Network Analysis and simulation are applied in this paper. When we try to research the network of Daminglu automobile sale ＆ service industrial cluster, we picture the real network and do some numerical analysis. Using the model of knowledge evolution and simulations, we compare the results and demonstrate of Daminglu network can be optimized.