The Impact of Patterns of Industrial Clusters’ Upgrading on Innovation Performance from the Perspective of Knowledge Evolution:A Simulation Research Based on Small World Network
ZhouHaibo,Hu Hanhui
School of Economics and Management,Southeast University,Nanjing 211189,China
Abstract:In the era of knowledge economy,the nature of industrial clusters’ innovative upgrading is the innovation and diffusion of knowledge,and different patterns of knowledge learning can make a difference.From the perspective of knowledge evolution,this paper first identified two patterns of industrial clusters’ innovative upgrading:Science-Technology-Innovation and innovating by Doing,Using and Interacting,and then compared their performance.Based on small world network,it built a mathematical model.By numerical simulation,studied the relationships between upgrading patterns and innovation performance,and then provided a reference for the alternative of optimal pattern of industrial clusters upgrading
周海波,胡汉辉. 知识演化视角下产业集群升级模式对于创新绩效的影响分析[J]. 中国科技论坛, 2015(11): 41-46.
ZhouHaibo,Hu Hanhui. The Impact of Patterns of Industrial Clusters’ Upgrading on Innovation Performance from the Perspective of Knowledge Evolution:A Simulation Research Based on Small World Network. , 2015(11): 41-46.
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