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产业集群网络演化中知识转移研究

         

摘要

基于信任与合作博弈构建了产业集群网络演化模型,并建立了知识转移模型,在此基础上,研究了交易关系型产业集群、混合型产业集群以及过度嵌入型产业集群网络演化过程中知识转移特征.模拟分析表明:在此3种产业集群网络演化过程中,交易关系型集群中知识增长速度最高,过度嵌入型集群中知识增长速度最低,而且随着时间的推进产业集群增长速度在降低;通过扩大产业集群网络规模、提高产业集群中行为主体吸收能力以及提高知识转移率,均可提高产业集群知识增长速度;在知识转移率较小时,只有大幅度提高知识转移率,其对产业集群知识增长速度提升效果才明显.%The evolution model of industrial cluster networks is constructed based on trust and cooperation game, and the knowledge transfer model is also constructed. Based on the models, this paper analyzes the characteristics of knowledge transfer in the evolution of under-embedded arm's-length industrial cluster networks, integrated industrial cluster networks and over-embedded industrial cluster networks. Simulations show that, in the process of these three industrial cluster network evolution, the rate of knowledge growth is largest in the under-embedded arm's-length industrial cluster networks, while it is smallest in the over-embedded industrial cluster networks, and it is also reducing over time; the rate of knowledge growth can be improved by expanding the network size of industrial clusters, improving the absorptive capacity of knowledge and knowledge transfer rate. However, when the knowledge transfer rate is small, the increase of knowledge growth rate became apparent only by a substantial increase of knowledge transfer rate.

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