本文首先界定了产业集群创新升级的两种模式——STI模式与DUI模式,并对两种模式下创新绩效的差别进行了探讨。然后,基于小世界网络理论,构建了产业集群创新升级的数理模型,通过数值仿真模拟产业集群创新升级过程,研究了不同升级模式与创新绩效之间的关系,以期为中国产业集群创新升级的最优模式选择提供一定的思路借鉴。
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 numeri- cal 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.