摘要
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.
出处
《中国科技论坛》
CSSCI
北大核心
2015年第11期41-46,共6页
Forum on Science and Technology in China
基金
国家自然科学基金面上项目"产业集群的国际间转移与中国企业对外直接投资中的产业集群链式效应研究"(70873019)
国家自然科学基金面上项目"新型城镇化约束与引导下的产业转移的模式
路径与组织研究"(71473037)
关键词
产业集群
升级模式
知识演化
小世界网络
仿真
Industrial cluster
Pattern of upgrading
Knowledge evolution
Small world network
Simulation
