摘要
本文旨在从复杂性系统的角度出发,运用元胞自动机模型和计算辅助语言,以产业集群规模演化为研究对象,选取进入资金、集群市场结构、地域环境、企业风险偏好、企业竞合关系等为主要控制参量,建立CA扩展模型,模拟不同关键控制参量变化对产业集群规模的影响,并基于实验结果,提出相关的政策建议。
The article＇s purpose is to study the evolution of industrial clusters＇ scale from the views of complex--system theories. It uses cellular automaton to imitate evolution of industrial clusters based on entrance capital, market structure, risk predilection, environment, and dependence of companies. Through observing the results of experiment; it shows the different key factors＇ effect on the industrial clusters＇ scale. Then based on it some suggestions, are put forward.
出处
《中国管理科学》
CSSCI
2007年第1期130-135,共6页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70573072)
关键词
产业集群
规模
演化
元胞自动机
industrial clusters
scale
evolution
cellular automaton
