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作者:

Wang, Tao (Wang, Tao.) | Zhang, Yongan (Zhang, Yongan.) (学者:张永安) | Jiang, Wei (Jiang, Wei.)

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摘要:

This paper argues that the phenomenon of industrial clusters is a kind of complex and dynamic process. With the heterogeneity of firms involved in clusters and their open connections with external environment being reasonably justified, the paper thinks that the evolution of industrial clusters should be observed and studied by the approach of computer simulation. Some factors from inside or outside, local or global, work together to drive the growth and decline of industrial clusters. Some implications are drawn through the analysis of the results by simulations designed on java-swarm platform. Suggestions are proposed accordingly.

关键词:

Evolution Industrial Cluster Simulation Swarm

作者机构:

  • [ 1 ] [Wang, Tao]Beijing Univ Technol, Econ & Management Sch, Beijing, Peoples R China
  • [ 2 ] [Zhang, Yongan]Beijing Univ Technol, Econ & Management Sch, Beijing, Peoples R China
  • [ 3 ] [Jiang, Wei]Beijing Univ Technol, Econ & Management Sch, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Tao]Beijing Univ Technol, Econ & Management Sch, Beijing, Peoples R China

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来源 :

MEMS, NANO AND SMART SYSTEMS, PTS 1-6

ISSN: 1022-6680

年份: 2012

卷: 403-408

页码: 5308-5312

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 2

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