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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

Evolution Industrial Cluster Simulation Swarm

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

MEMS, NANO AND SMART SYSTEMS, PTS 1-6

ISSN: 1022-6680

Year: 2012

Volume: 403-408

Page: 5308-5312

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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