• DocumentCode
    2902969
  • Title

    Micro-foundation of Industrial Clusters´ Evolution: Implications from a Simulation Approach

  • Author

    Wang, Tao

  • Author_Institution
    Econ. & Manage. Sch., Beijing Univ. of Technol., Beijing, China
  • fYear
    2011
  • fDate
    17-18 Oct. 2011
  • Firstpage
    37
  • Lastpage
    40
  • Abstract
    Industrial clusters are widely considered as the most remarkably successful developing mode of regional economy. Though, the present literature and conclusions on its evolution are rather confusing. This paper reviews the current literature on industrial clusters from perspectives of bottom-up approaches, in an attempt to revealing the micro-foundations that underpin their evolution. By swarm-simulation approach, which is introduced as an effective approach to describe and experiment evolution of an industrial cluster, this paper argues that firms´ adaptive behaviors are one of the driving forces which push the evolution of industrial clusters. The paper concludes that geographical proximity, social behavior coordination mechanism and government intervention are prerequisites for industrial clusters´ evolution.
  • Keywords
    industrial economics; manufacturing systems; simulation; bottom-up approach; evolution microfoundation; geographical proximity; government intervention; industrial cluster evolution; regional economy; social behavior coordination mechanism; swarm-simulation approach; Computational modeling; Economics; Educational institutions; Games; Government; Industries; evolution; industrial clusters; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1541-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2011.83
  • Filename
    6121083