• DocumentCode
    3396826
  • Title

    Evolution characteristics of agricultural industrial clusters: A perspective from the small world network model

  • Author

    Li, Xiaotao

  • Author_Institution
    Sch. of Econ. & Manage., Wuhan Polytech. Univ., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    Agricultural industrial clusters exhibit the characteristics of complex system, and the features of its evolution reveal those of complex system evolution. Therefore, the complex system evolution model for agricultural industrial clusters with geographical attachment preference related to geographic locations may lender a comparatively sound interpretation of the internal mechanism of the evolution. The paper studies the evolution of agricultural industrial cluster on the basis of the small world network model, and points out that due attention should be paid to the roles of government, non-market factors and non-technology factors in the evolution of the cluster.
  • Keywords
    Agriculture; Automation; Conference management; Electronic mail; Industrial economics; Iterative algorithms; Local government; Mechatronics; Position measurement; agricultural products; evolution; industrial cluster; small world network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7653-4
  • Type

    conf

  • DOI
    10.1109/ICINDMA.2010.5538298
  • Filename
    5538298