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Learning, Innovation and Growth Within Interconected Clusters: An Agent-Based Approach

In: Growth and Innovation of Competitive Regions

Author

Listed:
  • Mario A. Maggioni

    (Catholic University of Milan)

  • Stefano N. Roncari

    (EGGSIST LTD (IT consulting firm based in Hong Kong and Bejing, PRC))

Abstract

The aim of the paper is to model the interaction between firms within a territory using an agent-based model (Lane, 1993; Axelrod, 1997; Luna and Stefansson, 2000) in order to observe the emergence of spatial clustering, the evolution of different learning processes arising from the interaction between firms, and the development of innovative behaviour within interconnected clusters.

Suggested Citation

  • Mario A. Maggioni & Stefano N. Roncari, 2009. "Learning, Innovation and Growth Within Interconected Clusters: An Agent-Based Approach," Advances in Spatial Science, in: Ugo Fratesi & Lanfranco Senn (ed.), Growth and Innovation of Competitive Regions, pages 117-144, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-70924-4_6
    DOI: 10.1007/978-3-540-70924-4_6
    as

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