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Rivalry and Learning Among Clustered and Isolated Firms

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  • Boari, Cristina
  • Fioretti, Guido
  • Odorici, Vincenza

Abstract

In this paper explore the relationships between rivalry and geographical proximity at the very level of contacts between individual firms. In particular, we wish to highlight the influence of geographical proximity on rival identification, on the comparison of their knowledge, and on the consequent elaboration of a strategy. In order to reproduce the interactions between firms, we made use of an agent-based model (ABM) where the strategic choices of rival firms are derived from general assumptions on competitive behavior and learning processes. Aim of the model is to investigate the co-evolution of firms' knowledge, strategies and performances. Substantial empirical evidences claim that firms located in geographical clusters are more likely to learn and innovate than isolated firms.

Suggested Citation

  • Boari, Cristina & Fioretti, Guido & Odorici, Vincenza, 2008. "Rivalry and Learning Among Clustered and Isolated Firms," MPRA Paper 13066, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:13066
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    References listed on IDEAS

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    Cited by:

    1. Roman Martin & Jan Ole Rypestøl, 2018. "Linking content and technology: on the geography of innovation networks in the Bergen media cluster," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 966-989, November.

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    More about this item

    Keywords

    Industrial Clusters; Industrial Districts; Knowledge Development; Rivalry;
    All these keywords.

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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