Rivalry and Learning Among Clustered and Isolated Firms

Cristina Boari, Guido Fioretti and Vincenza Odorici

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Industrial Clusters; Industrial Districts; Knowledge Development; Rivalry (search for similar items in EconPapers)
JEL-codes: L25 R19 R39 (search for similar items in EconPapers)
Date: 2008-12-31
New Economics Papers: this item is included in nep-cse, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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