Rivalry and Learning Among Clustered and Isolated Firms
AbstractIn 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 13066.
Date of creation: 31 Dec 2008
Date of revision:
Industrial Clusters; Industrial Districts; Knowledge Development; Rivalry;
Find related papers by 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, Production Analysis, and Firm Location - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-31 (All new papers)
- NEP-CSE-2009-01-31 (Economics of Strategic Management)
- NEP-GEO-2009-01-31 (Economic Geography)
- NEP-URE-2009-01-31 (Urban & Real Estate Economics)
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