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The persistence of firms' knowledge base: A quantile approach to Italian data

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Author Info

  • Alessandra Colombelli

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - Université Nice Sophia Antipolis [UNS] - CNRS : UMR6227)

  • Francesco Quatraro

    ()
    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - CNRS : UMR7321 - Université Nice Sophia Antipolis [UNS])

Abstract

The paper investigates the patterns of persistence of innovation and of the properties of firms' knowledge base (KB) across a sample of Italian firms in the period 1998-2006. The analysis draws upon a theoretical representation of knowledge as a collective good, stemming from the recombination of knowledge bits that are fragmented and dispersed across economic agents. On this basis, we derived properties of the KB like the coherence, the cognitive distance and the variety, and investigated their patterns of persistence over time. The empirical analysis is implemented by exploring the autocorrelation structure of such properties within a quantile regression framework. The results suggest that the properties of knowledge are featured by somewhat peculiar patterns as compared to knowledge stock, and that such evidence is also heterogeneous across firms in different quantiles.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number hal-00867132.

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Date of creation: 27 Sep 2013
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Handle: RePEc:hal:wpaper:hal-00867132

Note: View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00867132
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Related research

Keywords: Persistence; Innovation; Knowledge Coherence; Variety; Cognitive Distance; Quantile regression; autocorrelation;

This paper has been announced in the following NEP Reports:

References

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