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

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  • Alessandra Colombelli

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Francesco Quatraro

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

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 with knowledge stock, and that such evidence is also heterogeneous across firms in different quantiles.

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  • Alessandra Colombelli & Francesco Quatraro, 2014. "The persistence of firms' knowledge base: a quantile approach to Italian data," Post-Print hal-01070566, HAL.
    • Handle: RePEc:hal:journl:hal-01070566
    DOI: 10.1080/10438599.2013.871164
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    Cited by:

    1. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    2. Francesco Quatraro, 2016. "Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 513-539, March.
    3. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2021. "Firms’ growth, green gazelles and eco-innovation: evidence from a sample of European firms," Small Business Economics, Springer, vol. 56(4), pages 1721-1738, April.
    4. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2015. "Eco-innovation and firm growth: Do green gazelles run faster? Microeconometric evidence from a sample of European firms," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201516, University of Turin.
    5. Rammer, Christian & Schubert, Torben, 2016. "Concentration on the few? R&D and innovation in German firms 2001 to 2013," ZEW Discussion Papers 16-005, ZEW - Leibniz Centre for European Economic Research.
    6. Alejandro Bello-Pintado & Felipe Berrutti & Carlos Bianchi & Pablo Blanchard, 2019. "Knowledge searching strategies, testing for complementarities on the innovation behavior of the firm," Documentos de Trabajo (working papers) 19-18, Instituto de Economía - IECON.
    7. Jackie Krafft & Francesco Quatraro & Pier Saviotti, 2014. "Knowledge characteristics and the dynamics of technological alliances in pharmaceuticals: empirical evidence from Europe, US and Japan," Journal of Evolutionary Economics, Springer, vol. 24(3), pages 587-622, July.
    8. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2015. "Eco-innovation and Firm Growth: Do Green Gazelles Run Faster? Microeconometric Evidence from a Sample of European Firms. WWWforEurope Working Paper No. 88," WIFO Studies, WIFO, number 57897, April.

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    Keywords

    autocorrelation; cognitive distance; quantile regression; variety; knowledge coherence; innovation; persistence;
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