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

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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Source https://hal.science/hal-00867132
Author Colombelli, Alessandra, Quatraro, Francesco
Maintainer CCSD
Last Updated May 9, 2026, 13:54 (UTC)
Created May 9, 2026, 13:54 (UTC)
Identifier hal-00867132
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Groupe de Recherche en Droit, Economie et Gestion (GREDEG) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
creator Colombelli, Alessandra
date 2013-09-27T00:00:00
harvest_object_id 12657d8a-699a-429f-9a6f-162d991e05c6
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-06-23T00:00:00
relation info:eu-repo/grantAgreement//266959/EU/Policy Incentives for the Creation of Knowledge: Methods and Evidence/PICK-ME
set_spec type:UNDEFINED