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

Alessandra Colombelli and Francesco Quatraro

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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.

Keywords: autocorrelation; cognitive distance; quantile regression; variety; knowledge coherence; innovation; persistence (search for similar items in EconPapers)
Date: 2014-04-23
New Economics Papers: this item is included in nep-cse, nep-eur, nep-ino, nep-knm, nep-sbm and nep-ure
Note: View the original document on HAL open archive server: https://hal.science/hal-01070566
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Citations: View citations in EconPapers (11)

Published in Economics of Innovation and New Technology, 2014, 23 (7), pp.585-610. ⟨10.1080/10438599.2013.871164⟩

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Journal Article: The persistence of firms' knowledge base: a quantile approach to Italian data (2014)
Working Paper: The persistence of firms' knowledge base: A quantile approach to Italian data (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01070566

DOI: 10.1080/10438599.2013.871164

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