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Innovation Sources and Productivity: A Quantile Regression Analysis

  • Agustí Segarra-Blasco

    ()

    (Grup de Recerca en Indústria i Territori(GRIT), Departament d'Economia, Universitat Rovira i Virgili.)

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    This paper explores the effects of two main sources of innovation —intramural and external R&D— on the productivity level in a sample of 3,267 Catalan firms. The data set used is based on the official innovation survey of Catalonia which was a part of the Spanish sample of CIS4, covering the years 2002-2004. We compare empirical results by applying usual OLS and quantile regression techniques both in manufacturing and services industries. In quantile regression, results suggest different patterns at both innovation sources as we move across conditional quantiles. The elasticity of intramural R&D activities on productivity decreased when we move up the high productivity levels both in manufacturing and services sectors, while the effects of external R&D rise in high-technology industries but are more ambiguous in low-technology and services industries.

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    File URL: http://www.pcb.ub.es/xreap/aplicacio/fitxers/XREAP2007-08.pdf
    File Function: First version, 2007
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    File URL: http://www.pcb.ub.es/xreap/aplicacio/fitxers/XREAP2007-08.pdf
    File Function: Revised version, 2007
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    Paper provided by Xarxa de Referència en Economia Aplicada (XREAP) in its series Working Papers with number XREAP2007-08.

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    Length: 17 pages
    Date of creation: Oct 2007
    Date of revision: Oct 2007
    Handle: RePEc:xrp:wpaper:xreap2007-08
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    1. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level," NBER Working Papers 6696, National Bureau of Economic Research, Inc.
    2. Gorg, Holger & Strobl, Eric & Ruane, Frances, 2000. " Determinants of Firm Start-Up Size: An Application of Quantile Regression for Ireland," Small Business Economics, Springer, vol. 14(3), pages 211-22, May.
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