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R&S e spillover industriali: un'analisi sulle imprese italiane

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  • G Medda
  • C. Piga

Abstract

In questo lavoro l'analisi degli spillover si è concentrata sulle esternalità fra le impre-se italiane del tipo intra- e inter-industry ed i loro effetti sulla produttività. Le rela-zioni tra i vari settori sono state approssimate attraverso una matrice degli scambi commerciali. I principali risultati sono i seguenti - un importante effetto degli spillover intra-industry, con dei rendimenti supe-riori alla media dei risultati presenti in letteratura. La localizzazione geografi-ca non sembra invece determinare notevoli effetti intra-settoriali. le stime degli spillover inter-industry mostrano dei risultati all'interno di un range minore di quelli intra-settoriali, con un effetto più netto degli spillover provenienti a monte della catena produttiva (supply-driven) rispetto a quelli customer-driven. In conclusione, le imprese possono sfruttare a scopi produttive conoscenze di altri, a patto che appartengano a settori manifatturieri ad alta intensità tecnologica, che in-trattenga rapporti commerciali, sia a monte sia a valle della catena produttiva, con imprese di industrie dinamiche da un punto di vista tecnologico.

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  • G Medda & C. Piga, 2004. "R&S e spillover industriali: un'analisi sulle imprese italiane," Working Paper CRENoS 200406, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:200406
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    Cited by:

    1. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.
    2. Concetta Castiglione, 2012. "Technical efficiency and ICT investment in Italian manufacturing firms," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1749-1763, May.
    3. Paola Cardamone, 2012. "A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification," Journal of Productivity Analysis, Springer, vol. 37(1), pages 41-58, February.
    4. G. Marletto, 2006. "La politica dei trasporti come politica per l'innovazione: spunti da un approccio evolutivo," Working Paper CRENoS 200605, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. OA Carboni & G Medda, 2007. "Government Size and the Composition of Public Spending in a Neoclassical Growth Model," Working Paper CRENoS 200701, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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    More about this item

    Keywords

    total factor productivity; r&d; spillover; selectivity; firm level;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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