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R&D spillovers and productivity growth: evidence from Italian manufacturing microdata

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  • Francesco Aiello
  • Paola Cardamone

Abstract

Recently the focus of R&D impact on productivity moves from internal to external innovation. This paper assesses the link between R&D spillovers and productivity of 1017 Italian manufacturing firms over 1995-2000. Different proxies of R&D spillovers and several specification tests are used to select a well-behaved fixed effect model. As predicted by various new growth theory models, external R&D exerts a positive and highly significant effect on firms' productivity growth.

Suggested Citation

  • Francesco Aiello & Paola Cardamone, 2005. "R&D spillovers and productivity growth: evidence from Italian manufacturing microdata," Applied Economics Letters, Taylor & Francis Journals, vol. 12(10), pages 625-631.
  • Handle: RePEc:taf:apeclt:v:12:y:2005:i:10:p:625-631 DOI: 10.1080/13504850500119112
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    References listed on IDEAS

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    1. Leoncini Riccardo & Montresor Sandro, 2001. "Struttura produttiva e processo innovativo: un'analisi intersettoriale del sistema tecnologico italiano," Rivista italiana degli economisti, Società editrice il Mulino, pages 169-206.
    2. Zvi Griliches, 1998. "Interindustry Technology Flows and Productivity Growth: A Reexamination," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 241-250 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, pages 2069-2086.
    2. Piekkola, Hannu, 2005. "Public Funding of R&D and Growth: Firm-level Evidence from Finland," Discussion Papers 996, The Research Institute of the Finnish Economy.
    3. 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.
    4. Juana Sanchez, 2014. "Innovation Output Choices And Characteristics Of Firms In The U.S," Working Papers 14-42, Center for Economic Studies, U.S. Census Bureau.
    5. Harris, Richard & Li, Qian Cher & Trainor, Mary, 2009. "Is a higher rate of R&D tax credit a panacea for low levels of R&D in disadvantaged regions?," Research Policy, Elsevier, pages 192-205.
    6. repec:oup:indcch:v:26:y:2017:i:2:p:233-257. is not listed on IDEAS
    7. Esther Goya & Esther Vayá & Jordi Suriñach, 2016. "Innovation spillovers and firm performance: micro evidence from Spain (2004–2009)," Journal of Productivity Analysis, Springer, vol. 45(1), pages 1-22, February.
    8. Lili Wang & Huub Meijers & Adam Szirmai, 2017. "Technological spillovers and industrial growth in Chinese regions," Industrial and Corporate Change, Oxford University Press, pages 233-257.
    9. Juana Sanchez, 2014. "Non-technological and Mixed Modes of Innovation in the United States. Evidence from the Business Research and Development and Innovation Survey, 2008-2011," Working Papers 14-35, Center for Economic Studies, U.S. Census Bureau.
    10. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.
    11. 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.

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