IDEAS home Printed from https://ideas.repec.org/a/rpo/ripoec/v94y2004i3p81-118.html
   My bibliography  Save this article

Il tasso di rendimento degli investimenti in ricerca e sviluppo delle imprese innovatrici italiane

Author

Listed:
  • Francesco Aiello

    (Università della Calabria)

  • Valeria Pupo

    (Università della Calabria)

Abstract

This paper estimates the impact of R&D expenditures on Italian firm productivity. For the period 1989-1997 we consider a Cobb-Douglas production function augmented by R&D intensity. Final outcomes suggest that the rate of return of R&D investments is 20% over 1989-1994 and 22% over 1995-1997.

Suggested Citation

  • Francesco Aiello & Valeria Pupo, 2004. "Il tasso di rendimento degli investimenti in ricerca e sviluppo delle imprese innovatrici italiane," Rivista di Politica Economica, SIPI Spa, vol. 94(3), pages 81-118, May-June.
  • Handle: RePEc:rpo:ripoec:v:94:y:2004:i:3:p:81-118
    as

    Download full text from publisher

    File URL: http://www.rivistapoliticaeconomica.it/2004/mag-giu/aiello-pupo.php
    Download Restriction: Payment required
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    2. Francesco Aiello & Paola Cardamone, 2008. "R&D spillovers and firms’ performance in Italy," Empirical Economics, Springer, vol. 34(1), pages 143-166, February.
    3. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    4. Paola Cardamone & Valeria Pupo & Fernanda Ricotta, 2012. "University And Firm Performance In The Italian Manufacturing Sector," Working Papers 201207, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    5. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.
    6. 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.
    7. Francesco Aiello & Lidia Mannarino & Valeria Pupo, 2020. "Innovation and productivity in family firms: evidence from a sample of European firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 29(4), pages 394-416, May.
    8. Daria Ciriaci, 2017. "Intangible resources: the relevance of training for European firms’ innovative performance," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(1), pages 31-54, April.
    9. Paola Cardamone, 2017. "A Spatial Analysis of the R&D-Productivity Nexus at Firm Level," Growth and Change, Wiley Blackwell, vol. 48(3), pages 313-335, September.
    10. Bonanno, Graziella, 2014. "ICT and R&D as inputs or efficiency determinants? Analysing the manufacturing Italian firms over the 2007-2009," MPRA Paper 57640, University Library of Munich, Germany.
    11. Francesco Aiello & Paola Cardamone & Valeria Pupo, 2005. "Produttività e capitale tecnologico nel settore manifatturiero italiano," L'industria, Società editrice il Mulino, issue 1, pages 119-146.
    12. 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.

    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rpo:ripoec:v:94:y:2004:i:3:p:81-118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sabrina Marino (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.