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On the Relationship between R&D and Productivity: a Treatment Effect Analysis

Author

Listed:
  • Giuseppe Medda

    (University of Cagliari)

  • Claudio Piga

    (University of Nottingham Business School)

  • Donald Siegel

    (Department of Economics, Rensselaer Polytechnic Institute, NY)

Abstract

This study uses firm level data from two detailed surveys of Italian manufacturing firms to study the relationship between R&D expenditures and productivity growth. The analysis considers the different contributions of various forms of R&D (product, process, internal, external in collaboration with universities, research centres and other firms) to Total Factor Productivity (TFP). Thus, this paper answers the call for more research on the links between a firm’s external R&D and its productivity. In the cross-section econometric analysis, we estimate a Treatment Effects model based on the assumption that the decision to carry out R&D is endogenous. We found evidence supporting such a methodological approach. The main restlts reveal a positive and statistically significant relationship between the detailed measures of R&D and TFP. It is noteworthy that among external R&D investments, only expenditures for projects run in collaboration with other firms turn out to be highly significant, while cooperation in R&D with universities does not seem to lead to productivity enhancements. Because of the public good nature of research, firms may resort to do R&D within laboratories run by universities only when the outcome of the research does not have important strategic consequences.

Suggested Citation

  • Giuseppe Medda & Claudio Piga & Donald Siegel, 2003. "On the Relationship between R&D and Productivity: a Treatment Effect Analysis," Working Papers 2003.34, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2003.34
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    Citations

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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, vol. 45(10), pages 2069-2086.
    2. Jarle Møen & Helge Sandvig Thorsen, 2017. "Publication Bias in the Returns to R&D Literature," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 987-1013, September.
    3. Leonardo Becchetti & Furio Camillo Rosati, 2007. "Global Social Preferences and the Demand for Socially Responsible Products: Empirical Evidence from a Pilot Study on Fair Trade Consumers," The World Economy, Wiley Blackwell, vol. 30(5), pages 807-836, May.
    4. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    5. 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.
    6. Raquel Ortega-Argilés, 2013. "R&D, knowledge, economic growth and the transatlantic productivity gap," Chapters, in: Frank Giarratani & Geoffrey J.D. Hewings & Philip McCann (ed.), Handbook of Industry Studies and Economic Geography, chapter 11, pages 271-302, Edward Elgar Publishing.
    7. Lo, Chu-Ping, 2011. "Global outsourcing or foreign direct investment: Why apple chose outsourcing for the iPod," Japan and the World Economy, Elsevier, vol. 23(3), pages 163-169.

    More about this item

    Keywords

    Total factor productivity; selectivity; manufacturing; firm level;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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