IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/740.html

Returns to public R&D grants and subsidies

Author

Listed:

Abstract

We address the question of whether the returns to R&D differ between R&D projects funded by public grants and R&D in general. To answer this question, we use a flexible production function that distinguishes between different types of R&D by source of finance. Our approach requires no adjustment of the sample or data in order to include firms that never invest in R&D, in contrast to the standard Cobb-Douglas production specification. We investigate the productivity and profitability effects of R&D using a comprehensive panel of Norwegian firms over the period 2001-2009. The results suggest that the returns to R&D projects subsidized by the Research Council of Norway do not differ significantly from R&D spending in general. Our estimate of the average rate of return to R&D is about 10 percent. This estimate is robust with respect to whether firms with zero R&D are included in the estimation sample or not. In contrast, using a standard Cobb-Douglas specification and restricting the sample of firms to those with positive R&D, leads to implausibly high estimates of the rate of returns.

Suggested Citation

  • Ådne Cappelen & Arvid Raknerud & Marina Rybalka, 2013. "Returns to public R&D grants and subsidies," Discussion Papers 740, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:740
    as

    Download full text from publisher

    File URL: https://www.ssb.no/nasjonalregnskap-og-konjunkturer/artikler-og-publikasjoner/_attachment/114997
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    2. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, January.
    3. Jacques Mairesse & Pierre Mohnen, 2005. "The Importance of R&D for Innovation: A Reassessment Using French Survey Data," The Journal of Technology Transfer, Springer, vol. 30(2_2), pages 183-197, January.
    4. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 483-498, Winter.
    5. 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.
    6. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    7. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    8. Laura Power, 1998. "The Missing Link: Technology, Investment, And Productivity," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 300-313, May.
    9. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    10. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    11. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    12. Cappelen, Ådne & Raknerud, Arvid & Rybalka, Marina, 2012. "The effects of R&D tax credits on patenting and innovations," Research Policy, Elsevier, vol. 41(2), pages 334-345.
    13. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    15. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Møen, Jarle, 2018. "Corporate returns to subsidized R&D projects: Direct grants vs tax credit financing," Discussion Papers 2018/9, Norwegian School of Economics, Department of Business and Management Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David B. Audretsch & Marian Hafenstein & Alexander S. Kritikos & Alexander Schiersch, 2018. "Firm Size and Innovation in the Service Sector," Discussion Papers of DIW Berlin 1774, DIW Berlin, German Institute for Economic Research.
    2. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    3. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    4. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    5. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.
    6. Jaan Masso & Amaresh K Tiwari, 2021. "Productivity Implications Of R&D, Innovation And Capital Accumulation For Incumbents And Entrants: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 130, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    7. Criscuolo, Chiara & Mariagrazia, Squicciarini & Olavi, Lehtoranta, 2010. "R&D, innovation and productivity, and the CIS: sampling, specification and comparability issues," MPRA Paper 39261, University Library of Munich, Germany.
    8. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
    9. Pedro Andres Garzon Delvaux & Heinrich Hockmann & Peter Voigt & Pavel Ciaian & Sergio Gomez y Paloma, 2018. "The impact of private R&D on the performance of food-processing firms: Evidence from Europe, Japan and North America," JRC Research Reports JRC104144, Joint Research Centre.
    10. Ugur, Mehment & Vivarelli, Marco, 2020. "The role of innovation in industrial dynamics and productivity growth: a survey of the literature," GLO Discussion Paper Series 648, Global Labor Organization (GLO).
    11. David B. Audretsch & Alexander S. Kritikos & Alexander Schiersch, 2020. "Microfirms and innovation in the service sector," Small Business Economics, Springer, vol. 55(4), pages 997-1018, December.
    12. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    13. Yosuke Okada, 2005. "Competition and Productivity in Japanese Manufacturing Industries," NBER Working Papers 11540, National Bureau of Economic Research, Inc.
    14. Gombau, Verònica & Segarra Blasco, Agustí, 2011. "Innovation and absorptive capacity: What is the role of technological frontier?," Working Papers 2072/179622, Universitat Rovira i Virgili, Department of Economics.
    15. Stucki, Tobias & Woerter, Martin, 2019. "The private returns to knowledge: A comparison of ICT, biotechnologies, nanotechnologies, and green technologies," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 62-81.
    16. Aronica, Martina & Fazio, Giorgio & Piacentino, Davide, 2022. "A micro-founded approach to regional innovation in Italy," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    17. Gabriele Pellegrino & Mariacristina Piva, 2014. "Do innovative inputs lead to different innovative outputs in mature and young firms?," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1497, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    18. Cristiano Antonelli & Alessandra Colombelli, 2017. "The locus of knowledge externalities and the cost of knowledge," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1151-1164, August.
    19. 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.
    20. Burcu Fazlıoğlu & Başak Dalgıç & Ahmet Burçin Yereli, 2019. "The effect of innovation on productivity: evidence from Turkish manufacturing firms," Industry and Innovation, Taylor & Francis Journals, vol. 26(4), pages 439-460, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ssb:dispap:740. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.html .

    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.