IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v18y2009i4p353-368.html
   My bibliography  Save this article

The relationship between R&D concentration and industry R&D intensity: a simple model and some evidence

Author

Listed:
  • Chang-Yang Lee
  • Jaesun Noh

Abstract

This study aims to demonstrate that the concentration (or distribution) of firm R&D intensities within an industry is closely related to the overall R&D intensity of the industry. Unlike the well-studied relationship between sales concentration, or market structure, and industry R&D intensity, the relationship between the concentration of R&D in an industry and its overall R&D intensity has not been explored before. We present a simple model of industry R&D intensity, in which R&D concentration, R&D appropriability, and industry-wide technological opportunities jointly determine industry R&D intensity. In particular, we show that, all else being equal, the more skewed the distribution of firm R&D intensities, the higher the level of industry R&D intensity. We use a six-year panel dataset on the R&D intensities, R&D appropriability, and technological opportunities of four-digit SIC Korean manufacturing industries during the period 1991-1996.

Suggested Citation

  • Chang-Yang Lee & Jaesun Noh, 2009. "The relationship between R&D concentration and industry R&D intensity: a simple model and some evidence," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(4), pages 353-368.
    • Handle: RePEc:taf:ecinnt:v:18:y:2009:i:4:p:353-368
    DOI: 10.1080/10438590802159088
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590802159088
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438590802159088?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    2. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, December.
    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. Jorge Juliao Rossi, Julia Pineda Acero, Fernando Barrios Aguirre, 2016. "Contraste entre los determinantes de la inversión en I&D y del registro de patentes en sectores industriales de Colombia," Revista CIFE, Universidad Santo Tomás, March.
    2. Kadri Männasoo & Heili Hein, 2017. "Are R&D companies credit-constrained? Credit frictions during and post-crisis," TUT Economic Research Series 29, Department of Finance and Economics, Tallinn University of Technology.
    3. Kadri Männasoo & Heili Hein, 2017. "Capital investments and financing structure: Are R&D companies different?," TUT Economic Research Series 26, Department of Finance and Economics, Tallinn University of Technology.
    4. Männasoo, Kadri & Meriküll, Jaanika, 2020. "Credit constraints and R&D over the boom and bust: Firm-level evidence from Central and Eastern Europe," Economic Systems, Elsevier, vol. 44(2).
    5. Raghavan J. Iyengar & Malavika Sundararajan, 2019. "Is Firm Innovation Associated With Corporate Governance?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 1-24, April.
    6. Ferraro, Simona & Männasoo, Kadri & Tasane, Helery, 2023. "How the EU Cohesion Policy targeted at R&D and innovation impacts the productivity, employment and exports of SMEs in Estonia," Evaluation and Program Planning, Elsevier, vol. 97(C).

    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. Zou, Yuxiang & Chen, Tai-Liang, 2020. "Quality differentiation and product innovation licensing," Economic Modelling, Elsevier, vol. 87(C), pages 372-382.
    2. Joshua Gans & Scott Stern, 2003. "When does funding research by smaller firms bear fruit?: Evidence from the SBIR program," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(4), pages 361-384.
    3. Kornelius Kraft & Jörg Stank & Ralf Dewenter, 2011. "Co-determination and innovation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(1), pages 145-172.
    4. Koellinger, Philipp, 2008. "The relationship between technology, innovation, and firm performance--Empirical evidence from e-business in Europe," Research Policy, Elsevier, vol. 37(8), pages 1317-1328, September.
    5. Grimpe, Christoph & Hussinger, Katrin, 2008. "Building and Blocking: The Two Faces of Technology Acquisition," ZEW Discussion Papers 08-042, ZEW - Leibniz Centre for European Economic Research.
    6. Koellinger, Ph.D., 2008. "The Relationship between Technology, Innovation, and Firm Performance: Empirical Evidence on E-Business in Europe," ERIM Report Series Research in Management ERS-2008-031-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 129-213, Elsevier.
    8. Chang-Yang Lee & Ji-Hwan Lee & Ajai S. Gaur, 2017. "Are large business groups conducive to industry innovation? The moderating role of technological appropriability," Asia Pacific Journal of Management, Springer, vol. 34(2), pages 313-337, June.
    9. Herrmann, Roland & Schröck, Rebecca, 2011. "Determinanten des Innovationserfolgs: eine Analyse mit Scannerdaten für den deutschen Joghurtmarkt," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 60(03), pages 1-16, August.
    10. Henri A. Schildt & Markku V.J. Maula & Thomas Keil, 2005. "Explorative and Exploitative Learning from External Corporate Ventures," Entrepreneurship Theory and Practice, , vol. 29(4), pages 493-515, July.
    11. Gilberto Tadeu Lima, 2000. "Market concentration and technological innovation in a dynamic model of growth and distribution," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 53(215), pages 447-475.
    12. Helen Weeds, 2002. "Strategic Delay in a Real Options Model of R&D Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 729-747.
    13. Symeonidis, George, 2001. "Price Competition, Innovation and Profitability: Theory and UK Evidence," CEPR Discussion Papers 2816, C.E.P.R. Discussion Papers.
    14. Emeric Henry & Francisco Ruiz-Aliseda, 2016. "Keeping Secrets: The Economics of Access Deterrence," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 95-118, August.
    15. Galasso, Alberto & Schankerman, Mark, 2013. "Patents and Cumulative Innovation:Causal Evidence from the Courts," IIR Working Paper 13-16, Institute of Innovation Research, Hitotsubashi University.
    16. Andrés Langebaek R. & Diego Vásquez E., 2007. "Determinantes de la actividad innovadora en la industria manufacturera colombiana," Borradores de Economia 433, Banco de la Republica de Colombia.
    17. Crass, Dirk & Garcia Valero, Francisco & Pitton, Francesco & Rammer, Christian, 2016. "Protecting innovation through patents and trade secrets: Determinants and performance impacts for firms with a single innovation," ZEW Discussion Papers 16-061, ZEW - Leibniz Centre for European Economic Research.
    18. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    19. Park, Walter G., 1997. "A note on innovation and patent protection: Intertemporal imitation-risk smoothing," Economics Letters, Elsevier, vol. 54(2), pages 185-189, February.
    20. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.

    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:taf:ecinnt:v:18:y:2009:i:4:p:353-368. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.