IDEAS home Printed from https://ideas.repec.org/p/cdf/wpaper/2010-7.html
   My bibliography  Save this paper

How Robust is the R&D-Productivity relationship? Evidence from OECD Countries

Author

Listed:
  • Luintel, Kul B

    (Cardiff Business School)

  • Khan, Mosahid
  • Theodoridis, Konstantinos

    (Cardiff Business School)

Abstract

We examine the robustness of R&D and productivity relationship in a panel of 16 OECD countries. We control for fifteen productivity determinants predicted by different theoretical models. Following the advances in non-stationary panel data econometrics, we estimate four variants of thirteen specifications. All models appear co-integrated. Results are rigorously scrutinized through extensive bootstrap simulations and sensitivity checks. R&D and human capital emerge robust in all specifications making them universal drivers of productivity across nations. Most other determinants are also significant. Productivity relationships are heterogonous across countries depending on their accumulated stocks of knowledge and human capital.

Suggested Citation

  • Luintel, Kul B & Khan, Mosahid & Theodoridis, Konstantinos, 2010. "How Robust is the R&D-Productivity relationship? Evidence from OECD Countries," Cardiff Economics Working Papers E2010/7, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2010/7
    as

    Download full text from publisher

    File URL: http://carbsecon.com/wp/E2010_7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
    2. Jankowski, John E, 2001. "Measurement and Growth of R&D Within the Service Economy," The Journal of Technology Transfer, Springer, vol. 26(4), pages 323-336, October.
    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. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    2. Francisco Javier Forcadell & Fernando Úbeda, 2022. "Individual entrepreneurial orientation and performance: the mediating role of international entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 875-900, June.
    3. Diukanova, Olga & López-Rodríguez, Jesús, 2014. "Regional Impacts of non-R&D Innovation Expenditures across the EU Regions: Simulation Results Using the Rhomolo CGE Model," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 91-111.
    4. Ioannis Voutsinas & Constantinos Tsamadias, 2014. "Does research and development capital affect total factor productivity? Evidence from Greece," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(7), pages 631-651, October.

    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. Mosahid Khan & Kul B. Luintel & Konstantinos Theodoris, 2010. "How Robust is the R&D – Productivity relationship? Evidence from OECD Countries," WIPO Economic Research Working Papers 01, World Intellectual Property Organization - Economics and Statistics Division, revised Dec 2010.
    2. repec:wip:wpaper:1 is not listed on IDEAS
    3. Michel, Julie, 2007. "The effects of FDI in R&D on home countries, the case of Switzerland," MPRA Paper 6400, University Library of Munich, Germany.
    4. Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Leibniz Centre for European Economic Research.
    5. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    6. Askarov, Zohid & Doucouliagos, Hristos, 2015. "Spatial aid spillovers during transition," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 79-95.
    7. Bitzer, Jürgen & Kerekes, Monika, 2008. "Does foreign direct investment transfer technology across borders? New evidence," Economics Letters, Elsevier, vol. 100(3), pages 355-358, September.
    8. Hübler, Michael, 2011. "Technology diffusion under contraction and convergence: A CGE analysis of China," Energy Economics, Elsevier, vol. 33(1), pages 131-142, January.
    9. Jakob B. Madsen, 2008. "Economic Growth, TFP Convergence and the World Export of Ideas: A Century of Evidence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 145-167, March.
    10. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    11. MOTOHASHI Kazuyuki & ZHAO Qiuhan, 2023. "University as a Knowledge Source of Innovation: A spatial analysis of the impact on local high-tech startup creation," Discussion papers 23027, Research Institute of Economy, Trade and Industry (RIETI).
    12. Peng, Dan & Ji, Y. & Kong, Qunxi, 2023. "OFDI and firms' sustainable productive capacity: Evidence from Chinese industrial firms," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 641-652.
    13. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    14. Krammer, Marius Sorin, 2008. "International R&D spillovers in transition countries: the impact of trade and foreign direct investment," Kiel Advanced Studies Working Papers 446, Kiel Institute for the World Economy (IfW Kiel).
    15. Dominique Guellec & Bruno Van Pottelsberghe de la Potterie, 2004. "From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 353-378, July.
    16. Kun-Ming Chen & Shu-Fei Yang, 2013. "Impact of Outward Foreign Direct Investment on Domestic R&D Activity: Evidence from Taiwan's Multinational Enterprises in Low-wage Countries," Asian Economic Journal, East Asian Economic Association, vol. 27(1), pages 17-38, March.
    17. Chang, Chia-Ying, 2012. "Can a home country benefit from FDI? A theoretical analysis," Working Paper Series 18623, Victoria University of Wellington, School of Economics and Finance.
    18. Rachel Griffith & Stephen Redding & Helen Simpson, 2004. "Foreign Ownership and Productivity: New Evidence from the Service Sector and the R&D Lab," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(3), pages 440-456, Autumn.
    19. Ergun Dogan & Koi Nyen Wong, 2020. "Sources and Channels of International Knowledge Spillovers in ASEAN‐5: The Role of Institutional Quality," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(4), pages 470-486, May.
    20. Assaf Razin, 2018. "High Tech and Venture Capital Inflows: The case of Israel," NBER Working Papers 25351, National Bureau of Economic Research, Inc.
    21. Y Wei & X Liu, 2006. "Productivity spillovers from R&D, exports and FDI in China's manufacturing sector," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(4), pages 544-557, July.

    More about this item

    Keywords

    R&D Capital Stocks; Multifactor Productivity; Heterogeneity; Panel Cointegration; Bootstrap Simulations;
    All these keywords.

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F2 - International Economics - - International Factor Movements and International Business
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:cdf:wpaper:2010/7. 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: Yongdeng Xu (email available below). General contact details of provider: https://edirc.repec.org/data/ecscfuk.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.