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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
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    References listed on IDEAS

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    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.
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    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.

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    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

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