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Sources of Knowledge and Productivity: How Robust is the Relationship?


  • Mosahid Khan
  • Kul B. Luintel


We estimate domestic productivity relationships for a sample of 16 OECD countries through probably the most general specification yet. We identify ten key determinants of productivity - all derived from different theoretical models. Our specification may address the potential problem of omitted variables. The issues of cross-country heterogeneity and endogeneity are addressed. The sources of knowledge appear robust in driving productivity; however, other determinants postulated by different theoretical models are also significant. The productivity relationships are heterogeneous across OECD countries implying that country-specific factors may play an important role in domestic productivity policy. Quelle est la robustesse de la relation entre sources de connaissances et productivité ? Nous estimons des relations concernant la productivité intérieure pour un échantillon de 16 pays de l'OCDE, en utilisant une spécification qui est probablement la plus générale ayant été employée jusqu'ici. Nous identifions dix déterminants essentiels de la productivité, tous obtenus à partir de modèles théoriques différents. Notre spécification peut permettre de remédier au problème potentiel soulevé par l'omission de certaines variables. Les problèmes d'hétérogénéité entre pays et d'endogénéité sont également traités. La relation de détermination existant entre les sources de connaissances et la productivité semble robuste, mais d'autres déterminants retenus par différents modèles théoriques jouent également un rôle significatif. Les relations concernant la productivité sont hétérogènes entre les pays de l'OCDE, ce qui tend à indiquer que des facteurs nationaux spécifiques peuvent jouer un rôle important dans la politique relative à la productivité intérieure.

Suggested Citation

  • Mosahid Khan & Kul B. Luintel, 2006. "Sources of Knowledge and Productivity: How Robust is the Relationship?," OECD Science, Technology and Industry Working Papers 2006/6, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2006/6-en

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    References listed on IDEAS

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    Cited by:

    1. Kul B. Luintel & Mosahid Khan, 2009. "Heterogeneous ideas production and endogenous growth: an empirical investigation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1176-1205, August.
    2. Van Elk, Roel & Verspagen, Bart & Ter Weel, Bas & Van der Wiel, Karen & Wouterse, Bram, 2015. "A macroeconomic analysis of the returns to public R&D investments," MERIT Working Papers 042, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Hugo Erken & Piet Donselaar & Roy Thurik, 0000. "Total Factor Productivity and the Role of Entrepreneurship," Tinbergen Institute Discussion Papers 09-034/3, Tinbergen Institute.
    4. Roth,Felix & Thum, Anna-Elisabeth, 2010. "Does intangible capital affect economic growth?," CEPS Papers 3667, Centre for European Policy Studies.
    5. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    6. 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.
    7. Kul Luintel & Mosahid Khan & Konstantinos Theodoridis, 2014. "On the robustness of R&D," Journal of Productivity Analysis, Springer, vol. 42(2), pages 137-155, October.
    8. Bianco, Dominique & Salies, Evens, 2009. "Productivité et R&D au Luxembourg
      [Productivity and R&D in Luxembourg]
      ," MPRA Paper 21170, University Library of Munich, Germany.
    9. 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.
    10. Falk, Martin, 2007. "R&D spending in the high-tech sector and economic growth," Research in Economics, Elsevier, vol. 61(3), pages 140-147, September.

    More about this item


    dynamic heterogeneity; hétérogénéité dynamique; methods of moments; méthodes de moments; productivité multifactorielle; sources of knowledge;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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

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