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On the robustness of R&D

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  • Kul Luintel
  • Mosahid Khan
  • Konstantinos Theodoridis

Abstract

Alternative models of productivity predict a range of its determinants besides that of research and development (R&D). We investigate the robustness of R&D vis-à-vis a dozen productivity determinants in a panel of 16 Organisation for Economic Co-operation and Development countries through panel cointegration, bootstrap simulations and extensive sensitivity tests. Domestic knowledge stocks, international knowledge diffusion and human capital remain robust across all measures. The cross-country differences in accumulated knowledge stocks and human capital appear to explain productivity differences across countries. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jproda:v:42:y:2014:i:2:p:137-155
    DOI: 10.1007/s11123-013-0360-0
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    Cited by:

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    3. Elkhan Richard Sadik‐Zada, 2021. "Natural resources, technological progress, and economic modernization," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 381-404, February.
    4. Ziesemer, Thomas, 2019. "The impact of mission-oriented R&D on domestic and foreign private and public R&D, total factor productivity and GDP," MERIT Working Papers 2019-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Thomas H. W. Ziesemer, 2021. "The Effects of R&D Subsidies and Publicly Performed R&D on Business R&D: A Survey," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 171-205, March.
    6. Thomas H. W. Ziesemer, 2024. "Public R&D and Growth: A dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries," Economies, MDPI, vol. 12(8), pages 1-33, August.
    7. Ziesemer, Thomas, 2019. "Japan's productivity and GDP growth: The role of GBAORD, public and foreign R&D," MERIT Working Papers 2019-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Thomas H. W. Ziesemer, 2024. "Mission-oriented R&D and growth of Japan 1988–2016: a comparison with private and public R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(2), pages 218-247, February.
    9. Dierk Herzer, 2022. "An Empirical Note on the Long-Run Effects of Public and Private R&D on TFP," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3248-3264, December.
    10. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    11. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    12. THW Ziesemer, 2020. "Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017," Economies, MDPI, vol. 8(4), pages 1-25, September.
    13. Tarancón, Miguel-Ángel & Gutiérrez-Pedrero, María-Jesús & Callejas, Fernando E. & Martínez-Rodríguez, Isabel, 2018. "Verifying the relation between labor productivity and productive efficiency by means of the properties of the input-output matrices. The European case," International Journal of Production Economics, Elsevier, vol. 195(C), pages 54-65.
    14. Le, Thanh & Pham, Hanh & Mai, Sau & Vu, Ngoc, 2022. "Frontier academic research, industrial R&D and technological progress: The case of OECD countries," Technovation, Elsevier, vol. 114(C).
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    More about this item

    Keywords

    R&D capital stock; Multifactor productivity; Heterogeneity; Panel cointegration; Bootstrap simulations; C2; O3; O4;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • 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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