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Measuring the productivity of national R&D systems: Challenges in cross-national comparisons of R&D input and publication output indicators

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  • Dag. W. Aksnes
  • Gunnar Sivertsen
  • Thed N. van Leeuwen
  • Kaja K. Wendt

Abstract

We investigate methodological problems in measuring research productivity at the national level by comparing official R&D statistics from the OECD with publication data from the Web of Science. Data from 18 countries are analysed. This paper problematizes the approach taken in studies where R&D statistics are used as an input variable and publications as an output variable to draw conclusions about the productivity or efficiency of national research and innovation systems. We consider possible pitfalls in such analyses and propose steps that can improve the comparability of these two data sources. We recommend that efforts are made among the OECD member countries to produce more reliable and commensurable international R&D statistics.

Suggested Citation

  • Dag. W. Aksnes & Gunnar Sivertsen & Thed N. van Leeuwen & Kaja K. Wendt, 2017. "Measuring the productivity of national R&D systems: Challenges in cross-national comparisons of R&D input and publication output indicators," Science and Public Policy, Oxford University Press, vol. 44(2), pages 246-258.
    • Handle: RePEc:oup:scippl:v:44:y:2017:i:2:p:246-258.
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    File URL: http://hdl.handle.net/10.1093/scipol/scw058
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    References listed on IDEAS

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    1. Sean M. Dougherty & Robert Inklaar & Robert H. McGuckin & Bart van Ark, 2007. "International Comparisons of R&D Expenditure: Does an R&D PPP Make a Difference?," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 291-322, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Ioan Ianoş & Alexandru-Ionuţ Petrişor, 2020. "An Overview of the Dynamics of Relative Research Performance in Central-Eastern Europe Using a Ranking-Based Analysis Derived from SCImago Data," Publications, MDPI, vol. 8(3), pages 1-25, July.
    2. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
    3. Bárbara S. Lancho-Barrantes & Francisco J. Cantú-Ortiz, 2019. "Science in Mexico: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 499-517, February.
    4. Bornmann, Lutz & Gralka, Sabine & Anegón, Félix de Moya & Wohlrabe, Klaus, 2023. "Efficiency of universities and research-focused institutions worldwide: The introduction of a new input indicator reflecting institutional staff numbers," Journal of Informetrics, Elsevier, vol. 17(2).
    5. Lutz Bornmann & Sabine Gralka & Félix de Moya Anegón & Klaus Wohlrabe, 2020. "Efficiency of Universities and Research-Focused Institutions Worldwide: An Empirical DEA Investigation Based on Institutional Publication Numbers and Estimated Academic Staff Numbers," CESifo Working Paper Series 8157, CESifo.
    6. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2022. "Revealing the scientific comparative advantage of nations: Common and distinctive features," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    8. Fredrik Niclas Piro, 2019. "The R&D composition of European countries: concentrated versus dispersed profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1095-1119, May.

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