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Innovation rankings: good, bad or revealing?

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  • Yuezhou Cai
  • Aoife Hanley

Abstract

The standard indicators used to compare cross-country innovation are in the Global Competitiveness Report (GCR). But there are problems with aggregation and response bias with these largely self-reported measures (Hollanders and van Cruysen, 2008).We propose a theory-based metric using Data Envelopment Analysis which corrects for sample bias and considers returns to scale. The derived ranking compares well to components of the GCR. Moreover, in second-stage estimations, our corrected efficiency score correlates well with standard Growth Theory indicators.

Suggested Citation

  • Yuezhou Cai & Aoife Hanley, 2014. "Innovation rankings: good, bad or revealing?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 325-328, March.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:5:p:325-328
    DOI: 10.1080/13504851.2013.859366
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    1. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    2. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
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    4. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
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    Cited by:

    1. Dzemydaitė Giedrė & Galinienė Birutė & Dzemyda Ignas, 2016. "The Efficiency of Regional Innovation Systems in New Member States of the European Union: A Nonparametric DEA Approach," Economics and Business, Sciendo, vol. 28(1), pages 83-89, April.
    2. Marko Hakovirta & Navodya Denuwara & Peter Topping & Jorma Eloranta, 2023. "The corporate executive leadership team and its diversity: impact on innovativeness and sustainability of the bioeconomy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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