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How to Measure Research Efficiency in Higher Education? Research Grants vs. Publication Output

Author

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  • Sabine Gralka
  • Klaus Wohlrabe
  • Lutz Bornmann

Abstract

An ongoing debate in the literature on efficiency of higher education institutions concerns the indicator for research output in the empirical analysis. While several studies chose to use the number of publications, others rely on the overall amount of research grants. The present study investigates whether both lead to similar or different assessments of universities. Besides the amount of research grants and the absolute number of publications, the number of publications belonging to the 10% and 1% most frequently cited papers in the corresponding subject category and publication year are evaluated. We show that there is a high correlation of efficiency values between the estimations using these indicators; however, the concordance is partly lower. The results do not only provide a helpful guideline for researchers, but are also valuable for policy makers deciding which incentives to create through funding.

Suggested Citation

  • Sabine Gralka & Klaus Wohlrabe & Lutz Bornmann, 2018. "How to Measure Research Efficiency in Higher Education? Research Grants vs. Publication Output," CESifo Working Paper Series 7055, CESifo.
    • Handle: RePEc:ces:ceswps:_7055
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    Cited by:

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    2. Klaus Wohlrabe & Sabine Gralka & Lutz Bornmann, 2019. "Zur Effizienz deutscher Universitäten und deren Entwicklung zwischen 2004 und 2015," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(21), pages 15-21, November.
    3. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    4. Klaus Wohlrabe & Félix de Moya Anegon & Lutz Bornmann, 2019. "How Efficiently Do Elite US Universities Produce Highly Cited Papers?," Publications, MDPI, vol. 7(1), pages 1-15, January.
    5. Klaus Wohlrabe & Sabine Gralka, 2020. "Using archetypoid analysis to classify institutions and faculties of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 159-179, April.
    6. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    7. Driss El Kadiri Boutchich, 2020. "Factors with significant impact on efficiency of research laboratories: case of the public university," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1317-1333, August.
    8. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    9. Sabine Gralka & Klaus Wohlrabe & Lutz Bornmann, 2018. "Zur Messung von Forschungsleistungen in der Effizienzanalyse: Drittmittel versus Publikationen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(16), pages 26-30, August.

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    More about this item

    Keywords

    efficiency; data envelopment analysis; stochastic frontier analysis; higher education; universities; Germany;
    All these keywords.

    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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