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How efficiently produce elite US universities highly cited papers? A case study based on input and output data

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  • Klaus Wohlrabe
  • Felix de Moya Anegon
  • Lutz Bornmann

Abstract

While output and impact assessments were initially at the forefront of institutional research evaluations, efficiency measurements have become popular in recent years. Research efficiency is measured by indicators that relate research output to input. The additional consideration of research input in research evaluation is obvious, since the output should be related to the input. The present study is based on a comprehensive dataset with input- and output-data for 50 US universities. As input, we used the amount of budget, and as output the number of highly-cited papers. We employed Data Efficiency Analysis (DEA), Free Disposal Hull (FDH), and two more robust models: the order-m and order-α approach. The results of the DEA and FDH analysis show that Harvard University and Rice University can be called especially efficient compared to the other universities. While the strength of Harvard University lies in its high output of highly-cited papers, the strength of Rice University is its small input. In the order-α and order-m frameworks, Harvard University remains efficient, but Rice University becomes super-efficient. We produced university rankings based on adjusted efficiency scores (subsequent to regression analyses), in which single covariates (e.g. the disciplinary profile) are held constant.

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  • Klaus Wohlrabe & Felix de Moya Anegon & Lutz Bornmann, 2018. "How efficiently produce elite US universities highly cited papers? A case study based on input and output data," ifo Working Paper Series 264, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  • Handle: RePEc:ces:ifowps:_264
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    References listed on IDEAS

    as
    1. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    2. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    3. Dominique Deprins & Léopold Simar & Henry Tulkens, 2006. "Measuring Labor-Efficiency in Post Offices," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 285-309, Springer.
    4. Marvin A. Titus & Adriana Vamosiu & Kevin R. McClure, 2017. "Are Public Master’s Institutions Cost Efficient? A Stochastic Frontier and Spatial Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(5), pages 469-496, August.
    5. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.
    6. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    7. Maximilian Schwefer, 2018. "Sitting on a Volcano: Domestic Violence in Indonesia Following Two Volcano Eruptions," ifo Working Paper Series 263, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Lutz Bornmann & Felix Moya Anegón & Rüdiger Mutz, 2013. "Do universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(11), pages 2310-2316, November.
    9. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    10. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    11. Henk F. Moed & Gali Halevi, 2015. "Multidimensional assessment of scholarly research impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 1988-2002, October.
    12. Christopher Bruffaerts & Bram De Rock & Catherine Dehon, 2013. "The Research Efficiency of US Universities: a Nonparametric Frontier Modelling Approach," Working Papers ECARES ECARES 2013-31, ULB -- Universite Libre de Bruxelles.
    13. Ulrich Schmoch, 2015. "The Informative Value of International University Rankings: Some Methodological Remarks," Springer Books, in: Isabell M. Welpe & Jutta Wollersheim & Stefanie Ringelhan & Margit Osterloh (ed.), Incentives and Performance, edition 127, pages 141-154, Springer.
    14. Bonaccorsi, Andrea & Daraio, Cinzia & Räty, Tarmo & Simar, Léopold, 2007. "Efficiency and University Size: Discipline-wise Evidence from European Universities," MPRA Paper 10265, University Library of Munich, Germany.
    15. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    16. K De Witte & N Rogge & L Cherchye & T Van Puyenbroeck, 2013. "Accounting for economies of scope in performance evaluations of university professors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(11), pages 1595-1606, November.
    17. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    18. Lutz Bornmann & Felix de Moya Anegón & Rüdiger Mutz, 2013. "Do Universities or Research Institutions With a Specific Subject Profile Have an Advantage or a Disadvantage in Institutional Rankings? A Latent Class Analysis With Data From the SCImago Ranking," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2310-2316, November.
    19. G. Thomas Sav, 2012. "Stochastic Cost Inefficiency Estimates and Rankings of Public and Private Research and Doctoral Granting Universities," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(3), pages 1-13, June.
    20. Kaare Aagaard & Jesper W. Schneider, 2016. "Research funding and national academic performance: Examination of a Danish success story," Science and Public Policy, Oxford University Press, vol. 43(4), pages 518-531.
    21. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    22. Peter Bogetoft & Lars Otto, 2011. "Benchmarking with DEA, SFA, and R," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7961-2, December.
    23. Susanne Warning, 2004. "Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(4), pages 393-408, June.
    24. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    25. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    26. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fabio Pugini, 2008. "The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 225-244, August.
    27. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
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    Cited by:

    1. Matthias Gnewuch & Klaus Wohlrabe, 2018. "Super-efficiency of education institutions: an application to economics departments," Education Economics, Taylor & Francis Journals, vol. 26(6), pages 610-623, November.

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    JEL classification:

    • 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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