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Assessing technical and cost efficiency of research activities: a case study of the Italian university system

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  • Giovanni Abramo
  • Ciriaco Andrea D'Angelo

Abstract

This paper employs data envelopment analysis (DEA) to assess both technical and cost efficiency of research activities of the Italian university system. Differently from both peer review and the top-down discipline-invariant bibliographic approaches used elsewhere, a bottom-up bibliometric methodology is applied. Publications are assigned first to authors and then to one of nine scientific and technical university disciplinary areas. Inputs are specified in terms of the numbers of full, associate and assistant professors and outputs as the number of publications, contributions to publications and their scientific impact as variously measured across the disciplines included. DEA is undertaken cross-sectionally using the averages of these inputs and outputs over the period 2001–2003. The results typically show much variation in the rankings of the disciplinary areas within and across universities, depending on the efficiency indicator employed. Copyright , Beech Tree Publishing.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D'Angelo, 2009. "Assessing technical and cost efficiency of research activities: a case study of the Italian university system," Research Evaluation, Oxford University Press, vol. 18(1), pages 61-70, March.
    • Handle: RePEc:oup:rseval:v:18:y:2009:i:1:p:61-70
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    File URL: http://hdl.handle.net/10.3152/095820209X408869
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    Cited by:

    1. 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.
    2. Ortega, Francisco J. & Gavilan, Jose M., 2013. "The measurement of production efficiency in scientific journals through stochastic frontier analysis models: Application to quantitative economics journals," Journal of Informetrics, Elsevier, vol. 7(4), pages 959-965.
    3. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
    4. Heinz Ahn & Marcel Clermont & Julia Langner, 2022. "The impact of selected input and output factors on measuring research efficiency of university research fields: insights from a purpose-, field-, and method-specific perspective," Journal of Business Economics, Springer, vol. 92(8), pages 1303-1335, October.
    5. J. Corey Miller & Keith H. Coble & Jayson L. Lusk, 2013. "Evaluating top faculty researchers and the incentives that motivate them," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 519-533, December.
    6. Angel García Correas & Manuel Larran Jorge, 2010. "Análisis de diferentes medidas de la eficiencia investigadora y factores explicativos en las universidades públicas españolas," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 36, pages 703-732, Asociación de Economía de la Educación.
    7. Larrán-Jorge, Manuel & García-Correas, Ángel, 2015. "¿Influyen los modelos de financiación autonómicos en la eficiencia de las universidades públicas españolas?," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 162-173.
    8. Valentinas Navickas & Adriana Grenčíková & Karol Krajčo, 2021. "DEA model and efficiency of universities - case study in Slovak Republic," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 348-362, September.

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