IDEAS home Printed from https://ideas.repec.org/a/ekz/ekonoz/2005308.html
   My bibliography  Save this article

Algunas reflexiones metodológicas sobre la evaluación de la eficiencia productiva de las instituciones de educación superior

Author

Listed:
  • José María Gómez Sancho

    (Universidad de Zaragoza)

  • María Jesús Mancebón Torrubia

    (Universidad de Zaragoza)

Abstract

This article presents diverse reflections about the different methodological aspects that assist the process of the evaluation of the productive efficiency in the superior education institutions. A peculiarity of the university institutions is that these ones carry out simultaneously two different activities; education and research, sharing thus an important part of its inputs. This fact will be present throughout the whole work where questions of relevancy will be revised and should be taken into account during all the steps of the analysis of the efficiency: delimitation and measurement of the inputs and the outputs of the activities, type selection and sample selection.

Suggested Citation

  • José María Gómez Sancho & María Jesús Mancebón Torrubia, 2005. "Algunas reflexiones metodológicas sobre la evaluación de la eficiencia productiva de las instituciones de educación superior," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 60(03), pages 140-167.
    • Handle: RePEc:ekz:ekonoz:2005308
    as

    Download full text from publisher

    File URL: http://www.ogasun.ejgv.euskadi.eus/r51-k86aekon/es/k86aEkonomiazWar/ekonomiaz/downloadPDF?R01HNoPortal=true&idpubl=55®istro=768
    File Function: complete text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-347, April.
    2. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    3. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    4. Geraint Johnes, 1995. "Scale and technical efficiency in the production of economic research," Applied Economics Letters, Taylor & Francis Journals, vol. 2(1), pages 7-11.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Worthington, Andrew C. & Lee, Boon L., 2008. "Efficiency, technology and productivity change in Australian universities, 1998-2003," Economics of Education Review, Elsevier, vol. 27(3), pages 285-298, June.
    2. Martín Rivero, Raquel, 2007. "La eficiencia productiva en el ámbito universitario: aspectos claves para su evaluación/The Productive Efficiency in the University: Key Aspects for its Evaluation," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 793-812, Diciembre.
    3. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    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. Goodall, Amanda H., 2009. "Highly cited leaders and the performance of research universities," Research Policy, Elsevier, vol. 38(7), pages 1079-1092, September.
    6. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    7. Valadkhani, Abbas & Ville, Simon, 2008. "Identifying the Most Research Intensive Faculties of Business in Australia: A Multidimensional Approach," Economics Working Papers wp08-03, School of Economics, University of Wollongong, NSW, Australia.
    8. Tyagi, Preeti & Yadav, Shiv Prasad & Singh, S.P., 2009. "Relative performance of academic departments using DEA with sensitivity analysis," Evaluation and Program Planning, Elsevier, vol. 32(2), pages 168-177, May.
    9. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.
    10. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    11. Ma, Zhanxin & See, Kok Fong & Yu, Ming-Miin & Zhao, Chunying, 2021. "Research efficiency analysis of China's university faculty members: A modified meta-frontier DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    12. Matthias Gnewuch & Klaus Wohlrabe, 2018. "The (Super)Efficiency of Economics Faculties," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(15), pages 30-34, August.
    13. 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.
    14. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
    15. Pol, Eduardo & Ville, Simon, 2009. "Social innovation: Buzz word or enduring term?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 878-885, December.
    16. Ying Chu Ng & Sung Ko Li, 2000. "Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 139-156.
    17. AT Flegg & DO Allen & K Field & TW Thurlow, 2003. "Measuring the Efficiency and Productivity of British Universities: An Application of DEA and the Malmquist Approach," Working Papers 0304, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    18. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    19. Thanassoulis, E. & Sotiros, D. & Koronakos, G. & Despotis, D., 2018. "Assessing the cost-effectiveness of university academic recruitment and promotion policies," European Journal of Operational Research, Elsevier, vol. 264(2), pages 742-755.
    20. Alexander Eck & Sabine Gralka & Julia Sonnenburg & Wolfgang Nagl & Joachim Ragnitz, 2015. "Hochschulfinanzierung in Mecklenburg-Vorpommern," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 75.

    More about this item

    Keywords

    educación superior; eficiencia; evaluación; universidad;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ekz:ekonoz:2005308. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iñaki Treviño (email available below). General contact details of provider: https://edirc.repec.org/data/debages.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.