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Benchmarking performance through efficiency analysis trees: Improvement strategies for colombian higher education institutions

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  • Zofio, Jose Luis
  • Aparicio, Juan
  • Barbero, Javier
  • Zabala-Iturriagagoitia, Jon Mikel

Abstract

We introduce benchmarking analysis based on state-of-the-art machine learning techniques applied to the measurement of efficiency to assess the performance of Higher Education Institutions (HEIs). We rely on Efficiency Analysis Trees (EAT) and its Convexified frontier counterpart (CEAT) to assess the efficiency of 144 private HEIs in Colombia and compare the results with those achieved with classical Data Envelopment Analysis (DEA). Both EAT and CEAT show a higher discriminatory power than DEA when determining efficiency scores. Our results identify the different splits of the production frontier, corresponding to each node of the efficiency tree, which groups HEIs according to specific management models. By identifying relevant peers for inefficient observations at the node level, we show which strategic guidelines can be adopted to improve the performance of each HEI. This process encourages mutual learning and suggests potential changes within each node leading to efficiency improvements.

Suggested Citation

  • Zofio, Jose Luis & Aparicio, Juan & Barbero, Javier & Zabala-Iturriagagoitia, Jon Mikel, 2024. "Benchmarking performance through efficiency analysis trees: Improvement strategies for colombian higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:soceps:v:92:y:2024:i:c:s0038012124000442
    DOI: 10.1016/j.seps.2024.101845
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    1. J. Colin Glass & Gillian McCallion & Donal McKillop & Syamarlah Rasaratnam & Karl Stringer, 2009. "Best-practice benchmarking in UK higher education: new nonparametric approaches using financial ratios and profit efficiency methodologies," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 249-267.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. 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.
    4. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    5. Kerstens, Kristiaan & Sadeghi, Jafar & Van de Woestyne, Ignace, 2019. "Convex and nonconvex input-oriented technical and economic capacity measures: An empirical comparison," European Journal of Operational Research, Elsevier, vol. 276(2), pages 699-709.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
    8. Thursby, Jerry G. & Kemp, Sukanya, 2002. "Growth and productive efficiency of university intellectual property licensing," Research Policy, Elsevier, vol. 31(1), pages 109-124, January.
    9. Andrea Bonaccorsi & Cinzia Daraio, 2008. "The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 15-37, January.
    10. Ruiz, José L. & Segura, José V. & Sirvent, Inmaculada, 2015. "Benchmarking and target setting with expert preferences: An application to the evaluation of educational performance of Spanish universities," European Journal of Operational Research, Elsevier, vol. 242(2), pages 594-605.
    11. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Efficiency and economies of scale and specialization in European universities: A directional distance approach," Journal of Informetrics, Elsevier, vol. 9(3), pages 430-448.
    12. Juan Aparicio & Miriam Esteve & Jesus J. Rodriguez-Sala & Jose L. Zofio, 2021. "The Estimation of Productive Efficiency Through Machine Learning Techniques: Efficiency Analysis Trees," International Series in Operations Research & Management Science, in: Joe Zhu & Vincent Charles (ed.), Data-Enabled Analytics, pages 51-92, Springer.
    13. Balk, Bert M. & (René) De Koster, M.B.M. & Kaps, Christian & Zofío, José L., 2021. "An evaluation of cross-efficiency methods: With an application to warehouse performance," Applied Mathematics and Computation, Elsevier, vol. 406(C).
    14. Jesus Pastor & C. Lovell & Juan Aparicio, 2012. "Families of linear efficiency programs based on Debreu’s loss function," Journal of Productivity Analysis, Springer, vol. 38(2), pages 109-120, October.
    15. Juan Aparicio & Dorys Yaneth Rodríguez & Jon Mikel Zabala-Iturriagagoitia, 2021. "The systemic approach as an instrument to evaluate higher education systems: Opportunities and challenges [Benchmarking Universities’ Efficiency Indicators in the Presence of Internal Heterogeneity," Research Evaluation, Oxford University Press, vol. 30(3), pages 336-348.
    16. Eva M de la Torre & Fernando Casani & Marti Sagarra, 2018. "Defining typologies of universities through a DEA-MDS analysis: An institutional characterization for formative evaluation purposes," Research Evaluation, Oxford University Press, vol. 27(4), pages 388-403.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Navas, Lina P. & Montes, Felipe & Abolghasem, Sepideh & Salas, Ricardo J. & Toloo, Mehdi & Zarama, Roberto, 2020. "Colombian higher education institutions evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    19. Tommaso Agasisti, 2011. "Performances and spending efficiency in higher education: a European comparison through non-parametric approaches," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 199-224.
    20. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    21. 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.
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