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Applications of Data Envelopment Analysis in Education

In: Data Envelopment Analysis

Author

Listed:
  • Emmanuel Thanassoulis

    (Aston University)

  • Kristof Witte

    (KU Leuven
    Maastricht University)

  • Jill Johnes

    (University of Huddersfield)

  • Geraint Johnes

    (Lancaster University)

  • Giannis Karagiannis

    (University of Macedonia)

  • Conceição S. Portela

    (Católica Porto Business School)

Abstract

Non-parametric methods for efficiency evaluation were designed to analyse industries comprising multi-input multi-output producers and lacking data on market prices. Education is a typical example. In this chapter, we review applications of DEA in secondary and tertiary education, focusing on the opportunities that this offers for benchmarking at institutional level. At secondary level, we investigate also the disaggregation of efficiency measures into pupil-level and school-level effects. For higher education, while many analyses concern overall institutional efficiency, we examine also studies that take a more disaggregated approach, centred either around the performance of specific functional areas or that of individual employees.

Suggested Citation

  • Emmanuel Thanassoulis & Kristof Witte & Jill Johnes & Geraint Johnes & Giannis Karagiannis & Conceição S. Portela, 2016. "Applications of Data Envelopment Analysis in Education," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 367-438, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7684-0_12
    DOI: 10.1007/978-1-4899-7684-0_12
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    Citations

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    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Dovile Stumbriene & Ana S. Camanho & Audrone Jakaitiene, 2020. "The performance of education systems in the light of Europe 2020 strategy," Annals of Operations Research, Springer, vol. 288(2), pages 577-608, May.
    3. Carlucci, Fabio & Corcione, Carlo & Mazzocchi, Paolo & Trincone, Barbara, 2021. "The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study," Land Use Policy, Elsevier, vol. 108(C).
    4. 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.
    5. Gulati, Rachita & Kattumuri, Ruth & Kumar, Sunil, 2020. "A non-parametric index of corporate governance in the banking industry: An application to Indian data," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    6. Jill Johnes & Swati Virmani, 2020. "Chief executive pay in UK higher education: the role of university performance," Annals of Operations Research, Springer, vol. 288(2), pages 547-576, May.
    7. Min-Chun Yu & Chia-Nan Wang & Nguyen-Nhu-Y Ho, 2016. "A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    8. Tomás Fontalvo Herrera & José Morelos Gómez & Adel Mendoza Mendoza, 2019. "Evaluación de la eficiencia de las empresas del sector carbón en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 27(1), pages 43-56, February.
    9. Marius Sorin Dincă & Gheorghiţa Dincă & Maria Letiţia Andronic & Anna Maria Pasztori, 2021. "Assessment of the European Union’s Educational Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
    10. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    11. Abolghasem Naderi, 2022. "Efficiency measurement of higher education units using multilevel frontier analysis," Journal of Productivity Analysis, Springer, vol. 57(1), pages 79-92, February.
    12. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    13. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    14. Fritz Schiltz & Kristof Witte & Deni Mazrekaj, 2020. "Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis," Annals of Operations Research, Springer, vol. 288(2), pages 529-546, May.
    15. Rachita Gulati, 2022. "Does regulatory under‐compliance with governance standards lead to bank instability? An exploration using Indian data," Australian Economic Papers, Wiley Blackwell, vol. 61(1), pages 138-180, March.
    16. Rebai, Sonia & Ben Yahia, Fatma & Essid, Hédi, 2020. "A graphically based machine learning approach to predict secondary schools performance in Tunisia," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    17. Seyed Ali Rakhshan, 2017. "Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 906-918, August.
    18. Cossani, Gianfranco & Codoceo, Loreto & Cáceres, Hernán & Tabilo, Jorge, 2022. "Technical efficiency in Chile’s higher education system: A comparison of rankings and accreditation," Evaluation and Program Planning, Elsevier, vol. 92(C).

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