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Performance assessment of secondary schools: the snapshot of a country taken by DEA

Author

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  • M C S Portela

    (Universidade Católica Portuguesa, Portugal)

  • A S Camanho

    (Faculdade de Engenharia da Universidade do Porto, Portugal)

  • D Borges

    (Universidade Católica Portuguesa, Portugal)

Abstract

This paper describes a performance assessment of Portuguese secondary schools using data envelopment analysis (DEA). The assessment adopts a perspective where schools are viewed as promoting students achievement given their characteristics in terms of academic abilities and socio-economic background. Our sample comprised all secondary schools in Portugal with both basic and secondary education levels. Two types of DEA analysis are performed: one using an output-oriented model that restricts output (exam scores) weights to be linked to the number of students that have done that exam in the school, and the other using a model that restricts factor weights to be equal for all schools. In this model the weight restrictions are linked to the total number of exams done nationally. The first model is well suited for identifying worst performing schools and to assess schools that may specialize in certain subjects, whereas the latter is best suited for improving discrimination between best performing schools when pursuing the identification of benchmarks, as well as to construct performance rankings.

Suggested Citation

  • M C S Portela & A S Camanho & D Borges, 2012. "Performance assessment of secondary schools: the snapshot of a country taken by DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(8), pages 1098-1115, August.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:8:p:1098-1115
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    Citations

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    Cited by:

    1. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. 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.
    3. Silva, Maria Conceição A., 2018. "Output-specific inputs in DEA: An application to courts of justice in Portugal," Omega, Elsevier, vol. 79(C), pages 43-53.
    4. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    5. 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).
    6. Maria Conceição Portela, 2016. "Output-specific inputs in DEA: an application to courts," Working Papers de Gestão (Management Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    7. Podinovski, Victor V. & Ismail, Ihsan & Bouzdine-Chameeva, Tatiana & Zhang, Wenjuan, 2014. "Combining the assumptions of variable and constant returns to scale in the efficiency evaluation of secondary schools," European Journal of Operational Research, Elsevier, vol. 239(2), pages 504-513.
    8. Victor V. Podinovski & Wan Rohaida Wan Husain, 2017. "The hybrid returns-to-scale model and its extension by production trade-offs: an application to the efficiency assessment of public universities in Malaysia," Annals of Operations Research, Springer, vol. 250(1), pages 65-84, March.
    9. Paola Azar & Federico González & Leonel Muinelo-Gallo, 2018. "The efficiency of Uruguayan secondary schools: Evidence based on PISA 2015 data," Documentos de Trabajo (working papers) 18-14, Instituto de Economía - IECON.
    10. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
    11. 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.
    12. Chia-Chi Lee, 2014. "Performance evaluation of CPA firms in Taiwan from the perspective of industry-specific client groups," Service Business, Springer;Pan-Pacific Business Association, vol. 8(2), pages 267-293, June.
    13. Ogunrinde, Olawale & Shittu, Ekundayo, 2023. "Efficiency and productivity of renewable energy technologies: Evidence from U.S. investor-owned utilities across regional markets," Utilities Policy, Elsevier, vol. 82(C).
    14. Manuel Mocholi-Arce & Trinidad Gómez & Maria Molinos-Senante & Ramon Sala-Garrido & Rafael Caballero, 2020. "Evaluating the Eco-Efficiency of Wastewater Treatment Plants: Comparison of Optimistic and Pessimistic Approaches," Sustainability, MDPI, vol. 12(24), pages 1-13, December.
    15. Kao, Chiang & Liu, Shiang-Tai, 2014. "Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks," Omega, Elsevier, vol. 47(C), pages 90-98.
    16. Camanho, Ana S. & Varriale, Luisa & Barbosa, Flávia & Sobral, Thiago, 2021. "Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1188-1208.
    17. Henriques, C.O. & Marcenaro-Gutierrez, O.D., 2021. "Efficiency of secondary schools in Portugal: A novel DEA hybrid approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    18. Kourtzidis, Stavros & Matousek, Roman & Tzeremes, Nickolaos G., 2021. "Modelling a multi-period production process: Evidence from the Japanese regional banks," European Journal of Operational Research, Elsevier, vol. 294(1), pages 327-339.
    19. Fabiana Rocha & Plinio Portela de Oliveira & Janete Duarte & Sérgio Ricardo de Brito Gadelha & Luis Felipe Vital Nunes Pereira, 2017. "Can Education Targets be Met Without Increasing Public Spending? An Analysis for Brazilian Municipalities," Economics Bulletin, AccessEcon, vol. 37(1), pages 391-401.
    20. Kao, Chiang & Hwang, Shiuh-Nan, 2014. "Multi-period efficiency and Malmquist productivity index in two-stage production systems," European Journal of Operational Research, Elsevier, vol. 232(3), pages 512-521.

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