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Assessment of efficiency in basic and secondary education in Tunisia, a regional analysis

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  • António Afonso,
  • Mohamed Ayadi,
  • Sourour Ramzi,

Abstract

We evaluate the efficiency of basic and secondary education in 24 governorates of Tunisia during the period 1999-2008 using a non-parametric approach, DEA (Data Envelopment Analysis). We use four inputs: number of teacher per 100 students, number of classes per 100 students, number of schools per million inhabitants and education spending per student, while the output measures include the success rate of baccalaureate exam and the rate of nondoubling in the 9th year. Our results show that there is a positive relationship between school resources and student achievement and performance. Moreover, there was an increase in output efficiency scores in most governorates through the period from 1999 to 2008.

Suggested Citation

  • António Afonso, & Mohamed Ayadi, & Sourour Ramzi,, 2013. "Assessment of efficiency in basic and secondary education in Tunisia, a regional analysis," Working Papers Department of Economics 2013/06, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    • Handle: RePEc:ise:isegwp:wp062013
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    Cited by:

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    3. Shi, Jiangang & Dai, Xingying & Duan, Kaifeng & Li, Jiajia, 2023. "Exploring the performances and determinants of public service provision in 35 major cities in China from the perspectives of efficiency and effectiveness," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    4. Ben Yahia, Fatma & Essid, Hédi & Rebai, Sonia, 2018. "Do dropout and environmental factors matter? A directional distance function assessment of tunisian education efficiency," International Journal of Educational Development, Elsevier, vol. 60(C), pages 120-127.
    5. Stylianos Gr. Margaritis & Constantinos P. Tsamadias & Elias E. Argyropoulos, 2022. "Investigating the Relative Efficiency and Productivity Change of Upper Secondary Schools: the Case of Schools in the Region of Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 128-160, March.
    6. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    7. Darya Dancaková & Jozef Glova & Alena Andrejovská, 2021. "The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence," Mathematics, MDPI, vol. 9(24), pages 1-15, December.
    8. Yahia, F.B. & Essid, H., 2019. "Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(1), pages 44-56, February.
    9. Le, Minh Hanh & Afsharian, Mohsen & Ahn, Heinz, 2021. "Inverse Frontier-based Benchmarking for Investigating the Efficiency and Achieving the Targets in the Vietnamese Education System," Omega, Elsevier, vol. 103(C).

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    More about this item

    Keywords

    basic and secondary education; efficiency; DEA; Tunisia;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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