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Assessing productivity performance of basic and secondary education in Tunisia: a Malmquist analysis

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  • António AFONSO,
  • Mohamed AYADI,
  • Sourour RAMZI

Abstract

We analyze the productivity changes in basic and secondary education for 24 governorates in Tunisia over the period 2004-2008. In methodological term, we employ the Malmquist index, to estimate changes in total factor productivity which can be decomposed into two main components namely, technological change and technical efficiency change. We use four input variables (number of teacher per students, number of classes per students, number of schools per inhabitants, and expenditure in education per student) and two output variables measuring success rate of baccalaureate exam and rate of non-doubling in the 9th year. Our results show that on average, changes in TFP growth during the period 2004-2008 has been more linked to the changes in technology. The managerial efficiency does not have an important effect on the variation of TFP change. Generally, productivity is associated with technological innovations

Suggested Citation

  • António AFONSO, & Mohamed AYADI, & Sourour RAMZI, 2013. "Assessing productivity performance of basic and secondary education in Tunisia: a Malmquist analysis," Working Papers Department of Economics 2013/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    • Handle: RePEc:ise:isegwp:wp192013
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    References listed on IDEAS

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    1. Ant Afonso & Miguel St. Aubyn, 2013. "Public and private inputs in aggregate production and growth: a cross-country efficiency approach," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4487-4502, November.
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    3. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    4. 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.
    5. Forsund,F.R., 1999. "Efficiency and productivity of Norwegian colleges," Memorandum 11/1999, Oslo University, Department of Economics.
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    Cited by:

    1. Sourour Ramzi, 2019. "Modeling the Education Supply Chain with Network DEA Model: The Case of Tunisia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 525-540, September.

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    More about this item

    Keywords

    basic and secondary education; productivity change; efficiency change; DEA; Malmquist index.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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