Efficiency assessment of non-profit organisations using DEA method: a case of secondary education
DOI:
https://doi.org/10.51599/is.2025.09.01.08Keywords:
efficiency, educational system, secondary education, data envelopment analysis, Algeria.Abstract
Purpose. The purpose of this study is to evaluate the effectiveness of secondary education institutions in the southern states of Algeria, as this region faces unique challenges. By applying Data Envelopment Analysis (DEA) to assess efficiency, the study aims to help in resource allocation and the development of improvement strategies.
Results. The study used a model with three inputs (the number of teachers, the number of high schools, and the number of pupils) and one output variable (the number of successful baccalaureate graduates). The results revealed marked differences in resource efficiency across states, with secondary schools in the southern states of Algeria demonstrating high levels of efficiency in terms of quantitative outcomes such as the number of successful undergraduate students. Findings showed variations in technical efficiency across secondary education institutions, with an average efficiency score of approximately 0.848. Biskra was identified as the most efficient and referenced state, while the analysis highlighted unused input resources: 10.35% for the number of pupils, 12.12% for the number of teachers, and 15.29% in school infrastructure.
Scientific novelty. This study is unique in applying DEA to analyse efficiency in secondary education institutions in Algeria’s southern states. By identifying specific resource inefficiencies and assessing technical efficiency, it proposes a new approach to addressing regional disparities in education quality within Algeria.
Practical value. The findings provide valuable insights for academic leaders and policymakers, highlighting areas for improvement in resource use within secondary education. The results have practical implications for designing targeted interventions, improving the efficiency of educational resource allocation, and informing policies aimed at enhancing the overall performance of secondary education in Algeria’s southern states.
References
Aristovnik, A., & Obadić, A. (2014). Measuring relative efficiency of secondary education in selected EU and OECD countries: the case of Slovenia and Croatia. Technological and Economic Development of Economy, 20(3), 419–433. https://doi.org/10.3846/20294913.2014.880085.
Badri, M., Mohaidat, J., & El Mourad, T. (2014). Measuring the efficiency of public schools using data envelopment analysis–An exploratory study. Journal of Education Practice, 5(37), 215–233. Available at: https://iiste.org/Journals/index.php/JEP/article/view/18323.
Camanho, A. S., Silva, M. C., Piran, F. S., & Lacerda, D. P. (2024). A literature review of economic efficiency assessments using Data Envelopment Analysis. European Journal of Operational Research, 315(1), 1–18. https://doi.org/10.1016/j.ejor.2023.07.027.
Carter, M. (2009). Visible learning: a synthesis of over 800 meta‐analyses relating to achievement. Educational Psychology, 29(7), 867–869. https://doi.org/10.1080/01443410903415150.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8.
Coelli, T. J., Rao, D. S. P., O’Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. New York, Springer Science & Business Media. https://doi.org/10.1007/b136381.
Cook, W. D., & Zhu, J. (2005). Data envelopment analysis. In Modeling Performance Measurement: Applications and Implementation Issues in DEA (pp. 1–27). Boston, MA, Springer US. https://doi.org/10.1007/0-387-24138-8_1.
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software, vol. 2. New York, Springer. https://doi.org/10.1007/978-0-387-45283-8.
Färe, R., Grosskopf, S., & Lovell, C. K. (2013). The measurement of efficiency of production, vol. 6. New York, Springer Science & Business Media. https://doi.org/10.1007/978-94-015-7721-2.
Fatimah, S., & Mahmudah, U. (2017). Two-stage data envelopment analysis (DEA) for measuring the efficiency of elementary schools in Indonesia. International Journal of Environmental Science Education, 12(8), 1971–1987. Available at: https://www.ijese.net/makale/1955.html.
Goodman, H. H. (1979). The concept of output in education. The Educational Forum, 44(1), 71–82. https://doi.org/10.1080/00131727909338340.
Haelermans, C., De Witte, K., & Blank, J. L. T. (2012). On the allocation of resources for secondary schools. Economics of Education Review, 31(5), 575–586. https://doi.org/10.1016/j.econedurev.2012.02.007.
Hanushek, E. A. (1986). The economics of schooling: production and efficiency in public schools. Journal of Economic Literature, 24(3), 1141–1177. https://www.jstor.org/stable/2725865.
Hanushek, E. A., & Kimko, D. D. (2000). Schooling, labor-force quality, and the growth of nations. American Economic Review, 90(5), 1184–1208. https://doi.org/10.1257/aer.90.5.1184.
Hutchings, J. (2017). Accountability in education: meeting our commitments. Unesco Publishing. https://doi.org/10.54676/VVRO7638.
Jarzębowski, S. (2014). Efficiency and returns to scale – a concept of using deterministic approach. Quantitative Methods in Economics, 15(2), 102–111. Available at: https://qme.sggw.edu.pl/article/view/3674.
Kounetas, K., Androulakis, G., Kaisari, M., & Manousakis, G. (2023). Educational reforms and secondary school’s efficiency performance in Greece: a bootstrap DEA and multilevel approach. Operational Research, 23(1), 9. https://doi.org/10.1007/s12351-023-00764-y.
Lahmar, F. (2024). Educational reform in Algeria: dilemmas of globalization, equity, and decolonization. In B. Akgün & Y. Alpaydın (Eds.), Global Agendas and Education Reforms: A Comparative Study (pp. 3–24). Singapore, Springer Nature Singapore. https://doi.org/10.1007/978-981-97-3068-1_1.
Lina, A. H. (2019). Measurement of relative efficiency of second karkh education schools by using data envelopment analysis. Journal of the College of Basic Education, 2(2), 538–558. Available at: https://www.iasj.net/iasj/article/174552.
OCDE (2010). Educating Teachers for Diversity. Paris, Éditions OCDE. https://doi.org/10.1787/9789264079731-en.
OCDE (2020). Benchmarking the Performance of China's Education System. Paris, Éditions OCDE. https://doi.org/10.1787/4ab33702-en.
Panwar, A., Olfati, M., Pant, M., & Snasel, V. (2022). A review on the 40 years of existence of data envelopment analysis models: historic development and current trends. Archives of Computational Methods in Engineering, 29(7), 5397–5426. https://doi.org/10.1007/s11831-022-09770-3.
Petrou, A. (2014). Economic efficiency. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 1793–1794). Dordrecht, Springer Netherlands. https://doi.org/10.1007/978-94-007-0753-5_818.
Yeh, Q. J. (1996). The application of data envelopment analysis in conjunction with financial ratios for bank performance evaluation. The Journal of the Operation Research Society, 47(8), 980–988. https://doi.org/10.1057/jors.1996.125.
Scheerens, J., Luyten, H., & van Ravens, J. (2011). Perspectives on Educational quality. In J. Scheerens, H. Luyten, & J. van Ravens (Eds.), Perspectives on Educational Quality: Illustrative Outcomes on Primary and Secondary Schooling in the Netherlands (pp. 3–33). Dordrecht, Springer Netherlands. https://doi.org/10.1007/978-94-007-0926-3_1.
Schneider, S. L. (2022). The classification of education in surveys: a generalized framework for ex-post harmonization. Quality & Quantity, 56(3), 1829–1866. https://doi.org/10.1007/s11135-021-01101-1.
Schultz, T. W. (1961). Investment in Human Capital. The American Economic Review, 51(1), 1–17. http://www.jstor.org/stable/1818907.
Sempere, A. G., Mohn, C., & Pieroni, R. (2009). Improving educational effectiveness and promoting internal and external information – Sharing through student learning outcomes assessment. In Toward Useful Program Evaluation in College Foreign Language Education (pp. 57–81). National Foreign Langauge Resource Center. Available at: https://nflrc.hawaii.edu/publications/view/mg04.
UNESCO (2012). International standard classification of education (ISCED) 2011. Available at: https://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-isced-2011-en.pdf.
UNESCO (2022). International Standard Classification of Teacher Training Programmes ISCED-T 2021. Canada. Available at: https://isced.uis.unesco.org/wp-content/uploads/sites/15/2022/10/UNESCO-ISCED-T-2021-EN-WEB.pdf.
Xiong, Z. (2024). Global Comparison of Education Systems. In L. Niancai, F. Zhuolin, & W. Qi (Eds.), Education in China and the World: Achievements and Contemporary Issues (pp. 331–388). Singapore, Springer Nature Singapore. https://doi.org/10.1007/978-981-99-5861-0_8.
Zayniddinovna, K. D. (2022). The Importance of the design of the Pedagogical Process in Improving the Quality of Education. Journal of Pedagogical Inventions Practices, 7, 261–266. Available at: https://zienjournals.com/index.php/jpip/article/view/1446.
