Determinants of school performance among primary school pupils in Togo, at the convergence of Sustainable Development Goal 4

Authors

DOI:

https://doi.org/10.18559/rielf.2025.2.3011

Keywords:

school performance, education, multilevel, Togo

Abstract

Purpose: This article examines the determinants of primary school pupils’ performance in mathematics and reading in Togo, about Sustainable Development Goals 4 (SDG4).

Design/methodology/approach: We applied a two-level multilevel model, inspired by Pascal Bressoux, to examine the effects of individual and contextual characteristics on academic performance. This approach accounts for the hierarchical structure of the data and the high intra-group dependence (ICC = 0.723). The analysis draws on PASEC 2019 data from Togo (6000 students in 180 schools), with performance measured as the average of plausible scores in mathematics and reading, using survey weights and cluster-robust standard errors.

Findings: The results reveal that individual characteristics such as gender, age, subject interest, access to preschool education, grade repetition, and socioeconomic status, as well as contextual factors such as gender, age, teachers’ level of education and experience, class size and school location, play a decisive role in the academic success of primary school pupils in Togo.

Originality/value: Improving school performance requires targeted reforms to promote pre-school education, introduce mechanisms to stimulate student interest and reduce repetition through appropriate assessment. However, these measures must be accompanied by enhanced teacher training and greater investment in school infrastructure, particularly
in rural areas, to ensure more equitable and effective education.

JEL Classification

Input–Output Models (C67)
Analysis of Education (I21)
Education and Economic Development (I25)

Downloads

Download data is not yet available.

References

Ainley, J. (1995). Students’ views of their schools. Unicorn, 21(3), 5–16.
View in Google Scholar

Andrabi, T., Das, J., Khwaja, A. I., Ozyurt, S., & Singh, N. (2020). Upping the ante: The equilibrium effects of unconditional grants to private schools. American Economic Review, 110(10), 3315–3349. https://doi.org/10.1257/aer.20180924
View in Google Scholar DOI: https://doi.org/10.1257/aer.20180924

Asadullah, M., Bouhlila, D. S., Chan, S. J., Draxler, A., Ha, W., Heyneman, S. P., Luschei, T. F., Semela, T., & Yemini, M. (2023). A year of missed opportunity: Post-COVID learning loss–a renewed call to action. International Journal of Educational Development, 99, 102770. https://doi.org/10.1016/j.ijedudev.2023.102770
View in Google Scholar DOI: https://doi.org/10.1016/j.ijedudev.2023.102770

Becker, G. S. (1962). Investment in human capital: A theoretical analysis. Journal of Political Economy, 70(5, Part 2), 9–49.
View in Google Scholar DOI: https://doi.org/10.1086/258724

Berlinski, S., Galiani, S., & Gertler, P. (2009). The effect of pre-primary education on primary school performance. Journal of Public Economics, 93(1–2), 219–234.
View in Google Scholar DOI: https://doi.org/10.1016/j.jpubeco.2008.09.002

Bianco, M., Bressoux, P., Doyen, A. L., Lambert, E., Lima, L., Pellenq, C., & Zorman, M. (2010). Early training in oral comprehension and phonological skills: Results of a three-year longitudinal study. Scientific Studies of Reading, 14(3), 211–246.
View in Google Scholar DOI: https://doi.org/10.1080/10888430903117518

Borde, S. F. (1998). Predictors of student academic performance in the introductory marketing course. Journal of Education for Business, 73(5), 302–306.
View in Google Scholar DOI: https://doi.org/10.1080/08832329809601649

Bourdieu, P. (1966). L’école conservatrice: Les inégalités devant l’école et devant la culture. Revue Française de Sociologie, 7(3), 325–347.
View in Google Scholar DOI: https://doi.org/10.2307/3319132

Coleman, J. S. (1968). Equality of educational opportunity. Integrated Education, 6(5), 19–28.
View in Google Scholar DOI: https://doi.org/10.1080/0020486680060504

Considine, G., & Zappalà, G. (2002). The influence of social and economic disadvantage in the academic performance of school students in Australia. Journal of Sociology, 38(2), 129–148.
View in Google Scholar DOI: https://doi.org/10.1177/144078302128756543

Duflo, E., Hanna, R., & Ryan, S. P. (2012). Incentives work: Getting teachers to come to school. American Economic Review, 102(4), 1241–1278.
View in Google Scholar DOI: https://doi.org/10.1257/aer.102.4.1241

Edwards, D. B., Jr., Asadullah, M. N., & Webb, A. (2024). Critical perspectives at the mid-point of Sustainable Development Goal 4: Quality education for all—progress, persistent gaps, problematic paradigms, and the path to 2030. International Journal of Educational Development, 107, 103031. https://doi.org/10.1016/j.ijedudev.2024.103031
View in Google Scholar DOI: https://doi.org/10.1016/j.ijedudev.2024.103031

Erdogdu, F., & Erdogdu, E. (2025). Beyond rankings: A multidimensional analysis of factors shaping student achievement in the PISA 2022 dataset. Educational Review, 77(5), 1–42.
View in Google Scholar DOI: https://doi.org/10.1080/00131911.2025.2506807

Evans, D. K., & Yuan, F. (2022). How big are effect sizes in international education studies? Educational Evaluation and Policy Analysis, 44(3), 532–540.
View in Google Scholar DOI: https://doi.org/10.3102/01623737221079646

Feitelson, D., Kita, B., & Goldstein, Z. (1986). Effects of listening to series stories on first graders’ comprehension and use of language. Research in the Teaching of English, 20(4), 339–356.
View in Google Scholar DOI: https://doi.org/10.58680/rte198615596

Fredriksson, P., Öckert, B., & Oosterbeek, H. (2013). Long-term effects of class size. The Quarterly Journal of Economics, 128(1), 249–285.
View in Google Scholar DOI: https://doi.org/10.1093/qje/qjs048

Fuchs, T., & Woessmann, L. (2007). What accounts for international differences in student performance? CESifo Working Paper, 1235. https://www.econstor.eu/bitstream/10419/18874/1/cesifo1_wp1235.pdf
View in Google Scholar

Gershenson, S., & Langbein, L. (2015). The effect of primary school size on academic achievement. Educational Evaluation and Policy Analysis, 37(1), 135S–155S.
View in Google Scholar DOI: https://doi.org/10.3102/0162373715576075

Hanushek, E. A., & Raymond, M. E. (2005). Does school accountability lead to improved student performance? Journal of Policy Analysis and Management, 24(2), 298–327.
View in Google Scholar DOI: https://doi.org/10.1002/pam.20091

Jaramillo, S. G., Monsalve, C. F., & Torres, F. J. S. (2010). Deserción y repetición en los primeros grados de la básica primaria: Factores de riesgo y alternativas de política pública. Proyecto Educación Compromiso de Todos.
View in Google Scholar

Kane, M. T. (2001). Current concerns in validity theory. Journal of Educational Measurement, 38(4), 319–342.
View in Google Scholar DOI: https://doi.org/10.1111/j.1745-3984.2001.tb01130.x

Krueger, A. B., & Lindahl, M. (2001). Education for growth: Why and for whom? Journal Of Economic Literature, 39(4), 1101–1136.
View in Google Scholar DOI: https://doi.org/10.1257/jel.39.4.1101

Lazarides, R., & Schiefele, U. (2021). Teacher motivation: Implications for instruction and learning. Introduction to the special issue. Learning and Instruction, 76, 101543. https://doi.org/10.1016/j.learninstruc.2021.101543
View in Google Scholar DOI: https://doi.org/10.1016/j.learninstruc.2021.101543

Liu, X., He, P., Chen, W., & Gao, J. (2019). Multi-task deep neural networks for natural language understanding. Computer Science. https://doi.org/10.48550/arXiv.1901.11504
View in Google Scholar DOI: https://doi.org/10.18653/v1/P19-1441

Magnuson, K. (2007). Maternal education and children’s academic achievement during middle childhood. Developmental Psychology, 43(6), 1497–1512.
View in Google Scholar DOI: https://doi.org/10.1037/0012-1649.43.6.1497

Mason, W. M., Wong, G. Y., & Entwisle, B. (1983). Contextual analysis through the multilevel linear model. Sociological Methodology, 14, 72–103.
View in Google Scholar DOI: https://doi.org/10.2307/270903

Meuret, D. (2001). Les recherches sur la réduction de la taille des classes. Report. Haut Conseil de l’Évaluation de l’École. http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14215753
View in Google Scholar

Michaelowa, K. (2001). Primary education quality in francophone sub-Saharan Africa: Determinants of learning achievement and efficiency considerations. World Development, 29(10), 1699–1716.
View in Google Scholar DOI: https://doi.org/10.1016/S0305-750X(01)00061-4

Michaelowa, K., & Wechtler, A. (2006). The cost-effectiveness of inputs in primary education: Insights from the literature and recent student surveys for sub-Saharan Africa. Study commissioned by the Association for the Development of Education in Africa,.ADEA Working Document.
View in Google Scholar

Mincer, J. (1958). Investment in human capital and personal income distribution. Journal of Political Economy, 66(4), 281–302.
View in Google Scholar DOI: https://doi.org/10.1086/258055

Mokonzi Bambanota, G., Van Damme, J., & De Fraine, B. (2019). Impact des caractéristiques individuelles et des caractéristiques de la classe sur le concept de soi des élèves de quatrième année primaire en République Démocratique du Congo. European Scientific Journal, 15(22), 56–82.
View in Google Scholar DOI: https://doi.org/10.19044/esj.2019.v15n22p56

Muralidharan, K., & Sundararaman, V. (2011). Teacher performance pay: Experimental evidence from India. Journal of Political Economy, 119(1), 39–77.
View in Google Scholar DOI: https://doi.org/10.1086/659655

Nye, B., Hedges, L. V., & Konstantopoulos, S. (2000). The effects of small classes on academic achievement: The results of the Tennessee class size experiment. American Educational Research Journal, 37(1), 123–151.
View in Google Scholar DOI: https://doi.org/10.3102/00028312037001123

PASEC. (2019). Base de données PASEC 2019. Programme d’Analyse des Systèmes Éducatifs.
View in Google Scholar

Piketty, T., & Yang, L. (2022). Income and wealth inequality in Hong Kong, 1981–2020: The rise of Pluto-communism? The World Bank Economic Review, 36(4), 803–834. https://doi.org/10.1093/wber/lhac019
View in Google Scholar DOI: https://doi.org/10.1093/wber/lhac019

Postlethwaite, T. N., & Wiley, D. E. (1992). The IEA study of science II: Science achievement in 23 countries. Pergamon Press.
View in Google Scholar

Raudenbush, S., & Bryk, A. S. (1986). A hierarchical model for studying school effects. Sociology of Education, 59(1), 1–17.
View in Google Scholar DOI: https://doi.org/10.2307/2112482

Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037.
View in Google Scholar DOI: https://doi.org/10.1086/261420

Rutkowski, L., Gonzalez, E., Joncas, M., & Von Davier, M. (2010). International large-scale assessment data: Issues in secondary analysis and reporting. Educational Researcher, 39(2), 142–151.
View in Google Scholar DOI: https://doi.org/10.3102/0013189X10363170

Schultz, T. W. (1961). Investment in human capital. American Economic Review, 51(1), 1–17.
View in Google Scholar

Singh, K., Granville, M., & Dika, S. (2002). Mathematics and science achievement: Effects of motivation, interest, and academic engagement. The Journal of Educational Research, 95(6), 323–332.
View in Google Scholar DOI: https://doi.org/10.1080/00220670209596607

Taiwo, A. A., & Tyolo, J. B. (2002). The effect of pre-school education on academic performance in primary school: A case study of grade one pupils in Botswana. International Journal of Educational Development, 22(2), 169–180.
View in Google Scholar DOI: https://doi.org/10.1016/S0738-0593(01)00020-7

Teegarden, L. (1932). Clinical identification of the prospective non-reader. Child Development, 3(4), 346–358.
View in Google Scholar DOI: https://doi.org/10.2307/1125361

Teese, R. V. (1995). Who wins at school? Boys and girls in Australian secondary education. Australian Government Publishing Service.
View in Google Scholar

Thamtanajit, K. (2020). The impacts of natural disaster on student achievement: Evidence from severe floods in Thailand. The Journal of Developing Areas, 54(4), 129–143. https://doi.org/10.1353/jda.2020.0042
View in Google Scholar DOI: https://doi.org/10.1353/jda.2020.0042

Toews, G., & Vézina, P. L. (2022). Resource discoveries, FDI bonanzas, and local multipliers: Evidence from Mozambique. Review of Economics and Statistics, 104(5), 1046–1058. https://doi.org/10.1162/rest_a_00999
View in Google Scholar DOI: https://doi.org/10.1162/rest_a_00999

Tolosa, I., Bayona, J. M., & Albaigés, J. (1996). Aliphatic and polycyclic aromatic hydrocarbons and sulfur/oxygen derivatives in northwestern Mediterranean sediments: Spatial and temporal variability, fluxes, and budgets. Environmental Science & Technology, 30(8), 2495–2503.
View in Google Scholar DOI: https://doi.org/10.1021/es950647x

Van De Werfhorst, H. G., Kessenich, E., & Geven, S. (2022). The digital divide in online education: Inequality in digital readiness of students and schools. Computers and Education Open, 3, 100100. https://doi.org/10.1016/j.caeo.2022.100100
View in Google Scholar DOI: https://doi.org/10.1016/j.caeo.2022.100100

Woessmann, L., & West, M. (2006). Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS. European Economic Review, 50(3), 695–736.
View in Google Scholar DOI: https://doi.org/10.1016/j.euroecorev.2004.11.005

Wößmann, L. (2003). Specifying human capital. Journal of Economic Surveys, 17(3), 239– 270. https://doi.org/10.1111/1467-6419.00195
View in Google Scholar DOI: https://doi.org/10.1111/1467-6419.00195

Downloads

Published

2026-02-17

Issue

Section

Articles

How to Cite

Sagbo, K. C., & Wonyra, K. O. (2026). Determinants of school performance among primary school pupils in Togo, at the convergence of Sustainable Development Goal 4. La Revue Internationale Des Économistes De Langue Française, 10(2), 146-165. https://doi.org/10.18559/rielf.2025.2.3011

Similar Articles

1-10 of 67

You may also start an advanced similarity search for this article.