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Governance Quality, Institutional Stability, and Child Stunting in Sub-Saharan Africa: A Multi-Country Analysis of SDG 16 Pathways, 2015–2024

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DOI: 10.21522/TIJAR.2014.13.03.Art025

Authors : Eveline Ngwenyi

Abstract:

Child stunting affects over 66 million children in sub-Saharan Africa (SSA), representing 60% of the global burden. While food insecurity, poverty, and climate shocks explain part of this burden, the governance mechanisms linking institutional quality to malnutrition outcomes remain poorly quantified. This study examines whether and through which pathways governance quality and institutional stability (SDG 16) influence child stunting prevalence across 49 SSA countries over the period 2015–2024. Using an unbalanced cross-sectional dataset combining UNICEF/WHO/World Bank Joint Malnutrition Estimates, World Bank Worldwide Governance Indicators (WGI), and 20+ SDG proxy indicators, we employed a series of six nested ordinary least squares (OLS) regression models with progressive covariate adjustment, complemented by principal component analysis (PCA) for governance index construction and k-means clustering for country typology. Results indicate that the composite governance index (ICOMP_GOV_ACP) explains 46.5% of stunting variance in baseline models (M1: R²adj=0.465, F=21.870, p<0.001), but this effect is fully mediated in the parsimonious model (M5: R²adj=0.643, F=21.283, p<0.001) by three proximal determinants: skilled birth attendance (SBA_LAST, β=−0.414, p=0.002), food insecurity (FIES_LAST, β=+0.325, p=0.091), and electricity access (ELEC_LAST, β=−0.327, p=0.116). These findings establish governance as a distal determinant operating through service-delivery pathways, with implications for integrated SDG 16–2–3–7 policy strategies. We accordingly recommend that governance investments be systematically paired with targeted food security programmes and expansion of skilled birth attendance coverage to achieve meaningful reductions in stunting prevalence across sub-Saharan Africa.

References:

[1].   UNICEF, WHO, World Bank Group. Levels and trends in child malnutrition: UNICEF/WHO/World Bank Group joint child malnutrition estimates, 2024 edition. New York: UNICEF; 2024. Available from: https://data.unicef.org/resources/jme-report-2024/

[2].   Victora CG, de Onis M, Hallal PC, Blössner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions. Pediatrics. 2010;125(3):e473-80. Available from: https://doi.org/10.1542/peds.2009-1519

[3].   World Health Organization. WHO global database on child growth and malnutrition. Geneva: WHO; 2021. Available from: https://www.who.int/data/nutrition/

[4].   United Nations. Transforming our world: the 2030 agenda for sustainable development. A/RES/70/1. New York: UN; 2015. Available from: https://sdgs.un.org/2030agenda

[5].   Masset E. A review of hunger indices and methods to monitor country commitment to fighting hunger. Food Policy. 2011;36(Suppl 1):S102-8. Available from: https://doi.org/10.1016/j.foodpol.2010.11.007

[6].   Smith LC, Haddad L. Reducing child undernutrition: past drivers and priorities for the post-MDG era. World Dev. 2015;68:180-204. Available from: https://doi.org/10.1016/j.worlddev.2014.11.014

[7].   Ruel MT, Alderman H. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition? Lancet. 2013;382(9891):536-51. Available from: https://doi.org/10.1016/S0140-6736(13)60843-0

[8].   Pelletier DL, Frongillo EA, Gervais S, et al. Nutrition agenda setting, policy formulation and implementation: lessons from the mainstreaming nutrition initiative. Health Policy Plan. 2012;27(1):19-31. Available from: https://doi.org/10.1093/heapol/czr011

[9].   World Bank. Worldwide governance indicators 2022. Washington (DC): World Bank; 2022. Available from: https://info.worldbank.org/governance/wgi/

[10].  WHO, UNICEF. Progress on household drinking water, sanitation and hygiene 2000-2022. Geneva: WHO; 2023. Available from: https://washdata.org/

[11].  International Energy Agency, World Bank. Tracking SDG 7: the energy progress report 2022. Washington (DC): World Bank; 2022. Available from: https://trackingsdg7.esmap.org/

[12].  de Onis M, Borghi E, Arimond M, et al. Prevalence thresholds for wasting, overweight and stunting in children under 5 years. Public Health Nutr. 2019;22(1):175-9. Available from: https://doi.org/10.1017/S1368980018002434

[13].  Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-51. Available from: https://doi.org/10.1177/001316446002000116

[14].  Durbin J, Watson GS. Testing for serial correlation in least squares regression, II. Biometrika. 1951;38(1-2):159-77. Available from: https://doi.org/10.1093/biomet/38.1-2.159

[15].  White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica. 1980;48(4):817-38. Available from: https://doi.org/10.2307/1912934

[16].  Sen A. Development as freedom. Oxford: Oxford University Press; 1999.

[17].  Menon P, Headey D, Avula R, Nguyen PH. Understanding the geographical burden of stunting in India. Matern Child Nutr. 2018;14(Suppl 2):e12520. Available from: https://doi.org/10.1111/mcn.12520

[18].  Fukuda-Parr S, Orr A. The MDG hunger target and the competing frameworks of food security. J Hum Dev Capabil. 2014;15(2-3):147-61. Available from: https://doi.org/10.1080/19452829.2014.896319

[19].  Black RE, Allen LH, Bhutta ZA, et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371(9608):243-60. Available from: https://doi.org/10.1016/S0140-6736(07)61690-0

[20].  Guerrant RL, Oriá RB, Moore SR, et al. Malnutrition as an enteric infectious disease with long-term effects on child development. Nutr Rev. 2008;66(9):487-505. Available from: https://doi.org/10.1111/j.1753-4887.2008.00082.x

[21].  Victora CG, Adair L, Fall C, et al. Maternal and child undernutrition: consequences for adult health and human capital. Lancet. 2008;371(9609):340-57. Available from: https://doi.org/10.1016/S0140-6736(07)61692-4

[22].  Bhutta ZA, Das JK, Rizvi A, et al. Evidence-based interventions for improvement of maternal and child nutrition. Lancet. 2013;382(9890):452-77. Available from: https://doi.org/10.1016/S0140-6736(13)60937-X

[23].  Victora CG, Bahl R, Barros AJD, et al. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet. 2016;387(10017):475-90. Available from: https://doi.org/10.1016/S0140-6736(15)01024-7

[24].  Horton S, Shekar M, McDonald C, Mahal A, Brooks JK. Scaling up nutrition: what will it cost? Washington (DC): World Bank; 2010. Available from: https://doi.org/10.1596/978-0-8213-8077-2

[25].  FAO, IFAD, UNICEF, WFP, WHO. The state of food security and nutrition in the world 2024. Rome: FAO; 2024. Available from: https://doi.org/10.4060/cd1254en