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Multidimensional Poverty among Nigerian Households: Sustainable Development Implications

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  • Ismaila Rimi Abubakar

    (University of Dammam))

Abstract

Nigeria currently has the highest number of people living on less than USD1.90 a day, becoming what some analysts labeled “the poverty capital of the world.“ This article explores the multiple dimensions and predictors of household poverty in Nigeria using the 2018 Demographic and Health Survey data (n = 40,427). Results from Chi-square analysis indicate significant regional disparities in multidimensional poverty, which is endemic in the Northwest and Northeast regions that constitute 75.3% of Nigeria’s poorest households, 62.3% of household heads without formal education, and about half (49.7%) of households lacking access to electricity. Logistic regression results show that access to electricity is the most significant predictor of poverty in Nigeria, with an odds ratio (OR) of 10.46, followed by education (OR = 1.99), place of residence (OR = 0.37), land ownership (OR = 0.58), livestock ownership (0.57), number of bedrooms (1.32), and gender (0.73). Other significant predictors are drinking water sources, sanitation facilities, cooking fuel, and housing conditions. Reducing multidimensional poverty requires improving electricity supply and human development interventions in education, water, sanitation, and healthcare, targeting deprived households. These are essential for achieving sustainable development.

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  • Ismaila Rimi Abubakar, 2022. "Multidimensional Poverty among Nigerian Households: Sustainable Development Implications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 993-1014, November.
    • Handle: RePEc:spr:soinre:v:164:y:2022:i:2:d:10.1007_s11205-022-02963-0
    DOI: 10.1007/s11205-022-02963-0
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    1. Abubakar, Ismaila Rimi, 2021. "Predictors of inequalities in land ownership among Nigerian households: Implications for sustainable development," Land Use Policy, Elsevier, vol. 101(C).
    2. Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons," Economic Journal, Royal Economic Society, vol. 116(514), pages 943-968, October.
    3. Gounder, Rukmani & Xing, Zhongwei, 2012. "Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji," Economic Modelling, Elsevier, vol. 29(3), pages 787-794.
    4. Alkire, Sabina & Roche, José Manuel & Vaz, Ana, 2017. "Changes Over Time in Multidimensional Poverty: Methodology and Results for 34 Countries," World Development, Elsevier, vol. 94(C), pages 232-249.
    5. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    6. Wulung Hanandita & Gindo Tampubolon, 2016. "Multidimensional Poverty in Indonesia: Trend Over the Last Decade (2003–2013)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 559-587, September.
    7. Pasha, Atika, 2017. "Regional Perspectives on the Multidimensional Poverty Index," World Development, Elsevier, vol. 94(C), pages 268-285.
    8. Jiantuo Yu, 2013. "Multidimensional Poverty in China: Findings Based on the CHNS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 315-336, June.
    9. Abubakar, Ismaila Rimi, 2019. "Factors influencing household access to drinking water in Nigeria," Utilities Policy, Elsevier, vol. 58(C), pages 40-51.
    10. Louis-Marie Asselin, 2009. "Analysis of Multidimensional Poverty," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, edition 1, number 978-1-4419-0843-8, Fall.
    11. Maria Emma Santos & Pablo Villatoro, 2018. "A Multidimensional Poverty Index for Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(1), pages 52-82, March.
    12. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    13. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda," The World Bank Economic Review, World Bank, vol. 20(1), pages 91-113.
    14. Kathleen Beegle & Luc Christiaensen & Andrew Dabalen & Isis Gaddis, 2016. "Poverty in a Rising Africa," World Bank Publications - Books, The World Bank Group, number 22575, December.
    15. Gazzeh, Karim & Abubakar, Ismaila Rimi, 2018. "Regional disparity in access to basic public services in Saudi Arabia: A sustainability challenge," Utilities Policy, Elsevier, vol. 52(C), pages 70-80.
    16. Mitra, Sophie & Posarac, Aleksandra & Vick, Brandon, 2013. "Disability and Poverty in Developing Countries: A Multidimensional Study," World Development, Elsevier, vol. 41(C), pages 1-18.
    17. Quentin Stoeffler & Jeffrey Alwang & Bradford Mills & Nelson Taruvinga, 2016. "Multidimensional Poverty in Crisis: Lessons from Zimbabwe," Journal of Development Studies, Taylor & Francis Journals, vol. 52(3), pages 428-446, March.
    18. Calvo, Cesar, 2008. "Vulnerability to Multidimensional Poverty: Peru, 1998-2002," World Development, Elsevier, vol. 36(6), pages 1011-1020, June.
    19. World Bank, 2018. "Poverty and Shared Prosperity 2018 [Rapport 2018 sur la pauvreté et la prospérité partagée]," World Bank Publications - Books, The World Bank Group, number 30418, December.
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    2. Xing Feng & Zhe Zhao & Zhanhua Jia & Zhenxing Tian & Haiting Chen, 2023. "Framework of New Poverty Decomposition: An Application to the Evolution of Income Distribution," Sustainability, MDPI, vol. 15(3), pages 1-17, February.

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