IDEAS home Printed from https://ideas.repec.org/a/ags/afjecr/362931.html

Covariates of Multidimensional Poverty in Nigeria

Author

Listed:
  • Idiaye, C.O
  • Ibikunle, T.E.

Abstract

This study examined the multidimensional poverty status of households in Nigeria using one of the most recent available household survey data, the 2018 Demographic Household Survey data. The data was analyzed using descriptive statistics, the fuzzy sets measures as well as the Tobit regression model. The results showed that 59.44% of the household heads were between 31 and 50 years of age with the mean age being 43.96 years, implying that most of the household heads were within their economically active years and, as such, should be less vulnerable to poverty than households with older heads. It also showed that the male gender, which is typically favoured over the female in terms of economic opportunities and, hence, is less vulnerable to poverty, accounted for 85.69% of the household heads. Also, 41.53% of the household head population had no formal education while 17.84%, 31.84% and 8.79% had primary, secondary and higher education respectively. This high proportion of household heads in the sample with no formal education as well as the generally low educational attainment presents a significant barrier to poverty alleviation Assets ownership influenced the poverty score of each household head as household heads with fewer assets tended to have higher poverty scores. Moreover, male headed households owned more assets than female headed households. The study concluded that other dimensions to poverty measurement in individuals and households, such as health, education and living standards, were as important as the monetary measures. It was recommended that in order to reduce poverty in households, basic social amenities, healthcare facilities and welfare support needed to be provided for households.

Suggested Citation

  • Idiaye, C.O & Ibikunle, T.E., 2024. "Covariates of Multidimensional Poverty in Nigeria," African Journal of Economic Review, African Journal of Economic Review, vol. 12(4).
  • Handle: RePEc:ags:afjecr:362931
    DOI: 10.22004/ag.econ.362931
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/362931/files/ajol-file-journals_540_articles_283626_674af44f10955.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.362931?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    2. repec:qeh:ophiwp:ophiwp088 is not listed on IDEAS
    3. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    4. Etim, Nsikak-Abasi A. & Udoh, Edet J., 2013. "The Determinants of Rural Poverty in Nigeria," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 3(2), pages 1-11, June.
    5. repec:qeh:ophiwp:ophiwp083 is not listed on IDEAS
    6. repec:ags:ijamad:151893 is not listed on IDEAS
    7. Paul Glewwe, 2002. "Schools and Skills in Developing Countries: Education Policies and Socioeconomic Outcomes," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 436-482, June.
    8. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    9. repec:qeh:ophiwp:ophiwp090 is not listed on IDEAS
    10. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jhonatan Clausen & Nicolas Barrantes, 2022. "Developing a Comprehensive Multidimensional Wellbeing Index Based on What People Value: An Application to a Middle-Income Country," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(6), pages 3253-3283, December.
    2. Gianni Betti & Francesca Gagliardi & Giulio Ghellini & Gabriele Lombardi, 2025. "Overqualification unreveled: a multidimensional and fuzzy set analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1103-1121, April.
    3. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    4. Londari Yamarak & Kevin A. Parton, 2023. "Impacts of mining projects in Papua New Guinea on livelihoods and poverty in indigenous mining communities," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 13-27, January.
    5. Mora-Rivera, Jorge & García-Mora, Fernando, 2021. "Internet access and poverty reduction: Evidence from rural and urban Mexico," Telecommunications Policy, Elsevier, vol. 45(2).
    6. Fan Yang & Krishna P. Paudel, 2023. "Nutrition, multidimensional poverty and income: The case of Nepal," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1962-1984, October.
    7. Jing Yang & Pundarik Mukhopadhaya, 2019. "Is the ADB’s Conjecture on Upward Trend in Poverty for China Right? An Analysis of Income and Multidimensional Poverty in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 451-477, June.
    8. Mónica Pinilla-Roncancio & Sandra García-Jaramillo & Ana Lorena Carrero & Catalina González-Uribe & Amy Ritterbusch, 2020. "Child vs. Household MPIs in Colombia: Do they Identify the Same Children as Multidimensionally Poor?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(3), pages 777-799, June.
    9. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    10. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    11. Zaira Najam & John Gibson, 2022. "Does intra‐country poverty convergence depend on spatial spillovers and the type of poverty measure? Evidence from Pakistan," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 9(3), pages 516-535, September.
    12. Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2023. "Housing, imputed rent, and household welfare," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 131-168, March.
    13. Ferdi Botha & David C. Ribar & Chandana Maitra & Roger Wilkins, 2024. "The co‐occurrence of food insecurity and other hardships in Australia," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(4), pages 1319-1337, December.
    14. Gaurav Datt, 2019. "Multidimensional poverty in the Philippines, 2004–2013: How much do choices for weighting, identification and aggregation matter?," Empirical Economics, Springer, vol. 57(4), pages 1103-1128, October.
    15. Nisreen Salti & Jad Chaaban & Alexandra Irani & Rima Al Mokdad, 2021. "A Multi-Dimensional Measure of Well-being among Youth: The Case of Palestinian Refugee Youth in Lebanon," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 1-34, February.
    16. Dutta, Indranil & Nogales, Ricardo & Yalonetzky, Gaston, 2021. "Endogenous weights and multidimensional poverty: A cautionary tale," Journal of Development Economics, Elsevier, vol. 151(C).
    17. Björn Gustafsson & Ding Sai, 2020. "Growing into Relative Income Poverty: Urban China, 1988–2013," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 73-94, January.
    18. Miki Malul, 2019. "Poverty and Social Policy: Perceptions Versus Reality," Poverty & Public Policy, John Wiley & Sons, vol. 11(4), pages 291-301, December.
    19. Shatakshee Dhongde & Prasanta K. Pattanaik & Yongsheng Xu, 2019. "Well‐Being, Deprivation, and the Great Recession in the U.S.: A Study in A Multidimensional Framework," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 281-306, November.
    20. Francisco Azpitarte & Jose Gallegos & Gaston Yalonetzky, 2020. "On the robustness of multidimensional counting poverty orderings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 339-364, September.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:afjecr:362931. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ajol.info/index.php/ajer/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.