IDEAS home Printed from https://ideas.repec.org/a/spr/chinre/v17y2024i4d10.1007_s12187-024-10134-5.html
   My bibliography  Save this article

Evaluating the Role of Households' Food Security Status and Socioeconomic Determinants on Child Mortality in Nigeria

Author

Listed:
  • Adebayo Isaiah Ogunniyi

    (International Fund for Agricultural Development)

  • Abiodun Olusola Omotayo

    (North-West University)

  • Kehinde Oluseyi Olagunju

    (Economics and Evaluation Branch)

  • Mistura Adedoyin Rufai

    (The World Bank Group)

  • Kabir Kayode Salman

    (University of Ibadan)

  • Oluwadara Pelumi Omotayo

    (North-West University)

  • Bisola Oyediran

    (International Federation of Red Cross and Red Crescent Societies)

  • Mobolaji Victoria Adejoorin

    (University of Ibadan)

  • Bola Amoke Awotide

    (Alliance of Biodiversity International and CIAT)

  • Adeyemi Oladapo Aremu

    (North-West University)

Abstract

When addressing global development, it is imperative to recognize the relationship between food security and child mortality. Despite the targeted goals of SDGs 2 (zero hunger) and 3 (good health and well-being), Nigeria continues to grapple with relatively high rates of child malnutrition, alongside persistent challenges in child mortality and food insecurity that affect its population significantly. This study employed the Nigeria Living Standard Survey (NLSS) dataset with 11,655 households to estimate the impact of food (in)security on child mortality using the Propensity Score Matching (PSM). The study shows that food insecurity is predominant in the rural northern and urban southern part of Nigeria. Child mortality rates were found to be influenced by various factors such as maternal education, maternal age, geopolitical zones, place of residence, and access to healthcare facilities, showcasing a complex interplay of positive and negative impacts. The empirical estimates revealed that households’ food insecurity had a significant impact on child mortality in Nigeria. Hence, in order to achieve the SDG’s 2 and 3 in Nigeria, a more concerted effort should be geared towards food security and child mortality among the Nigerian rural and urban communities. The insights from this study underscore the importance of prioritizing interventions that drives food security, enhancing nutritional access, and tackling underlying social determinants to substantially reduce child mortality rates. It is imperative for policymakers, healthcare professionals, and communities to integrate complementarity approaches in developing sustainable solutions that safeguard the well-being and prospects of Nigeria's children.

Suggested Citation

  • Adebayo Isaiah Ogunniyi & Abiodun Olusola Omotayo & Kehinde Oluseyi Olagunju & Mistura Adedoyin Rufai & Kabir Kayode Salman & Oluwadara Pelumi Omotayo & Bisola Oyediran & Mobolaji Victoria Adejoorin &, 2024. "Evaluating the Role of Households' Food Security Status and Socioeconomic Determinants on Child Mortality in Nigeria," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(4), pages 1687-1714, August.
    • Handle: RePEc:spr:chinre:v:17:y:2024:i:4:d:10.1007_s12187-024-10134-5
    DOI: 10.1007/s12187-024-10134-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12187-024-10134-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12187-024-10134-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kolawole Ogundari, 2017. "Categorizing households into different food security states in Nigeria: the socio-economic and demographic determinants," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-20, December.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Olatomiwa, Lanre & Mekhilef, Saad & Huda, A.S.N. & Ohunakin, Olayinka S., 2015. "Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of Nigeria," Renewable Energy, Elsevier, vol. 83(C), pages 435-446.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Abdulazeez Hudu Wudil & Muhammad Usman & Joanna Rosak-Szyrocka & Ladislav Pilař & Mortala Boye, 2022. "Reversing Years for Global Food Security: A Review of the Food Security Situation in Sub-Saharan Africa (SSA)," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    6. Elsie R. Pamuk & Regina Fuchs & Wolfgang Lutz, 2011. "Comparing Relative Effects of Education and Economic Resources on Infant Mortality in Developing Countries," Population and Development Review, The Population Council, Inc., vol. 37(4), pages 637-664, December.
    7. Danielle Gallegos & Areana Eivers & Peter Sondergeld & Cassandra Pattinson, 2021. "Food Insecurity and Child Development: A State-of-the-Art Review," IJERPH, MDPI, vol. 18(17), pages 1-17, August.
    8. Nkechi S. Owoo, 2021. "Demographic considerations and food security in Nigeria," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(1), pages 128-167, June.
    9. Poulsen, Melissa N. & McNab, Philip R. & Clayton, Megan L. & Neff, Roni A., 2015. "A systematic review of urban agriculture and food security impacts in low-income countries," Food Policy, Elsevier, vol. 55(C), pages 131-146.
    10. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    11. Galadima, Ahmad & Muraza, Oki, 2014. "Biodiesel production from algae by using heterogeneous catalysts: A critical review," Energy, Elsevier, vol. 78(C), pages 72-83.
    12. Ogunniyi Adebayo & Kehinde Olagunju & Salman K. Kabir & Ogundipe Adeyemi, 2016. "Social Crisis, Terrorism and Food Poverty Dynamics: Evidence from Northern Nigeria," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1865-1872.
    13. Faridi, Rushad & Wadood, Syed Naimul, 2010. "An Econometric Assessment of Household Food Security in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 33(3), pages 97-111, September.
    14. Mohammad Reza Pakravan-Charvadeh & Hassan Vatanparast & Mahasti khakpour & Cornelia Flora, 2021. "Food Insecurity Status of Afghan Refugees is Linked to Socioeconomic and Resettlement Status, Gender Disparities and Children's Health Outcomes in Iran," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(5), pages 1979-2000, October.
    15. Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
    16. Owoo, Nkechi S. & Upton, Joanna & Bageant, Elizabeth, 2017. "Food Insecurity and Family Structure in Nigeria," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258469, Agricultural and Applied Economics Association.
    17. Hendriks, Sheryl L. & Msaki, Mark M., 2009. "The impact of smallholder commercialisation of organic crops on food consumption patterns, dietary diversity and consumption elasticities," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(2), pages 200-200, June.
    18. Abiodun Olusola Omotayo & Abeeb Babatunde Omotoso & Saidat Adebola Daud & Oluwadara Pelumi Omotayo & Babatunde Afeez Adeniyi, 2022. "Rising Food Prices and Farming Households Food Insecurity during the COVID-19 Pandemic: Policy Implications from SouthWest Nigeria," Agriculture, MDPI, vol. 12(3), pages 1-20, March.
    19. Vibeke Bjornlund & Henning Bjornlund & André Rooyen, 2022. "Why food insecurity persists in sub-Saharan Africa: A review of existing evidence," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 845-864, August.
    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. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    3. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Markus Gangl & Thomas A. DiPrete, 2004. "Kausalanalyse durch Matchingverfahren," Discussion Papers of DIW Berlin 401, DIW Berlin, German Institute for Economic Research.
    6. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    7. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2013. "The impact of pre-school on adolescents’ outcomes: Evidence from a recent English cohort," Economics of Education Review, Elsevier, vol. 37(C), pages 183-199.
    8. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 21, RWI - Leibniz-Institut für Wirtschaftsforschung.
    9. Hämäläinen, Kari & Ollikainen, Virve, 2004. "Differential Effects of Active Labour Market Programmes in the Early Stages of Young People's Unemployment," Research Reports 115, VATT Institute for Economic Research.
    10. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    11. Frölich, Markus & Michaelowa, Katharina, 2004. "Peer effects and textbooks in primary education: Evidence from francophone sub-Saharan Africa," HWWA Discussion Papers 311, Hamburg Institute of International Economics (HWWA).
    12. Lechner, Michael & Wunsch, Conny & Huber, Martin & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," CEPR Discussion Papers 7238, C.E.P.R. Discussion Papers.
    13. David McKenzie & Steven Stillman & John Gibson, 2010. "How Important is Selection? Experimental VS. Non‐Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 913-945, June.
    14. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    15. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    16. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How important is selection ? Experimental versus non-experimental measures of the income gains from migration," Policy Research Working Paper Series 3906, The World Bank.
    17. Guo, Yuchen Mo & Falck, Oliver & Langer, Christina & Lindlacher, Valentin & Wiederhold, Simon, 2024. "Training, Automation, and Wages: Worker-Level Evidence," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302366, Verein für Socialpolitik / German Economic Association.
    18. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    19. Lechner Michael & Miquel Ruth & Wunsch Conny, 2007. "The Curse and Blessing of Training the Unemployed in a Changing Economy: The Case of East Germany After Unification," German Economic Review, De Gruyter, vol. 8(4), pages 468-509, December.
    20. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.

    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:spr:chinre:v:17:y:2024:i:4:d:10.1007_s12187-024-10134-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.