IDEAS home Printed from https://ideas.repec.org/a/eur/ejisjr/157.html

Identifying the Drivers of Food Security Based on Perception among Households in South Western Nigeria

Author

Listed:
  • Wasiu Olayinka FAWOLE

    (Department of Agricultural Economics, Faculty of Agriculture, Akdeniz University, Antalya, Turkey)

Abstract

Food insecurity has been considered lately as one of the developmental challenges facing developing nations particularly the sub-Saharan Africa that if not curtailed may have embarrassing consequences not only to the affected area but to humanity in general due to instability that may occur. This study aimed to identify those factors that influence food security and how they did to guide the relevant stakeholders in the design and implementation of food programmes. The study assessed food security of the households based on perception of heads/appointed representatives and logistic regression model to identify its drivers in respective households. The findings of the study revealed that majority of households investigated (60.2 percent) showed varying degrees of food insecurity and hunger while those living with moderate hunger were leading by 31.6 percent. Furthermore, logistic regression analysis results showed that eight of the ten explanatory variables such as income, access to credit and public health facilities among others as specified in the model significantly influenced the food security of the sampled households.

Suggested Citation

  • Wasiu Olayinka FAWOLE, 2017. "Identifying the Drivers of Food Security Based on Perception among Households in South Western Nigeria," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, September.
    • Handle: RePEc:eur:ejisjr:157
    DOI: 10.26417/ejis.v9i1.p49-55
    as

    Download full text from publisher

    File URL: https://revistia.com/index.php/ejis/article/view/1579
    Download Restriction: no
    File URL: https://revistia.com/files/articles/ejis_v3_i4_17/Wasiu.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26417/ejis.v9i1.p49-55?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. Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.
    2. Homer, J.B. & Hirsch, G.B., 2006. "System dynamics modeling for public health: Background and opportunities," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 452-458.
    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. Chang, Pao-Long & Ho, Shu-Ping & Hsu, Chiung-Wen, 2013. "Dynamic simulation of government subsidy policy effects on solar water heaters installation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 385-396.
    2. Meimei Wang & Steffen Flessa, 2020. "Modelling Covid-19 under uncertainty: what can we expect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 665-668, July.
    3. repec:plo:pone00:0185238 is not listed on IDEAS
    4. Karen Minyard & Tina A. Smith & Richard Turner & Bobby Milstein & Lori Solomon, 2018. "Community and programmatic factors influencing effective use of system dynamic models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 154-171, January.
    5. Karl M Rich & Matthew J Denwood & Alistair W Stott & Dominic J Mellor & Stuart W J Reid & George J Gunn, 2013. "Systems Approaches to Animal Disease Surveillance and Resource Allocation: Methodological Frameworks for Behavioral Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    6. Bianca Cezara Archip & Ioan Banatean-Dunea & Dacinia Crina Petrescu & Ruxandra Malina Petrescu-Mag, 2023. "Determinants of Food Waste in Cluj-Napoca (Romania): A Community-Based System Dynamics Approach," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    7. Hazhir Rahmandad, 2012. "Impact of Growth Opportunities and Competition on Firm-Level Capability Development Trade-offs," Organization Science, INFORMS, vol. 23(1), pages 138-154, February.
    8. Md Mahfuzur Rahman & Rubayet Karim & Md. Moniruzzaman & Md. Afjal Hossain & Hammad Younes, 2023. "Modeling Hospital Operating Theater Services: A System Dynamics Approach," Logistics, MDPI, vol. 7(4), pages 1-21, November.
    9. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.
    10. Erika Palmer, 2018. "The Heavy Cost of Care: Systemic Challenges in Norwegian Work Absenteeism," Social Sciences, MDPI, vol. 7(6), pages 1-17, June.
    11. Cristian Mahulea & Liliana Mahulea & Juan Manuel García Soriano & José Manuel Colom, 2018. "Modular Petri net modeling of healthcare systems," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 329-357, June.
    12. Guomei Fu & Jiafu Tang, 2024. "Simulation and Regulation of High-Quality Economic Development Based on System Dynamics and DPSIR Model," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    13. Neil S. Grigg, 2019. "Water–Health Nexus: Modeling the Pathways and Barriers to Water-Related Diseases," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 319-335, January.
    14. Levy, David T. & Hyland, Andrew & Higbee, Cheryl & Remer, Lillian & Compton, Christine, 2007. "The role of public policies in reducing smoking prevalence in California: Results from the California Tobacco Policy Simulation Model," Health Policy, Elsevier, vol. 82(2), pages 167-185, July.
    15. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    16. YongChan Kim & Min Jae Park & Erdal Atukeren, 2020. "Healthcare and Welfare Policy Efficiency in 34 Developing Countries in Asia," IJERPH, MDPI, vol. 17(13), pages 1-21, June.
    17. Sanjib Saha & Jonas Nordstrom & Ulf-G Gerdtham & Irene Mattisson & Peter M Nilsson & Peter Scarborough, 2019. "Prevention of Cardiovascular Disease and Cancer Mortality by Achieving Healthy Dietary Goals for the Swedish Population: A Macro-Simulation Modelling Study," IJERPH, MDPI, vol. 16(5), pages 1-11, March.
    18. Guido A. Veldhuis & Teun Sluijs & Marianne H. J. van Zwieten & Jildau Bouwman & Noortje M. Wiezer & Heleen M. Wortelboer, 2020. "A Proof-of-Concept System Dynamics Simulation Model of the Development of Burnout and Recovery Using Retrospective Case Data," IJERPH, MDPI, vol. 17(16), pages 1-28, August.
    19. George Miller & Matthew Daly & Charles Roehrig, 2013. "Tradeoffs in cardiovascular disease prevention, treatment, and research," Health Care Management Science, Springer, vol. 16(2), pages 87-100, June.
    20. Mahamoud, Aziza & Roche, Brenda & Homer, Jack, 2013. "Modelling the social determinants of health and simulating short-term and long-term intervention impacts for the city of Toronto, Canada," Social Science & Medicine, Elsevier, vol. 93(C), pages 247-255.
    21. Edward G. Anderson & David R. Keith & Jose Lopez, 2023. "Opportunities for system dynamics research in operations management for public policy," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1895-1920, June.

    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:eur:ejisjr:157. 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: Revistia Research and Publishing (email available below). General contact details of provider: https://revistia.org/index.php/ejis .

    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.