IDEAS home Printed from https://ideas.repec.org/a/ris/sccars/022066.html

Spatial Modeling of Child Malnutrition and Farming Methods in Rural Sub-Sahara Africa

Author

Listed:
  • Brent Lloyd

    (Nez Perce Tribe, Land Services Department)

Abstract

Food security in rural sub-Saharan Africa is dependent on crop yields grown on subsistence rainfed farms. Yields for rain-fed farms in Africa are often affected by the high variability in precipitation during the growing season. Low crop yields in many communities in developing regions affect the physical and mental growth of children by reducing their caloric intake. Water harvesting farms provide a way to capture water for agricultural purposes and increase crop yield. This study aimed to determine whether the prevalence of water harvesting farm techniques is spatially correlated with malnutrition. Multilevel regression models at the within-household and geographic levels were used to evaluate the correlation between water harvesting farms and stunting, a measurement of malnutrition, among children aged 1 to 5 years. The results suggest that the use of water harvesting farm methods is correlated with stunting and offers the potential to reduce malnutrition in rural subsistence farming communities in Africa.

Suggested Citation

  • Brent Lloyd, 2025. "Spatial Modeling of Child Malnutrition and Farming Methods in Rural Sub-Sahara Africa," Agricultural & Rural Studies, SCC Press, vol. 3(2), June.
  • Handle: RePEc:ris:sccars:022066
    DOI: 10.59978/ar03020012
    as

    Download full text from publisher

    File URL: https://sccpress.com/ars/article/view/128/294
    Download Restriction: no

    File URL: https://libkey.io/10.59978/ar03020012?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
    ---><---

    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:ris:sccars:022066. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Rui Zhang (email available below). General contact details of provider: https://sccpress.com/ars .

    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.