IDEAS home Printed from https://ideas.repec.org/p/ags/gagfdp/291358.html

Links between maternal employment and child nutrition in rural Tanzania

Author

Listed:
  • Debela, Bethelhem Legesse
  • Gehrke, Esther
  • Qaim, Matin

Abstract

Child undernutrition remains a widespread problem in many developing countries. The empowerment of women, and mothers in particular, was shown to improve child nutrition in various geographical contexts. One important avenue to empower women is fostering female employment. However, maternal employment can influence child nutrition through different mechanisms; it is not clear under what conditions the overall effect will be positive. We develop a theoretical model to show that maternal employment can affect child nutrition through changes in (i) income, (ii) intra-household bargaining power, and (iii) time available for childcare. The links are empirically analyzed using panel data from rural Tanzania and regression models with maternal fixed effects. Maternal employment has non-linear effects on child height-for-age z-scores (HAZ), the standard indicator of longterm child nutritional status. Off-farm employment reduces child HAZ at low levels of labor supply. The effect turns positive at higher levels of off-farm labor supply and negative again at very high levels. The child nutrition effects of maternal time allocation to agricultural work on the own family farm are weaker than those of off-farm employment and statistically insignificant. These findings can help to better design development interventions that foster synergies and avoid potential tradeoffs between female empowerment and child nutrition goals.

Suggested Citation

  • Debela, Bethelhem Legesse & Gehrke, Esther & Qaim, Matin, 2019. "Links between maternal employment and child nutrition in rural Tanzania," GlobalFood Discussion Papers 291358, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  • Handle: RePEc:ags:gagfdp:291358
    DOI: 10.22004/ag.econ.291358
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/291358/files/GlobalFood_DP_132.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.291358?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
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gagfdp:291358. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iagoede.html .

    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.