IDEAS home Printed from https://ideas.repec.org/a/wly/jintdv/v27y2015i1p73-84.html
   My bibliography  Save this article

Determinants of Household Vulnerability to Food Insecurity: A Case Study of Semi‐Arid Districts in Malawi

Author

Listed:
  • Tasokwa Kakota
  • Dickson Nyariki
  • David Mkwambisi
  • Wambui Kogi‐Makau

Abstract

This paper looks at household vulnerability to food insecurity and its determinants in two semi‐arid districts in Malawi. A randomly selected sample of 200 households was interviewed. The descriptive statistics revealed that female‐headed households were more vulnerable to food insecurity than male‐headed households because of low access to resources for food production and purchases. A two‐stage least squares regression analysis showed that amongst the main determinants of household vulnerability were income, household size, land size and access to climate information. The findings imply that policies should promote diversification of livelihoods and equal opportunities and rights to access resources. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Tasokwa Kakota & Dickson Nyariki & David Mkwambisi & Wambui Kogi‐Makau, 2015. "Determinants of Household Vulnerability to Food Insecurity: A Case Study of Semi‐Arid Districts in Malawi," Journal of International Development, John Wiley & Sons, Ltd., vol. 27(1), pages 73-84, January.
  • Handle: RePEc:wly:jintdv:v:27:y:2015:i:1:p:73-84
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    2. Sandile Mthethwa & Edilegnaw Wale, 2021. "Household Vulnerability to Food Insecurity in Rural South Africa: Evidence from a Nationally Representative Survey Data," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    3. Ayelech Kidie Mengesha & Thomas Bauer & Doris Damyanovic & Sayeh Kassaw Agegnehu & Reinfried Mansberger & Gernot Stoeglehner, 2022. "Gender Analysis of Landholding and Situation of Female-Headed Households after Land Registration: The Case of Machakel Woreda," Land, MDPI, vol. 11(7), pages 1-28, July.

    More about this item

    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:wly:jintdv:v:27:y:2015:i:1:p:73-84. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/5102/home .

    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.