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Use of household food insecurity scales for assessing poverty in Bangladesh and Uganda

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  • Alcaraz V., Gabriela
  • Zeller, Manfred

Abstract

An important dimension of poverty is access to food. Household food security implies access to the food needed for a healthy and productive life. Lack of access to and/or impaired utilization of food contribute to household food insecurity. This study compares the usefulness of a standardized food insecurity scale for determining the food insecurity status of rural and urban households in Bangladesh and Uganda, and for predicting poverty status. The analysis uses data from the IRIS Composite Survey Household Questionnaire (2004), which consists of 1,587 households (approximately 800 households in each country). The coping mechanisms adopted in the presence of food shortages represent the building blocks for the development of the scale (7 items). In order to assess the suitability of the scale as an estimator of the households’ poverty status, the benchmark indicator “daily expenditures per capita” and its relation to the corresponding poverty line serves as the basis for evaluation for each country. The scale provides the means for classifying the households into 3 main groups: Non Food Insecure, Moderately Food Insecure, and Severely Food Insecure. The reliability of the scale is measured via the Cronbach’s Alpha statistic. In addition, the scale is used in regression analysis in order to predict per capita daily expenditures and the poverty incidence. The results show that food insecurity does not always reflect (income) poverty. However, the use of the scale as a predictor of poverty status produces rough estimates of poverty incidence that could be useful as background information. The differentiation of households according to their food security status may be valuable for focusing and developing improved food insecurity mitigation strategies.

Suggested Citation

  • Alcaraz V., Gabriela & Zeller, Manfred, 2008. "Use of household food insecurity scales for assessing poverty in Bangladesh and Uganda," Research in Development Economics and Policy (Discussion Paper Series) 57164, Universitaet Hohenheim, Department of Agricultural Economics and Social Sciences in the Tropics and Subtropics.
  • Handle: RePEc:ags:uhohdp:57164
    DOI: 10.22004/ag.econ.57164
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    References listed on IDEAS

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    1. Ahmed, Akhter U. & del Ninno, Carlo, 2002. "The Food For Education program in Bangladesh," FCND briefs 138, International Food Policy Research Institute (IFPRI).
    2. Ruel, Marie T., 2002. "Is dietary diversity an indicator of food security or dietary quality?: a review of measurement issues and research needs," FCND discussion papers 140, International Food Policy Research Institute (IFPRI).
    3. Haddad, Lawrence & Kennedy, Eileen & Sullivan, Joan, 1994. "Choice of indicators for food security and nutrition monitoring," Food Policy, Elsevier, vol. 19(3), pages 329-343, June.
    4. Dufhues, Thomas & Buchenrieder, Gertrud, 2005. "Outreach of credit institutes and households' access constraints to formal credit in Northern Vietnam," Research in Development Economics and Policy (Discussion Paper Series) 8535, Universitaet Hohenheim, Department of Agricultural Economics and Social Sciences in the Tropics and Subtropics.
    5. Nord, Mark, 2004. "Measuring Food Insecurity and Hunger," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-1, June.
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    Cited by:

    1. van Edig, Xenia & Schwarze, Stefan & Zeller, Manfred, 2009. "How robust are indicator based poverty assessment tools over time? Empirical evidence from Central Sulawesi, Indonesia," 2009 Conference, August 16-22, 2009, Beijing, China 51674, International Association of Agricultural Economists.
    2. Edig, Xenia van & Schwarze, Stefan & Zeller, Manfred, 2013. "Poverty Assessment by Proxy-Means Tests: Are Indicator-Based Estimations Robust over Time? A Study from Central Sulawesi, Indonesia," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(01), pages 1-23, February.

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    More about this item

    Keywords

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    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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