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Measuring food security using respondents' perception of food consumption adequacy

Author

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  • Migotto, Mauro
  • Davis, Benjamin
  • Carletto, Calogero
  • Beegle, Kathleen

Abstract

Food security is a complex and multi-dimensional phenomenon. As such, its measurement may entail and benefit from the combination of both 'qualitative-subjective' and 'quantitative-objective' indicators. Yet, the evidence on the external validity of subjective-type information is scarce, especially using representative household surveys. The aim of this paper is to compare information on self-perceived food consumption adequacy from the subjective modules of household surveys with standard quantitative indicators, namely calorie consumption, dietary diversity and anthropometry. Datasets from four countries are analyzed: Albania, Madagascar, Nepal and Indonesia. Simple descriptive statistics, correlation coefficients, contingency tables and multivariate regression show that the 'subjective' indicator is at best poorly correlated with standard quantitative indicators. The paper concludes that while subjective food adequacy indicators may provide insight on the vulnerability dimension of food insecurity, they are too blunt an indicator for food insecurity targeting. An effort towards developing improved subjective food security modules that are contextually sensitive should go hand in hand with research into how to improve household survey data for food security measurement along other dimensions of the phenomenon, particularly calorie consumption.

Suggested Citation

  • Migotto, Mauro & Davis, Benjamin & Carletto, Calogero & Beegle, Kathleen, "undated". "Measuring food security using respondents' perception of food consumption adequacy," ESA Working Papers 289068, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
  • Handle: RePEc:ags:faoaes:289068
    DOI: 10.22004/ag.econ.289068
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    Cited by:

    1. Andrew L. Dabalen & Saumik Paul, 2012. "Effect of Conflict on Dietary Energy Supply: Evidence from Cote d'Ivoire," Discussion Papers 12/09, University of Nottingham, CREDIT.
    2. Quilloy, Karen P. & Sumalde, Senaida M. & Roia, Agnes C., 2017. "Household Food Vulnerability Under an Extreme Weather Event in Sta. Cruz Subwatershed, Laguna, Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 3(01), June.
    3. Chandana Maitra & Prasada Rao, 2014. "An Empirical Investigation into Measurement and Determinants of Food Security in Slums of Kolkata," Discussion Papers Series 531, School of Economics, University of Queensland, Australia.
    4. Asadul Islam & Chandana Maitra & Debayan Pakrashi & Russell Smyth, 2016. "Microcredit Programme Participation and Household Food Security in Rural Bangladesh," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 448-470, June.
    5. Babatunde, R.O. & Omotesho, O.A. & Olorunsanya, E.O. & Owotoki, G.M., 2008. "Determinants of Vulnerability to Food Insecurity: A Genderbased Analysis of Farming Households in Nigeria," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 63(01), pages 1-10.
    6. Olivia Bertelli, 2019. "Food security measures in Sub-Saharan Africa. A validation of the LSMS-ISA scale," Post-Print hal-02455184, HAL.
    7. Kavitha, K. & Soumitra, P. & Padmaja, R., 2016. "Understanding the Linkages between Crop Diversity and Household Dietary Diversity in the Semi-Arid Regions of India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 29(Conferenc).
    8. World Bank, 2009. "Niger : Food Security and Safety Nets," World Bank Publications - Reports 18550, The World Bank Group.
    9. Saumik Paul & Andrew L. Dabalen, 2013. "Effect of Conflict on Dietary Energy Supply: Evidence from Cote d�Ivoire," HiCN Working Papers 156, Households in Conflict Network.
    10. repec:zib:zbseps:v:3:y:2023:i:2:p:66-71 is not listed on IDEAS
    11. Migotto, Mauro & Davis, Benjamin & Carletto, Calogero & Beegle, Kathleen, "undated". "Measuring food security using respondents' perception of food consumption adequacy," ESA Working Papers 289068, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    12. Sonia, Akter & Syed Abul, Basher, 2013. "The impacts of the global food and financial crises on household food security and economic well-being: evidence from Bangladesh," MPRA Paper 47859, University Library of Munich, Germany.
    13. Dabalen, Andrew L. & Paul, Saumik, 2014. "Effect of Conflict on Dietary Diversity: Evidence from Côte d’Ivoire," World Development, Elsevier, vol. 58(C), pages 143-158.
    14. Carlo del Ninno & Bradford Mills, 2015. "Safety Nets in Africa : Effective Mechanisms to Reach the Poor and Most Vulnerable [Les filets sociaux en Afrique]," World Bank Publications - Books, The World Bank Group, number 21369, April.
    15. Renuka Mahadevan & Vincent Hoang, 2016. "Is There a Link Between Poverty and Food Security?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 179-199, August.
    16. Vasco Molini, 2006. "Food Security in Vietnam during the 1990s: The Empirical Evidence," WIDER Working Paper Series RP2006-67, World Institute for Development Economic Research (UNU-WIDER).
    17. Scaramozzino, Pasquale, "undated". "Measuring vulnerability to food insecurity," ESA Working Papers 289055, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).

    More about this item

    Keywords

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    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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