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Household Vulnerability and Resilience in Tunisia: Evidence Using Fuzzy Sets and Multidimensional Approach

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  • Khaled Nasri
  • Besma Belhadj

Abstract

This paper aims to analyse the vulnerability to multidimensional poverty in Tunisia using a dual cut-off identification method and the fuzzy sets approach to estimate the degree of resilience for each household identified vulnerable. The results obtained allowed us to understand the sources of vulnerability in the different Tunisian regions. There is clear evidence that the number of vulnerable households grows as the degree of vulnerability increases and the size of vulnerable groups depends on the source of deprivation. Individuals with a high degree of membership are in a state of extreme vulnerability, and their abilities to cope with shock effects are low; they are exposed to the risk of experiencing poverty in the future. Preventive policies must consider their situations in order to eradicate poverty in all its forms and dimensions. JEL Classifications: C1, D6, I3

Suggested Citation

  • Khaled Nasri & Besma Belhadj, 2024. "Household Vulnerability and Resilience in Tunisia: Evidence Using Fuzzy Sets and Multidimensional Approach," Studies in Microeconomics, , vol. 12(2), pages 135-153, August.
    • Handle: RePEc:sae:miceco:v:12:y:2024:i:2:p:135-153
    DOI: 10.1177/23210222221098836
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    References listed on IDEAS

    as
    1. Mozaffar Qizilbash, 2002. "A note on the measurement of poverty and vulnerability in the South African context," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(6), pages 757-772.
    2. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    3. Khaled Nasri, 2022. "Poverty-alleviation programs in Tunisia: selection processes and targeting performance indicators at the regional level," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 49(4), pages 629-650, February.
    4. Naouel Chtioui & Mohamed Ayadi, 2013. "A Non-Monetary Multidimensional Poverty Analysis of Tunisia Using Generalized Sen-Shorrocks-Thon Measures," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Valerie Berenger & Florent Bresson (ed.), Poverty and Social Exclusion around the Mediterranean Sea, edition 127, chapter 0, pages 143-179, Springer.
    5. Nasri, Khaled & Belhadj, Besma, 2017. "Multidimensional Poverty Measurement in Tunisia: Distribution of Deprivations across Regions," MPRA Paper 83318, University Library of Munich, Germany.
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    8. Besma Belhadj & Mohamed Salah Matoussi, 2010. "Poverty in Tunisia: A Fuzzy Measurement Approach," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(II), pages 431-450, June.
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    11. Belhadj, Besma, 2012. "New weighting scheme for the dimensions in multidimensional poverty indices," Economics Letters, Elsevier, vol. 116(3), pages 304-307.
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    Keywords

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D6 - Microeconomics - - Welfare Economics
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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