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Besma Belhadj

Biographic Data

ID359571
NAMEBesma Belhadj
GIVEN NAMESBesma
FAMILY NAMEBelhadj
SIGNATUREBELHADJ B
AFFILIATIONSTunis El Manar University
ORCID0000-0001-7464-6208
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Beyond Transplanted Thresholds: Country‐Calibrated Fuzzy Water Poverty Indices for SDG ‐6 in Mena

    Open Access•Besma Belhadj, Mohamed Neffati et al.•ARTICLE•Sustainable Development•2026

    Cross‐country water poverty assessments in the Middle East and North Africa (MENA) often rely on transplanted benchmarks—most notably a 5% water‐expenditure share and a 30‐min access rule. Such uniform cut‐offs can overlook differences in tariff structures, consumption patterns, settlement conditions, and service reliability, thereby weakening the policy relevance of SDG‐6 diagnostics. This paper develops a country‐calibrated fuzzy water poverty …

  • Stochastic Fuzzy Indices: A Probabilistic-Measure-Theoretic Framework for the Imprecision and Randomness of Poverty

    Open Access•Firas Kaabi, Gianni Betti et al.•ARTICLE•Social Indicators Research•2026•References: 1

  • Fuzzy Version of Gini’s Index

    Open Access•Besma Belhadj, Firas Kaabi et al.•ARTICLE•Social Indicators Research•2021•References: 1

  • Multidimensional poverty measurement in Tunisia: Distribution of Deprivations Across Regions

    Khaled Nasri, Besma Belhadj•ARTICLE•The Journal of North African…•2017•Cited by: 2•References: 21

    In this paper, we analyze multidimensional poverty in the different regions of Tunisia. The counting approach is used to identify households that are multidimensionally poor and to calculate poverty rates in different geographic areas in Tunisia. In this research, special emphasis is placed on the subgroup decomposability property and the dimensional breakdown. This approach helps us to understand the contribution of each region to the national p…

  • Multidimensional poverty measurement in Tunisia: Distribution of Deprivations Across Regions

    Khaled Nasri, Besma Belhadj•ARTICLE•The Journal of North African…•2017•Cited by: 2•References: 21

    In this paper, we analyze multidimensional poverty in the different regions of Tunisia. The counting approach is used to identify households that are multidimensionally poor and to calculate poverty rates in different geographic areas in Tunisia. In this research, special emphasis is placed on the subgroup decomposability property and the dimensional breakdown. This approach helps us to understand the contribution of each region to the national p…

  • Multidimensional poverty measurement in Tunisia: Distribution of Deprivations Across Regions

    Khaled Nasri, Besma Belhadj•ARTICLE•The Journal of North African…•2017•Cited by: 2•References: 21

    In this paper, we analyze multidimensional poverty in the different regions of Tunisia. The counting approach is used to identify households that are multidimensionally poor and to calculate poverty rates in different geographic areas in Tunisia. In this research, special emphasis is placed on the subgroup decomposability property and the dimensional breakdown. This approach helps us to understand the contribution of each region to the national p…

  • Fuzzy Version of Gini’s Index

    Open Access•Besma Belhadj, Firas Kaabi et al.•ARTICLE•Social Indicators Research•2021•References: 1

  • Beyond Transplanted Thresholds: Country‐Calibrated Fuzzy Water Poverty Indices for SDG ‐6 in Mena

    Open Access•Besma Belhadj, Mohamed Neffati et al.•ARTICLE•Sustainable Development•2026

    Cross‐country water poverty assessments in the Middle East and North Africa (MENA) often rely on transplanted benchmarks—most notably a 5% water‐expenditure share and a 30‐min access rule. Such uniform cut‐offs can overlook differences in tariff structures, consumption patterns, settlement conditions, and service reliability, thereby weakening the policy relevance of SDG‐6 diagnostics. This paper develops a country‐calibrated fuzzy water poverty …

  • Stochastic Fuzzy Indices: A Probabilistic-Measure-Theoretic Framework for the Imprecision and Randomness of Poverty

    Open Access•Firas Kaabi, Gianni Betti et al.•ARTICLE•Social Indicators Research•2026•References: 1

Income, Poverty, and Inequality (3 works) · Economics (2 works) · Index (typography (2 works) · Mathematics (2 works) · Measure (data warehouse (2 works) · Poverty (2 works) · Robustness (evolution (2 works) · Advanced Mathematical Theories (1 works) · Axiom (1 works) · Bivariate analysis (1 works)

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