Scholarlink

<p>This paper proposes a novel approach to measuring food poverty in Italy by constructing a multidimensional indicator grounded in partially ordered set (posetic) theory. Using microdata from the 2022 Italian Household Budget Survey (HBS), this study develops composite achievement profiles that combine both objective and subjective dimensions of food-related deprivation, including food expenditure levels, at-risk-of-food-poverty status, the share of food in total household spending, and self-reported reductions in food quality and quantity. Unlike existing studies, often limited to unidimensional or qualitative assessments, this work applies a non-compensatory, ordinal robust framework to deliver a more comprehensive and fine-grained evaluation of food poverty. The posetic approach enables the classification of households into fully, partially, and non-deprived categories, preserving the multidimensional structure of deprivation and avoiding the loss of information typical of dichotomous or aggregated approaches. The findings reveal marked disparities across household types, regional contexts, and citizenship compositions, illustrating how intersecting forms of social and economic vulnerability shape food poverty. These results underscore the need for multidimensional and targeted policy responses that go beyond income-based measures alone.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysing Food Poverty in Vulnerable Italian Households: a Partially Ordered Set Approach

  • 期刊论文

  • 发表日期：

    2026年1月21日

查看全文
  • Ilaria Benedetti,
  • Chiara Grazini

摘要

This paper proposes a novel approach to measuring food poverty in Italy by constructing a multidimensional indicator grounded in partially ordered set (posetic) theory. Using microdata from the 2022 Italian Household Budget Survey (HBS), this study develops composite achievement profiles that combine both objective and subjective dimensions of food-related deprivation, including food expenditure levels, at-risk-of-food-poverty status, the share of food in total household spending, and self-reported reductions in food quality and quantity. Unlike existing studies, often limited to unidimensional or qualitative assessments, this work applies a non-compensatory, ordinal robust framework to deliver a more comprehensive and fine-grained evaluation of food poverty. The posetic approach enables the classification of households into fully, partially, and non-deprived categories, preserving the multidimensional structure of deprivation and avoiding the loss of information typical of dichotomous or aggregated approaches. The findings reveal marked disparities across household types, regional contexts, and citizenship compositions, illustrating how intersecting forms of social and economic vulnerability shape food poverty. These results underscore the need for multidimensional and targeted policy responses that go beyond income-based measures alone.