Adopting the fuzzy approach to analyze food poverty in Italy: A study on vulnerable households using household budget survey data

IF 6.2 2区经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2024-06-29 DOI:10.1016/j.seps.2024.102006

Ilaria Benedetti, Federico Crescenzi, Tiziana Laureti, Luca Secondi

{"title":"Adopting the fuzzy approach to analyze food poverty in Italy: A study on vulnerable households using household budget survey data","authors":"Ilaria Benedetti, Federico Crescenzi, Tiziana Laureti, Luca Secondi","doi":"10.1016/j.seps.2024.102006","DOIUrl":null,"url":null,"abstract":"<div><p>Besides international efforts to address poverty and hunger, there are still many disparities among households, therefore innovative approaches and techniques are required to address the multiple facets of poverty, especially food poverty.</p><p>Given the complexity in defining this phenomenon, the fuzzy approach based on an expenditure-related metric is adopted as it provides valuable insights into the Italian food poverty situation thus improving the results generally provided using by the classical binary (or crisp) set theory.</p><p>By considering the equivalised household food expenditure obtained from the 2021 Italian Household Budget Survey data, the fuzzy set approach is used to measure food poverty paying particular attention to vulnerable households at a detailed territorial level. The results show that food poverty is lower in the Northern-Central regions than in Southern Italy and highlight the vulnerability of families with children and single-parent households.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0038012124002052/pdfft?md5=3de88016d7b9cf4706c34075e9800ab8&pid=1-s2.0-S0038012124002052-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124002052","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 0

Abstract

Besides international efforts to address poverty and hunger, there are still many disparities among households, therefore innovative approaches and techniques are required to address the multiple facets of poverty, especially food poverty.

Given the complexity in defining this phenomenon, the fuzzy approach based on an expenditure-related metric is adopted as it provides valuable insights into the Italian food poverty situation thus improving the results generally provided using by the classical binary (or crisp) set theory.

By considering the equivalised household food expenditure obtained from the 2021 Italian Household Budget Survey data, the fuzzy set approach is used to measure food poverty paying particular attention to vulnerable households at a detailed territorial level. The results show that food poverty is lower in the Northern-Central regions than in Southern Italy and highlight the vulnerability of families with children and single-parent households.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

采用模糊方法分析意大利的粮食贫困问题：利用家庭预算调查数据对弱势家庭进行研究

除了国际社会为解决贫困和饥饿问题所做的努力之外，家庭之间仍然存在许多差异，因此需要创新的方法和技术来解决贫困的多个方面，尤其是食品贫困。鉴于定义这种现象的复杂性，我们采用了基于支出相关度量的模糊方法，因为这种方法为意大利的食品贫困状况提供了宝贵的见解，从而改进了通常使用经典二元（或清晰）集合理论所提供的结果。通过考虑从 2021 年意大利家庭预算调查数据中获得的等价家庭食品支出，采用模糊集方法来衡量食品贫困，并在详细的地区层面上特别关注弱势家庭。结果显示，意大利中北部地区的粮食贫困率低于南部地区，并突出了有子女家庭和单亲家庭的脆弱性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

9.40

自引率

13.10%

发文量

294

审稿时长

58 days

期刊介绍： Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.