{"title":"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","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":"95 ","pages":"Article 102006"},"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":"{\"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\":\"95 \",\"pages\":\"Article 102006\"},\"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}","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}
Adopting the fuzzy approach to analyze food poverty in Italy: A study on vulnerable households using household budget survey data
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.
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.