{"title":"探索一人家庭的地域不均衡性和脆弱性的背景因素:来自意大利的证据","authors":"Federico Benassi , Alessia Naccarato , Pierluigi Vellucci","doi":"10.1016/j.seps.2024.102014","DOIUrl":null,"url":null,"abstract":"<div><p>New family structures have emerged in Italy in recent decades, with a trend towards smaller nuclear families due to demographic, social and economic changes. An aging population, marital disruptions, declining fertility, and later marriages have contributed to this trend. It is important to understand the changing needs of families, especially the vulnerable, from both an economic and social perspective. Vulnerability is often related to economic factors, but people living alone are often at risk. The goal of this study is to classify Italian municipalities based on the prevailing characteristics of their one-person households, identifying areas of greater or lesser fragility. This classification constitutes a tool to plan people-based policies. Starting from the 2020 Italian Permanent Population and Housing Census data, a decision algorithm was used to identify municipalities according to the different types of their one-person households and to study their geographical distribution throughout the country. Our results show there is an unexpected heterogeneity that goes far beyond the classical North–South divide, emphasizing the urgency of approaching the study of economic and social processes at the local level.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"95 ","pages":"Article 102014"},"PeriodicalIF":6.2000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0038012124002131/pdfft?md5=1e4f2a26710daebd6214aebfa5c1a11a&pid=1-s2.0-S0038012124002131-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring the territorial unevenness of one-person households and contextual factors of vulnerability: Evidence from the Italian context\",\"authors\":\"Federico Benassi , Alessia Naccarato , Pierluigi Vellucci\",\"doi\":\"10.1016/j.seps.2024.102014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>New family structures have emerged in Italy in recent decades, with a trend towards smaller nuclear families due to demographic, social and economic changes. An aging population, marital disruptions, declining fertility, and later marriages have contributed to this trend. It is important to understand the changing needs of families, especially the vulnerable, from both an economic and social perspective. Vulnerability is often related to economic factors, but people living alone are often at risk. The goal of this study is to classify Italian municipalities based on the prevailing characteristics of their one-person households, identifying areas of greater or lesser fragility. This classification constitutes a tool to plan people-based policies. Starting from the 2020 Italian Permanent Population and Housing Census data, a decision algorithm was used to identify municipalities according to the different types of their one-person households and to study their geographical distribution throughout the country. Our results show there is an unexpected heterogeneity that goes far beyond the classical North–South divide, emphasizing the urgency of approaching the study of economic and social processes at the local level.</p></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"95 \",\"pages\":\"Article 102014\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0038012124002131/pdfft?md5=1e4f2a26710daebd6214aebfa5c1a11a&pid=1-s2.0-S0038012124002131-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/S0038012124002131\",\"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/S0038012124002131","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Exploring the territorial unevenness of one-person households and contextual factors of vulnerability: Evidence from the Italian context
New family structures have emerged in Italy in recent decades, with a trend towards smaller nuclear families due to demographic, social and economic changes. An aging population, marital disruptions, declining fertility, and later marriages have contributed to this trend. It is important to understand the changing needs of families, especially the vulnerable, from both an economic and social perspective. Vulnerability is often related to economic factors, but people living alone are often at risk. The goal of this study is to classify Italian municipalities based on the prevailing characteristics of their one-person households, identifying areas of greater or lesser fragility. This classification constitutes a tool to plan people-based policies. Starting from the 2020 Italian Permanent Population and Housing Census data, a decision algorithm was used to identify municipalities according to the different types of their one-person households and to study their geographical distribution throughout the country. Our results show there is an unexpected heterogeneity that goes far beyond the classical North–South divide, emphasizing the urgency of approaching the study of economic and social processes at the local level.
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.