Multidimensional statistical analysis of social inequalities in Italy

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences Pub Date : 2024-06-26 DOI:10.1016/j.seps.2024.102005

Paola Perchinunno , Samuela L'Abbate , Corrado Crocetta , Leonardo Salvatore Alaimo

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引用次数: 0

Abstract

The analysis of social inequalities is a topic of current interest and is studied as a factor in the evolution and measurement of the level of well-being. A fundamental prerequisite for a correct statistical analysis of this phenomenon is the need to share a univocal definition of the concept of social inequalities. This work starts from the need to identify territorial areas and/or population subgroups characterized by situations of hardship or strong social exclusion through the construction of indicators that can estimate situations of social inequalities in small areas. Scientific research options have been oriented towards the establishment of a multidimensional approach, sometimes renouncing dichotomous logic to go as far as fuzzy classifications in which each unit simultaneously belongs and does not belong to the selected category. Multidimensional statistical analysis methodologies (TFR method) and Density Based Spatial Clustering methods (DBSCAN) will therefore be used to aggregate adjacent spatial units with high intensity of social inequalities.

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意大利社会不平等的多维统计分析

对社会不平等现象的分析是当前人们关注的一个话题，也是研究福祉水平演变和衡量的一个因素。对这一现象进行正确统计分析的一个基本前提是需要对社会不平等的概念有一个统一的定义。这项工作的出发点是，需要通过构建能够估计小地区社会不平等状况的指标，来确定以艰苦或严重社会排斥为特征的地区和/或人口亚群。科学研究选择的方向是建立多维方法，有时放弃二分法逻辑，而采用模糊分类法，其中每个单位同时属于和不属于选定的类别。因此，将采用多维统计分析方法（TFR 方法）和基于密度的空间聚类方法（DBSCAN）来聚合社会不平等程度较高的相邻空间单元。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.