{"title":"Dimensions and dynamics of spatial wage inequality in Seoul, 2006 to 2018","authors":"Sam Ock Park, Homin Yang, Jong-sung You","doi":"10.1080/23792949.2023.2199837","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study analysed the dimensions and patterns of spatial wage income inequality in Seoul from 2006 to 2018. A Theil decomposition was applied to National Health Insurance Service administrative big data of all Seoul residents. Three distinct dimensions of spatial wage inequality (‘regional wage income differences’, ‘within-regions income inequality’ and ‘between-regions income inequality’) were confirmed using factor analysis. A subsequent cluster analysis identified four major district patterns of wage inequality evolutions, including a pattern of triple ‘highs’ and another of triple ‘lows’ of average wage income, within-low-level administrative areas (dongs) inequality and between-dongs inequality. These dimensions and dynamic patterns of spatial income inequality in Seoul were interlinked and they co-evolved with the development of the city and community development policies.","PeriodicalId":31513,"journal":{"name":"Area Development and Policy","volume":"8 1","pages":"274 - 297"},"PeriodicalIF":1.8000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Area Development and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23792949.2023.2199837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This study analysed the dimensions and patterns of spatial wage income inequality in Seoul from 2006 to 2018. A Theil decomposition was applied to National Health Insurance Service administrative big data of all Seoul residents. Three distinct dimensions of spatial wage inequality (‘regional wage income differences’, ‘within-regions income inequality’ and ‘between-regions income inequality’) were confirmed using factor analysis. A subsequent cluster analysis identified four major district patterns of wage inequality evolutions, including a pattern of triple ‘highs’ and another of triple ‘lows’ of average wage income, within-low-level administrative areas (dongs) inequality and between-dongs inequality. These dimensions and dynamic patterns of spatial income inequality in Seoul were interlinked and they co-evolved with the development of the city and community development policies.