移民与不平等:来自北卡罗来纳州一个新兴门户大都市区的证据

IF 0.6 Q3 GEOGRAPHY Southeastern Geographer Pub Date : 2023-11-19 DOI:10.1353/sgo.2023.a912265
Nabeela Farhat, Selima Sultana
{"title":"移民与不平等:来自北卡罗来纳州一个新兴门户大都市区的证据","authors":"Nabeela Farhat, Selima Sultana","doi":"10.1353/sgo.2023.a912265","DOIUrl":null,"url":null,"abstract":"abstract:Socioeconomic inequalities among foreign-born populations in the United States in minor-emerging gateways are rarely discussed in existing inequality literature. This study helps to fill that gap by examining inequality and spatial integration among immigrant, US–born White, and Black populations in a minor gateway metropolitan area of Greensboro–High Point, NC. The 2020 Census five-year (2016–2020) estimate of American Community Survey (ACS) housing and demographic data, the location quotient (LQ), Lorenz curve, and Gini Index are utilized. The LQ values suggest immigrant groups are more concentrated with Black populations than White populations, but US–born Black and White populations are far more segregated than immigrant groups. Lorenz curve and Gini coefficients confirm that White populations experience the least inequality while the greatest income inequality exists among US–born Black populations, followed by immigrant populations. Further, disparities in income are greater for immigrants living in their underrepresented communities than those who live in overrepresented neighborhoods. The study concludes that immigrant populations living in segregated neighborhoods with a higher proportion of racial and ethnic minorities have lower education and English language competency than those living in neighborhoods with a higher percentage of US–born residents, and hence have lower income inequality among populations.","PeriodicalId":45528,"journal":{"name":"Southeastern Geographer","volume":"195 1","pages":"340 - 365"},"PeriodicalIF":0.6000,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Immigrants and Inequality: Evidence from a Minor-Emerging Gateway Metropolitan Area in NC\",\"authors\":\"Nabeela Farhat, Selima Sultana\",\"doi\":\"10.1353/sgo.2023.a912265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"abstract:Socioeconomic inequalities among foreign-born populations in the United States in minor-emerging gateways are rarely discussed in existing inequality literature. This study helps to fill that gap by examining inequality and spatial integration among immigrant, US–born White, and Black populations in a minor gateway metropolitan area of Greensboro–High Point, NC. The 2020 Census five-year (2016–2020) estimate of American Community Survey (ACS) housing and demographic data, the location quotient (LQ), Lorenz curve, and Gini Index are utilized. The LQ values suggest immigrant groups are more concentrated with Black populations than White populations, but US–born Black and White populations are far more segregated than immigrant groups. Lorenz curve and Gini coefficients confirm that White populations experience the least inequality while the greatest income inequality exists among US–born Black populations, followed by immigrant populations. Further, disparities in income are greater for immigrants living in their underrepresented communities than those who live in overrepresented neighborhoods. The study concludes that immigrant populations living in segregated neighborhoods with a higher proportion of racial and ethnic minorities have lower education and English language competency than those living in neighborhoods with a higher percentage of US–born residents, and hence have lower income inequality among populations.\",\"PeriodicalId\":45528,\"journal\":{\"name\":\"Southeastern Geographer\",\"volume\":\"195 1\",\"pages\":\"340 - 365\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Southeastern Geographer\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1353/sgo.2023.a912265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Southeastern Geographer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/sgo.2023.a912265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

摘要:现有的不平等文献很少讨论美国次新兴门户地区外国出生人口的社会经济不平等问题。本研究通过考察北卡罗来纳州格林斯博罗-高点(Greensboro-High Point)次要门户都市区的移民、美国出生的白人和黑人人口之间的不平等和空间融合,有助于填补这一空白。研究利用了 2020 年人口普查五年(2016-2020 年)美国社区调查(ACS)住房和人口数据的估计值、位置商数(LQ)、洛伦兹曲线和基尼系数。LQ 值表明,移民群体与黑人人口的集中程度高于白人人口,但在美国出生的黑人和白人人口的隔离程度远高于移民群体。洛伦兹曲线和基尼系数证实,白人人口的不平等程度最低,而美国出生的黑人人口的收入不平等程度最高,其次是移民人口。此外,生活在代表性不足社区的移民的收入差距要大于生活在代表性过高社区的移民。研究得出的结论是,与美国出生居民比例较高的社区相比,生活在种族和族裔少数群体比例较高的隔离社区的移民人口受教育程度和英语语言能力较低,因此人口之间的收入不平等程度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Immigrants and Inequality: Evidence from a Minor-Emerging Gateway Metropolitan Area in NC
abstract:Socioeconomic inequalities among foreign-born populations in the United States in minor-emerging gateways are rarely discussed in existing inequality literature. This study helps to fill that gap by examining inequality and spatial integration among immigrant, US–born White, and Black populations in a minor gateway metropolitan area of Greensboro–High Point, NC. The 2020 Census five-year (2016–2020) estimate of American Community Survey (ACS) housing and demographic data, the location quotient (LQ), Lorenz curve, and Gini Index are utilized. The LQ values suggest immigrant groups are more concentrated with Black populations than White populations, but US–born Black and White populations are far more segregated than immigrant groups. Lorenz curve and Gini coefficients confirm that White populations experience the least inequality while the greatest income inequality exists among US–born Black populations, followed by immigrant populations. Further, disparities in income are greater for immigrants living in their underrepresented communities than those who live in overrepresented neighborhoods. The study concludes that immigrant populations living in segregated neighborhoods with a higher proportion of racial and ethnic minorities have lower education and English language competency than those living in neighborhoods with a higher percentage of US–born residents, and hence have lower income inequality among populations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.10
自引率
14.30%
发文量
33
期刊介绍: The Southeastern Geographer is a biannual publication of the Southeastern Division of Association of American Geographers. The journal has published the academic work of geographers and other social and physical scientists since 1961. Peer-reviewed articles and essays are published along with book reviews, organization and conference reports, and commentaries. The journal welcomes manuscripts on any geographical subject as long as it reflects sound scholarship and contains significant contributions to geographical understanding.
期刊最新文献
Latino Orlando: Suburban Transformation and Racial Conflict by Simone Delerme (review) Unraveling the Nature of Southeastern Lianas Post-Pandemic Urban Form: Tentative Signs of Office Recentralization in Charlotte Immigrants and Inequality: Evidence from a Minor-Emerging Gateway Metropolitan Area in NC Gauging Geography's Vitality through National and Regional Organizations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1