The Rust Belt, the Sunbelt, and the Concentration of Poverty Within Large U.S. Cities

IF 0.6 Q4 ECONOMICS Review of Regional Studies Pub Date : 2019-12-05 DOI:10.52324/001c.11161
S. Hegerty
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引用次数: 4

Abstract

Previous research that has quantified the dispersion of U.S. urban poverty has often focused on metropolitan areas rather than on central cities themselves. Detroit, for example, shares a region with wealthy suburbs and thus appears to have concentrated poverty, but the city itself is uniformly poor and has few pockets of wealth. This study calculates four measures of household poverty concentration across block groups inside 74 U.S. cities, finding poor Rust Belt cities such as Detroit to have diffuse poverty. We also isolate a group of low-poverty, high-concentration cities in the U.S. South and West, as well as outliers that include Sunbelt cities with more diffuse poverty than predicted. Regression analysis finds the poverty rate itself to explain most of the variation in poverty concentration, with ethnic composition and the share of service employment also playing a potential role. Calculating changes in tract level poverty distributions from 2010 to 2015, we find that the concentration of poverty has decreased overall and that growth in the share of Hispanic residents might help explain these decreases.
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铁锈地带、阳光地带和美国大城市的贫困集中
以前量化美国城市贫困分布的研究往往集中在大都市地区,而不是中心城市本身。例如,底特律与富裕的郊区共享一个地区,因此似乎集中了贫困,但城市本身却普遍贫穷,几乎没有富人。这项研究计算了美国74个城市中不同街区的家庭贫困集中度的四种衡量标准,发现底特律等贫穷的“铁锈地带”城市存在分散性贫困。我们还隔离了美国南部和西部的一组低贫困、人口高度集中的城市,以及包括阳光地带城市在内的异常值,这些城市的贫困比预期的更为分散。回归分析发现贫困率本身可以解释贫困集中的大部分变化,种族构成和服务业就业的份额也起着潜在的作用。通过计算2010年至2015年地区贫困分布的变化,我们发现贫困的集中度总体上有所下降,西班牙裔居民比例的增长可能有助于解释这些下降。
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
CiteScore
1.20
自引率
22.20%
发文量
13
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