Income Inequality across Micro and Meso Geographic Scales in the Midwestern United States, 1979–2009
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Auteurs : David J. PetersSource :
- Rural Sociology [ 0036-0112 ] ; 2012-06.
Abstract
This article examines the spatial distribution of income inequality and the socioeconomic factors affecting it using spatial analysis techniques across 16,285 block groups, 5,050 tracts, and 618 counties in the western part of the North Central Region of the United States. Different geographic aggregations result in different inequality outcomes, suggesting spatial scale needs to be carefully considered in inequality research. Inequality is spatially clustered in suburban areas of larger metro areas and around Native American reservations in the Dakotas. Higher inequality is associated with better socioeconomic conditions, counter to the social inequality literature but consistent with the inequality growth literature. However, growing inequality is associated with worse socioeconomic outcomes. Results partially support the polarization thesis that declines in industrial sectors and growth in services has caused incomes to diverge. Higher and growing inequality is associated with both low‐skill and high‐skill services jobs. However, employment in agricultural and industrial sectors experiencing large losses over the past three decades is also linked to higher and growing inequality. This suggests a dual process where many former agricultural and industrial workers are now employed in other sectors at lower wages, while the remaining workers in these sectors earn higher and growing wages.
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DOI: 10.1111/j.1549-0831.2012.00077.x
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<front><div type="abstract" xml:lang="en">This article examines the spatial distribution of income inequality and the socioeconomic factors affecting it using spatial analysis techniques across 16,285 block groups, 5,050 tracts, and 618 counties in the western part of the North Central Region of the United States. Different geographic aggregations result in different inequality outcomes, suggesting spatial scale needs to be carefully considered in inequality research. Inequality is spatially clustered in suburban areas of larger metro areas and around Native American reservations in the Dakotas. Higher inequality is associated with better socioeconomic conditions, counter to the social inequality literature but consistent with the inequality growth literature. However, growing inequality is associated with worse socioeconomic outcomes. Results partially support the polarization thesis that declines in industrial sectors and growth in services has caused incomes to diverge. Higher and growing inequality is associated with both low‐skill and high‐skill services jobs. However, employment in agricultural and industrial sectors experiencing large losses over the past three decades is also linked to higher and growing inequality. This suggests a dual process where many former agricultural and industrial workers are now employed in other sectors at lower wages, while the remaining workers in these sectors earn higher and growing wages.</div>
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<abstract lang="en">This article examines the spatial distribution of income inequality and the socioeconomic factors affecting it using spatial analysis techniques across 16,285 block groups, 5,050 tracts, and 618 counties in the western part of the North Central Region of the United States. Different geographic aggregations result in different inequality outcomes, suggesting spatial scale needs to be carefully considered in inequality research. Inequality is spatially clustered in suburban areas of larger metro areas and around Native American reservations in the Dakotas. Higher inequality is associated with better socioeconomic conditions, counter to the social inequality literature but consistent with the inequality growth literature. However, growing inequality is associated with worse socioeconomic outcomes. Results partially support the polarization thesis that declines in industrial sectors and growth in services has caused incomes to diverge. Higher and growing inequality is associated with both low‐skill and high‐skill services jobs. However, employment in agricultural and industrial sectors experiencing large losses over the past three decades is also linked to higher and growing inequality. This suggests a dual process where many former agricultural and industrial workers are now employed in other sectors at lower wages, while the remaining workers in these sectors earn higher and growing wages.</abstract>
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