2020
DOI: 10.1177/2378023119896896
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Is Urbanization Good for the Climate? A Cross-County Analysis of Impervious Surface, Affluence, and the Carbon Intensity of Well-Being

Abstract: We contribute to literature exploring the socioecological impact of urban development as a multidimensional project, one in which changes to landscape features complement changes in demographic and administrative measures to co-constitute the socioecological impact of urbanity. We use a random coefficients modeling approach to examine U.S. relationships between the intensity of impervious surface within a county, population density in impervious areas, and carbon intensity of well-being (CIWB)—here constructed… Show more

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Cited by 10 publications
(3 citation statements)
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References 52 publications
(110 reference statements)
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“…Research in environmental sociology demonstrates the importance of economic development in the formation of environmental degradation (Smith and Lengefeld 2020;York, Rosa, and Dietz 2003), and thus we include a measure of economic development, county-level gross domestic product (GDP) per capita and its quadratic from the Bureau of Economic Analysis for the year 2014. Previous research demonstrates that metro areas report greater air pollution, and we employ the county-level metropolitan area status derived from the USDA ERS Rural-Urban Continuum Codes (Greiner, Shtob, and Besek 2020;Jorgenson et al 2010;Li evanos 2019b). Recent research stresses the importance of income inequality, so we use the county-level Gini Index, a widely used measure of inequality that is scaled from 0 to 1 and came from the ACS (Hill et al 2019).…”
Section: Additional Independent Variablesmentioning
confidence: 99%
“…Research in environmental sociology demonstrates the importance of economic development in the formation of environmental degradation (Smith and Lengefeld 2020;York, Rosa, and Dietz 2003), and thus we include a measure of economic development, county-level gross domestic product (GDP) per capita and its quadratic from the Bureau of Economic Analysis for the year 2014. Previous research demonstrates that metro areas report greater air pollution, and we employ the county-level metropolitan area status derived from the USDA ERS Rural-Urban Continuum Codes (Greiner, Shtob, and Besek 2020;Jorgenson et al 2010;Li evanos 2019b). Recent research stresses the importance of income inequality, so we use the county-level Gini Index, a widely used measure of inequality that is scaled from 0 to 1 and came from the ACS (Hill et al 2019).…”
Section: Additional Independent Variablesmentioning
confidence: 99%
“…We examined impervious area as another measure of urbanization. Impervious area is related to population density but captures a distinct component of urbanization related to land use/cover change 65 , 66 . We derived impervious area metrics for each PURE community using the global artificial impervious area (GAIA) dataset 67 .…”
Section: Methodsmentioning
confidence: 99%
“…ISAs are ground surfaces through which water cannot penetrate, such as surfaces covered by buildings, hardened pavement, and stadiums [4]. As the impervious surface is closely related to commercial, industrial, and residential areas, it has been widely applied as an important indicator of land use/land cover transformation from natural features to urban features [5][6][7]. From an urban hydrology perspective, the increasing coverage of impervious surfaces increases the speed and volume of urban surface runoff, greatly increasing the pressure on municipal drainage and flood control [1].…”
Section: Introductionmentioning
confidence: 99%