Abstract
This chapter links individual- and household-level data from the nationally representative Panel Study of Income Dynamics (PSID) with neighborhood-level environmental hazard data derived from the Environmental Protection Agency’s (EPA) Toxics Release Inventory (TRI) in order to determine whether regional differences in environmental inequality exist at the household level. The data cover nearly every metropolitan area in the contiguous US from 1990 to 2005, we divide the contiguous US into nine regions, and we use Geographic Information System (GIS) software to weight the potential impact of each TRI facility inversely according to geographic distance. Results indicate that the existence and magnitude of environmental racial inequality, as well as the role that race, income and other household characteristics play in shaping this inequality, vary in important ways across the nine regions of the country. This has important implications for environmental inequality and public health research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
In this study, the average number of grid cells per tract is 54 with a minimum of 1 and a maximum of 1,176. Since researchers have not developed a commonly accepted distance decay weighting scheme, we have experimented with alternative distance decay functions to estimate proximity to industrial hazards. In doing this, we have altered not only the equations, but also the size of the grid-cells and the distance at which industrial sites are no longer considered influential (the threshold distance at which the distance decay weights reach zero). However, in prior research, altering the distance decay model in these ways has had only minor substantive impact on our results (see Crowder and Downey, 2010).
- 2.
Residential mobility researchers also routinely employ variables such as marital status, the presence of children in the family, home ownership, and household crowding. However, we do not include these controls in our models because they are predictors of the decision to move rather than of residential location.
- 3.
A small, but statistically influential, number of Hispanic respondents in the East North Central region lived in a single tract with extremely high pollution proximity values (in our sample, very few census tracts have multiple respondents during any single year). Thus, to avoid biasing the results for this region, we restricted the region’s observations to respondents living in neighborhoods with pollution proximity scores of less than 1,000. Restricting the data in this way greatly reduces the gross Hispanic pollution proximity value for the region, while reducing the proximity values for blacks and whites in the region only slightly. As a result, these findings and the regression results reported below may underestimate the Hispanic/black and Hispanic/white pollution gap in the East North Central region.
References
Alba RD, Logan JR, Stults BJ, Marzan G, Zhang. W (1999) Immigrant groups in the suburbs: a reexamination of suburbanization and spatial assimilation. Am Sociol Rev 64:446–460
Ash M, Fetter. TR (2004) Who lives on the wrong side of the environmental tracks? evidence from the EPA’s risk-screening Environmental Indicators Model. Soc Sci Q 85:441–462
Boardman J, Downey L, Jackson JS, Merrill JB, Saint Onge JM, Williams DR (2009) Proximate industrial activity and psychological distress. Popul Environ 30:3–25
Brown P, Ciambrone D, Hunter. L (1997) Does “Green” mask grey? environmental equity issues at the metropolitan level. Int J Contemp Sociol 34:141–158
Bullard R (1993) Confronting environmental racism. South End Press. Boston, MA
Crowder, K, Downey L (2010) Inter-neighborhood migration, race, and environmental hazards: modeling microlevel processes of environmental inequality. Am J Sociol 115(4):1110–1149
Crowder KD, South. SJ (2005) Race, class, and changing patterns of migration between poor and nonpoor neighborhoods. Am J Sociol 110:1715–1763
Derezinski DD, Lacy MG, Stretesky. PB (2003) Chemical accidents in the United States, 1990–1996. Soc Sci Q 84:122–143
Downey L (2005) The unintended significance of race: environmental racial inequality in detroit. Soc Forces 83:305–341
Downey L (2006a) Environmental inequality in metropolitan America in 2000. Sociol Spectr 26:21–41
Downey L (2006b) Environmental racial inequality in Detroit. Soc Forces 85:771–796
Downey L (2007) US metropolitan-area variation in environmental inequality outcomes. Urban Stud 44:953–977
Downey L, Van Willigen. M (2005) Environmental stressors: the mental health impacts of living near industrial activity. J Health Soc Behav 46:289–305
Evans GW, Kantrowitz E (2002) Socioeconomic status and health: the potential role of environmental risk exposure. Annu Rev Public Health 23:303–331
Gee GC, Payne-Sturgess. DC (2004) Environmental health disparities: A framework integrating psychosocial and environmental concepts. Environ Health Perspect 112:1645–1653
Hunter LM, White MJ, Little JS, Sutton. J (2003) Environmental hazards, migration, and race. Popul Environ 25:23–39
Lopez R (2002) Segregation and black/white differences in exposure to air toxics in 1990. Environ Health Perspect 110(Suppl 2):289–295
Maantay J (2007) Asthma and air pollution in the Bronx: methodological and data considerations in using GIS for environmental justice and health research. Health Place 13:32–56
Massey DS, Denton. NA (1993) American apartheid: segregation and the making of the underclass. Harvard University Press. Cambridge, MA
Mennis J (2002) Using geographic information systems to create and analyze statistical surfaces of population and risk for environmental justice analysis. Soc Sci Q 83:281–297
Mohai P, Saha. R (2006) Reassessing racial and socioeconomic disparities in environmental justice research. Demography 43:383–399
Mohai P, Saha. R (2007) Racial inequality in the distribution of hazardous waste: a national-level reassessment. Soc Probl 54:343–370
Morello-Frosch R, Lopez R (2006) The Riskscape and the color line: examining the role of segregation in environmental health disparities. Environ Res 102:181–196
Morello-Frosch R, Pastor M, Sadd J (2001) Environmental justice and southern California’s “Riskscape”: the distribution of air toxics exposures and health risks among diverse communities. Urban Aff Rev 36:551–578
Morrello-Frosch R, Jesdale. BM (2006) Separate and unequal: residential segregation and estimated cancer risks associated with ambient air toxics in US metropolitan areas. Environ Health Perspect 114:1–8
Northridge ME, Stover gn, Rosenthal JE, Sherard. D (2003) Environmental equity and health: understanding complexity and moving forward. Am J Public Health 93:209–214
Oakes JM, Anderton, DL, Anderson AB (1996) A longitudinal analysis of environmental equity in communities with hazardous waste facilities. Soc Sci Res 25:125–148
Pastor M, Sadd JL, Morello-Frosch R (2002) Who’s minding the kids? pollution, public schools, and environmental justice in los angeles. Soc Sci Q 83:263–280
Perlin SA, Setzer RW, Creason J, Sexton K (1995) Distribution of industrial air emissions by income and race in the United States: an approach using the toxic release inventory. Environ Sci Technol 29:69–80
Ross SL, Yinger J (2002) The color of credit: mortgage discrimination, research methodology, and fair-lending enforcement. The MIT Press. Cambridge
Shlay AB, Rossi. PH (1981) Keeping up the neighborhood: estimating net effects of zoning. Am Sociol Rev 46:703–719
South SJ, Crowder. KD (1997) Escaping distressed neighborhoods: individual, community, and metropolitan influences. Am J Sociol 102:1040–1084
Stretesky P, Lynch. M (2002) Environmental hazards and school segregation in Hillsborough County, Florida, 1987–1999. Sociol Q 43:553–573
Yinger J (1995) Closed doors, opportunities lost: the continuing costs of housing discrimination. Russell Sage Foundation. New York, NY
Acknowledgments
Direct all correspondence to Liam Downey, Department of Sociology, University of Colorado, 219 Ketchum Hall, UCB 327, Boulder, CO 80309. 303-492-8626 (Liam.Downey@colorado.edu). This research was supported by a development grant to the first author from the NICHD funded University of Colorado Population Center, and grants to the second author (R21 HD049610) and to both authors (R21 HD058708) from the National Institute of Child Health and Human Development.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Downey, L., Crowder, K. (2011). Using Distance Decay Techniques and Household-Level Data to Explore Regional Variation in Environmental Inequality. In: Maantay, J., McLafferty, S. (eds) Geospatial Analysis of Environmental Health. Geotechnologies and the Environment, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0329-2_19
Download citation
DOI: https://doi.org/10.1007/978-94-007-0329-2_19
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0328-5
Online ISBN: 978-94-007-0329-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)