Environmental Justice: Process and Inequality Charlie Lord BC Law School Environmental Studies Program Boston College EJ Theory Suggests Communities of Color have: More environmental disamenities Fewer environmental amenities Less access to decision-making processes How has the environmental injustice case been presented? Examination of patterns of amenities/disamenities MA Study by Faber & Kreig Minority communities average more than 4 x’s the number of hazardous waste sites Minority communities exposed to nearly 5 x’s as many lbs. of chemicals MA Study by Faber and Kreig Low income communities exposed to nearly 7 x’s as many lbs. of chemicals Low income communities average nearly 2.5 x’s more waste sites and 4 x’s as many waste sites per square mile National Data Robert Bullard Study: 2008 2000 Census Data Over 9 million people live within 3 Km of a commercial waste facility These neighborhoods are 56% people of color Non-host communities are 30% people of color Percentage comparisons: African American 1.8 times greater Hispanic/Latino 2.3 times greater Asian/Pacific Islander 1.8 times greater National Data Metropolitan Issue Host areas are densely populated 870 people/sq. km 83% of sites are in metro areas (343 sites) Socio-economic disparities Poverty rates 1.5x higher in host areas Mean household income is 15% lower Methodology Critiques Definition of minority Unit of analysis Summary: General pattern of distributional inequity Regulatory Salience Critique Distributive injustice alone: Not a concern Post-siting market dynamics Absent evidence of discrimination or procedural bias Which came first: The hazard or the distribution? Community Preference Blais: Market in preferences works well enough to conclude that, overall, disparities are generally justified by differing preferences. Legal and Political Implications Political Force “Racism”: Contemporary moral strength Connection to structural repression Constitutional Analysis Narrower Purposeful conduct Consciousness of race as motivating factor Individual actor Response Market critique Cole and Foster Accept the critique Response: structural racism Economic and social factors Segregation in housing Lack of political power Distributive outcomes are unjust Community Preferences Kaswan Similarly: Structural racism suggests community preferences are not met Implications Legal and political force measured by: Distance from Individual Actor Distance from race as decisional factor Or at least consciousness of race as motivating factor What’s Different About Our Study? Outcome equity vs. Process equity Process-Equity Analysis Focuses on processes that create outcome inequity Especially evidence of race as a known causal factor Examples: hazardous waste facility/incinerator siting, court decisions, zoning maps and decisions Our Hypothesis Land use processes over time situate disproportionate amount of disamenities in low income/minority communities Race was a motivating factor How are we testing this hypothesis? Step 1: Gather data re “noxious use” decisions Step 2: Overlay locations with race/income data Step 3: Determine if patterns of inequity exist Step 4: If yes, review and analyze decisional record Zoning Determines where certain uses can occur Allocation of Land Uses As of right Conditional Use Research Plan Zoning Maps Conditional Use Decisions 1931-1971(Presumptive right) City Council 1971 to present (Specified as of right/conditional) City Council Zoning Board of Appeals What data have we found? Zoning Board of Appeals Decisions City Council records Scale Reviewed every decision 1931-present (10,000) Pulled 3000 decisions for review Entered 1000 records relevant to environmental disamenities How did we categorize data? Incinerators Recycling facilities Penal/correctional facilities Garage/open parking lot 100+ housing unit Other uses with environmental impacts Example of ZBA Spreadsheet Docket # Year Code Use/Disamenity Location 6-60 1960 6 slaughter house 1242 Hargest Lane 475-89 1989 2 waste recycling plant 500 Chemical Rd App. 182-90 1990 2 landfill 3115 ft. w. of Decision App. App. Patapsco Ave. on Baltin 277-91 1991 1 incinerator 3204-3214 Hawkins Pt. Rd. Disapp. 113-93 1993 4 auto repair shop 3146-3158 Wilkens Ave. Disapp. Example of Ordinance Spreadsheet Number Year Code Disamenity 128 1940 6 176 1952 6 779 1957 2 1099 1971 1 Incinerator 304 1998 4 Open Area Parking Lot Location Oil Storage Tank for Power Plant Smelting Plant Scrap iron and metals 2101-2121 Kloman St. N. side of Open St. up to Marely Neck Branch 1510 Aspen St. Pulaski Highway, Reedbird Ave. 1205 Bank St. Data Analysis Map and analyze records in relation to race and income Overlay to demographic data Evaluate change in spatial patterns over time Review and analyze decisional record Map and analyze records in relation to Redlining Data Redlining Data Home Owners Loan Association Security Grade by Neighborhood High, Still Desirable, Declining, Hazardous Criteria Occupations of Residents Average annual income Nationality Percentage of “negro” families Threat of Infiltration “negro, foreign born, lower-grade populations” Encroachment of Industrial Zone Baltimore Reports Race and Industrial Character Redlining Data Implications Regulatory Salience Critique Approval of Conditional Use Nature of proposed site Nature of surrounding area Extent to which proposed use might impair present and future development Proximity of dwellings, churches, schools Does Redlining Import Race as a Decisional Factor? Next Steps: Evaluate the Market Critique Longitudinal analysis Variances and Demographics By Decade Demographics inside impact zones and as compared to control areas or city as a whole Demographics in zones around approved versus disapproved variances Connections to decisional record Redlining Analysis Correlations between redlining zones and variances Review of decisional records