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Environmental Justice: Evidence from Superfund cleanup durations

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  • Burda, Martin
  • Harding, Matthew

Abstract

This paper investigates the extent to which cleanup durations at Superfund sites reflect demographic biases incongruent with the principles of Environmental Justice. We argue that the duration of cleanup, conditional on a large number of site characteristics, should be independent of the race and income profile of the neighborhood in which the site is located. Since the demographic composition of a neighborhood changes during the cleanup process, we explore whether cleanup durations are related to neighborhood demographics recorded at the time when the cleanup is initiated. We estimate a semiparametric Bayesian Proportional Hazard model, which also allows for unobserved site specific heterogeneity, and find that sites located in black, urban and lower educated neighborhoods were discriminated against at the beginning of the program but that the degree of bias diminished over time. Executive Order 12898 of 1994 appears to have re-prioritized resources for the faster cleanup of sites located in less wealthy neighborhoods. We do not find that the litigation process is an impediment in the cleanup process, and support the notion that community involvement plays an important role.

Suggested Citation

  • Burda, Martin & Harding, Matthew, 2014. "Environmental Justice: Evidence from Superfund cleanup durations," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 380-401.
  • Handle: RePEc:eee:jeborg:v:107:y:2014:i:pa:p:380-401
    DOI: 10.1016/j.jebo.2014.04.028
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    2. Jacob LaRiviere & Matthew McMahon & Justin Roush, 2019. "Second-Best Prioritization of Environmental Cleanups," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 1225-1249, April.
    3. Roberto Pasetto & Benedetta Mattioli & Daniela Marsili, 2019. "Environmental Justice in Industrially Contaminated Sites. A Review of Scientific Evidence in the WHO European Region," IJERPH, MDPI, vol. 16(6), pages 1-20, March.
    4. Phattraporn Soytong & Ranjith Perera, 2017. "Spatial analysis of the environmental conflict between state, society and industry at the Map Ta Phut-Rayong conurbation in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 839-862, June.
    5. Shannon M. Cruz, 2019. "Themes Across New Directions in Community Engagement," IJERPH, MDPI, vol. 16(19), pages 1-13, October.

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    More about this item

    Keywords

    Environmental Justice; Superfund; Semiparametric Bayesian duration analysis;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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