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The distribution of pollution and environmental justice in Puerto Rico: a quantitative analysis

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Abstract

This research quantifies the distribution of toxic releases in Puerto Rico to determine whether environmental inequality exists. We calculate an environmental Gini coefficient using Toxics Release Inventory (TRI) data from 2000 to 2008. Our findings suggest Puerto Rico has a relatively constant and unequal distribution of releases over this time period. Based on this result, we investigate linkages between toxic releases and several socioeconomic and demographic indicators. We apply a quantile regression model using TRI data and American Community Survey data from 2005 to 2008 to identify important indicators across the distribution of releases. We find municipios (legal division equivalent to US counties) that have a higher percent of non-Puerto Rican Hispanic origin or high school educated population experience higher releases to all media. This also is true for unemployment, but only for municipios with the largest releases (i.e., highest quintile). The results also reveal municipios that are more densely populated or that have a higher percent of college degrees experience lower releases to all media. Higher proportions of certain age groups also suggest lower releases. These results are not constant across the distribution of releases; they are most significant in those municipios with the largest releases. This is even more obvious when we only examine releases to air.

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Notes

  1. Accessed at: http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_10_SF1_GCTPH1.ST05&prodType=table on January 3, 2013. The US Census defines a municipio as the primary legal division of Puerto Rico. The census treats municipios as equivalent to US counties for data purposes (Accessed at: http://www.census.gov/geo/www/tiger/glossary.html on January 3, 2013). Our dataset excluded municipios without TRI data. In those municipios, no facilities reported releases.

  2. By contrast, the National-Scale Air Toxics Assessment (NATA) is a comprehensive study of health risks from inhaling air pollutants (Accessed at: http://www.epa.gov/nata/ on February 25, 2013). It is a national inventory of stationary and mobile sources, but it is updated only every 3 years (1996, 1999, 2002, 2005). Although NATA covers Puerto Rico, changes in the methodology across the four assessments make it difficult to compare results. This suggests we could not use NATA for the types of analyses presented here.

  3. Accessed at: http://www.epa.gov/tri/trichemicals on January 3, 2013.

  4. Dropping observations for a balanced panel leaves 15 municipios for 4 years. According to Hughes (2011), Pfaffermayr’s routine in STATA performs satisfactorily for datasets with about 400 observations.

  5. Results for per capita releases to air available upon request.

  6. Based on TRI 2008, Puerto Rico municipios with the largest releases are Guayanilla, Salinas, Guayama, Las Piedras, Penuelas, Barceloneta, Yabucoa, Toa Baja, Yauco, and San Juan.

  7. Data source: ACS (American Community Survey) data. Race categories are defined in the ACS.

  8. Regression results are available upon request.

References

  • Arora, S., & Cason, T. N. (1998). Do community characteristics influence environmental outcomes? Evidence from the toxic release inventory. Journal of Applied Economics, I(2), 413–453.

    Google Scholar 

  • Asch, P., & Seneca, J. J. (1978). Some evidence on the distribution of air quality. Land Economics, 54, 279–297.

    Article  Google Scholar 

  • Baver, S. L. (2006). Environmental justice and the cleanup of Vieques. CENTRO Journal, 18(1), 3–19.

    Google Scholar 

  • Belsey, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics. New York: Wiley.

    Book  Google Scholar 

  • Berman Santana, D. (2005). Vieques: The land, the people, the struggle, the future. In R. Bullard (Ed.), The quest for environmental justice. California: University of California Press.

    Google Scholar 

  • Brajer, V., & Hall, J. V. (1992). Recent evidence on the distribution of air pollution effects. Contemporary Policy Issues, 10, 63–71.

    Article  Google Scholar 

  • Brooks, N., & Sethi, R. (1997). The distribution of pollution: Community characteristics and exposure to air toxics. Journal of Environmental Economics and Management, 32, 233–250.

    Article  Google Scholar 

  • Carruthers, D. (2008). Environmental justice in Latin America: Problems, promise, and practice. Cambridge, MA: Massachusetts Institute of Technology.

    Book  Google Scholar 

  • Center for Sustainable Development Studies. (2009). Sustainability of land use in Puerto Rico. School of Environmental Affairs, Universidad Metropolitana. Funded under U.S. EPA STAR Grant #SD98228700. Accessed at: http://www.suagm.edu/umet/cedes/pdf/pdf/final_report_march_2009.pdf on 19 Dec 2012.

  • Chakraborty, J. (2011). Revisiting Tobler’s first law of geography: Spatial regression models for assessing environmental justice and health risk disparities. In J. Maantay & S. McLafferty (Eds.), Geospatial analysis of environmental health. Netherlands: Springer.

    Google Scholar 

  • Chakraborty, J., Maantay J. A., & Brender J. D. (2011). Disproportionate proximity to environmental health hazards: Methods, models, and measurement. American Journal of Public Health, 101(Suppl 1), S27–S36.

    Google Scholar 

  • Cheng, Y., & Li, S. (2006). Income inequality and efficiency: A decomposition approach and application to China. Economics Letters, 91(1), 8–14.

    Article  Google Scholar 

  • Cole, M. A., Elliott, R. J., & Wu, S. (2008). Industrial activity and the environment in China: An industry-level analysis. China Economic Review, 19(3), 393–408.

    Article  Google Scholar 

  • Concepcion, C. M. (1993). Environment and industrialization in Puerto Rico: Disenfranchising the people. Journal of Environmental Planning and Management, 36(3), 269–282.

    Article  Google Scholar 

  • Deily, M. E., & Gray, W. B. (1991). Enforcement of pollution regulations in a declining industry. Journal of Environmental Economics and Management, 21, 260–274.

    Article  Google Scholar 

  • Dietrich, A. (2011). Coercive harmony, deep capture, and environmental justice in Puerto Rico. Development and Change, 42(6), 1441–1463.

    Article  Google Scholar 

  • Fann, N., Roman, H., Fulcher, C., Gentile, M., Hubbell, B., Wesson, K., et al. (2011). Maximizing health benefits and minimizing inequality: Incorporating local-scale data in the design and evaluation of air quality policies. Risk Analysis, 31, 908–922.

    Article  Google Scholar 

  • Freeman, A. M. (1972). Distribution of environmental quality. Environmental quality analysis. Baltimore: Johns Hopkins Press.

    Google Scholar 

  • Gordon, L., Payne-Sturges, D., & Gee, G. (2010). Environmental health disparities: Select case studies related to Asian and Pacific Islander Americans. Environmental Justice, 3(1), 21–26.

    Article  Google Scholar 

  • Greene, W. H. (2002). Econometric analysis (5th ed.). New Jersey: Prentice Hall.

    Google Scholar 

  • Grineski, S. E., & Collins, T. W. (2008). Exploring patterns of environmental injustice in the global south: Maquiladoras in Ciudad Juarez, Mexico. Population and Environment, 29, 247–270.

    Article  Google Scholar 

  • Grineski, S. E., Collins, T. W., & Chakraborty, J. (2012). Hispanic heterogeneity and environmental injustice: Intra-ethnic patterns of exposure to caner risks from traffic-related air pollution in Miami. Population and Environment,. doi:10.1007/s11111-012-0184-2.

    Google Scholar 

  • Halstead, J. M., Lindsay, B. E., & Brown, C. M. (1991). Use of Tobit model in contingent valuation: Experimental evidence from the Pemigewasset Wilderness area. Journal of Environmental Management, 33, 79–89.

    Article  Google Scholar 

  • Hughes, G. (2011). Implementing procedures for spatial panel econometrics in STATA. STATA User Group Meeting, London, UK. 15 Sept 2011.

  • Jacobson, A., Milman, A. D., & Kammen, D. M. (2005). Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity. Energy Policy, 33(14), 1825.

    Article  Google Scholar 

  • Kim, T., & Muller, C. (2004). Two-Stage quantile regression when the first stage is based on quantile regression. Econometrics Journal, 7(1), 218–231.

    Article  Google Scholar 

  • Koenker, R., & Bassett, G. W. (1978). Regression quantiles. Econometrica, 46, 33–50.

    Article  Google Scholar 

  • Koenker, R., & Hallock, K. (2001). Quantile regression: An introduction. Journal of Economic Perspectives, 15, 143–156.

    Article  Google Scholar 

  • Kriesel, W., Centner, T., & Keeler, A. (1996). Neighborhood exposure to toxic releases: Are there racial inequalities? Growth and Change, 27, 479–499.

    Article  Google Scholar 

  • Kruvant, W. J. (1975). People, energy and pollution. Ballinger, Cambridge, MA: The American Energy Consumer.

    Google Scholar 

  • Lambert, P. J., & Aranson, J. R. (1993). Inequality decomposition analysis and the Gini coefficient revisited. Economic Journal, 103, 1221–1227.

    Article  Google Scholar 

  • Lerman, R., & Yitzhaki, S. (1984). A note on the calculation and interpretation of the Gini index. Economic Letters, 15, 363–368.

    Article  Google Scholar 

  • Lerman, R., & Yitzhaki, S. (1985). Income inequality effects by income source: A new approach and Applications to the United States. Review of Economics and Statistics, 67, 151–156.

    Article  Google Scholar 

  • Maguire, K., & Sheriff, G. (2011). Comparing distributions of environmental outcomes for regulatory environmental justice analysis. International Journal of Environmental Research and Public Health, 2011–8, 1707–1726.

    Article  Google Scholar 

  • Martinuzzi, S., Gould, W. A., Lugo, A. E., & Medina, E. (2009). Conversion and recovery of Puerto Rican Mangroves: 200 Years of change. Forest Ecology and Management, 257, 75–84.

    Article  Google Scholar 

  • McCaffrey, K. (2008). The struggle for environmental justice in Vieques, Puerto Rico. In D. Carruthers (Ed.), Environmental justice in Latin America: Problems, promise, and practice. Cambridge, MA: Massachusetts Institute of Technology.

    Google Scholar 

  • McCaffrey, K., & Baver, S. (2006). Ni una bomba mas: Reframing the Vieques struggle. In S. Baver & B. Lynch (Eds.), Beyond Sun and sand. New Brunswick, NJ: Rutgers University Press.

    Google Scholar 

  • McDonald, Y. J., & Grineski, S. E. (2012). Disparities in access to residential plumbing: A binational comparison of environmental injustice in EL Paso and Ciudad Juarez. Population and Environment, 34, 194–216.

    Article  Google Scholar 

  • Mennis, J. (2002). Using geographic information systems to create and analyze statistical surfaces of population and risk for environmental justice analysis. Social Science Quarterly, 83(1), 281–297.

    Article  Google Scholar 

  • Millimet, D. L., & Slottje D. (2000). The distribution of pollution in the US: An environmental Gini approach. Southern Methodist University, Department of Economics Working Papers No. 002.

  • Millimet, D. L., & Slottje, D. (2002). An environmental Paglin-Gini. Applied economics Letters, 9(4), 271–274.

    Article  Google Scholar 

  • Miranda, M. L., & Hale, B. (2005). Paradise recovered: Energy production and waste management in island environments. Energy Policy, 33, 1691–1702.

    Article  Google Scholar 

  • Mitchell, G., & Dorling, D. (2003). An environmental justice analysis of British air quality. Environment and Planning A, 35, 909–929.

    Article  Google Scholar 

  • Mohai, P., Pellow, D., & Roberts, J. T. (2009). Environmental justice. The Annual Review of Environment and Resources, 34, 405–430.

    Article  Google Scholar 

  • Mohai, P., & Saha, R. (2006). Reassessing racial and socioeconomic disparities in environmental justice research. Demography, 43, 383–399.

    Article  Google Scholar 

  • Pares-Ramos, I. K., Gould, W. A., & Aide, T. M. (2008). Agricultural abandonment, suburban growth, and forest expansion in Puerto Rico between 1991 and 2000. Ecology and Society, 13(2), 1.

    Google Scholar 

  • Pastor, M., Morello-Frosch, R., & Sadd, J. L. (2005). The air is always cleaner on the other side: Race, space, and ambient air toxics exposures in California. Journal of Urban Affairs, 27(2), 127–148.

    Article  Google Scholar 

  • Pearce, J., Kingham, S., & Peyman, Z. (2006). Every breath you take? Environmental justice and air pollution in Christchurch, New Zealand. Environment and Planning A, 38, 919–938.

    Article  Google Scholar 

  • Pfaffermayr, M. (2009). Maximum likelihood estimation of a general unbalanced spatial random effects model: A Monte Carlo study. Spatial Economic Analysis, 4, 467–483.

    Article  Google Scholar 

  • Rivera-Batiz, F. (2005). Color in the tropics: Race and economic outcomes in the island of Puerto Rico. Unpublished paper. New York: Teachers College, Columbia University.

  • Saboohi, Y. (2001). An evaluation of the impact of reducing energy subsidies on living expenses of households. Energy Policy, 29(3), 245.

    Article  Google Scholar 

  • Sun, T., Zhang, H., Wang, Y., Meng, X., & Wang, C. (2010). The application of environmental Gini coefficient (EGC) in allocating wastewater discharge permit: The case study of watershed total mass control in Tianjin, China. Resources, Conservation and Recycling, 54, 601–608.

    Article  Google Scholar 

  • US CENSUS BUREAU. (2003). Puerto Rico Census 2000 Responses to the Race and Ethnicity Questions, Final Report.

  • USEPA. (2011a). Plan EJ 2014. Office of environmental justice. Washington, DC: Environmental Protection Agency, US. 20460.

  • USEPA. (2011b). Plan EJ 2014: Science tools development, implementation plan. Office of research and development. Washington, DC: US Environmental Protection Agency. 20460.

  • Zupan, J. M. (1973). The distribution of air quality in the New York region. Baltimore: Johns Hopkins Press.

    Google Scholar 

Download references

Acknowledgments

The views expressed herein are strictly the opinion of the authors and in no manner represent current or planned policy by US Environmental Protection Agency. The authors acknowledge four anonymous reviewers for their comments which have improved the paper. We also acknowledge Matthew Hopton for creating Figs. 1, 4. We also thank Randy Bruins, the Puerto Rico Sustainability Metrics research team, and collaborators for feedback on previous drafts. Shanshan Wu would like to acknowledge that part of this research was conducted under a postdoctoral research associateship provided by the National Academy of Sciences, National Research Council.

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Correspondence to Matthew T. Heberling.

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Wu, S., Heberling, M.T. The distribution of pollution and environmental justice in Puerto Rico: a quantitative analysis. Popul Environ 35, 113–132 (2013). https://doi.org/10.1007/s11111-013-0188-6

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