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Census Demographics and Chlorpyrifos Use in California’s Central Valley, 2011–15: A Distributional Environmental Justice Analysis

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  • Daniel J. Hicks

    (Data Science Initiative, University of California, Davis, CA 95616, USA
    Current address: University of California, Merced, CA 95343, USA.)

Abstract

Chlorpyrifos, an acetylcholinesterase inhibitor (ACI), is one of the most widely used insecticides in the world, and is generally recognized to be a moderate human neurotoxin. This paper reports a distributional environmental justice (dEJ) analysis of chlorpyrifos use in California’s Central Valley, examining the way distributions of environmental risks are associated with race, ethnicity, class, gender, and other systems of structural oppression. Spatial data on chlorpyrifos use were retrieved from California’s Department of Pesticide Registration public pesticide use records for 2011–2015. These data were combined with demographic data for the Central Valley from the American Community Survey (ACS). Spatial regression models were used to estimate effects of demographic covariates on local chlorpyrifos use. A novel bootstrap method was used to account for measurement error in the ACS estimates. This study finds consistent evidence that Hispanic population proportion is associated with increased local chlorpyrifos use. A 10-point increase in Hispanic proportion is associated with an estimated 1.05–1.4-fold increase in local chlorpyrifos use across Census tract models. By contrast, effects of agricultural employment and poverty on local chlorpyrifos use are ambiguous and inconsistent between Census tracts and Census-designated places.

Suggested Citation

  • Daniel J. Hicks, 2020. "Census Demographics and Chlorpyrifos Use in California’s Central Valley, 2011–15: A Distributional Environmental Justice Analysis," IJERPH, MDPI, vol. 17(7), pages 1-20, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2593-:d:343820
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    References listed on IDEAS

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    1. Yoo Min Park & Mei-Po Kwan, 2017. "Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches," IJERPH, MDPI, vol. 14(10), pages 1-19, October.
    2. Lovasi, G.S. & Quinn, J.W. & Rauh, V.A. & Perera, F.P. & Andrews, H.F. & Garfinkel, R. & Hoepner, L. & Whyatt, R. & Rundle, A., 2011. "Chlorpyrifos exposure and urban residential environment characteristics as determinants of early childhood neurodevelopment," American Journal of Public Health, American Public Health Association, vol. 101(1), pages 63-70.
    3. Anselin, Luc, 1990. "Some robust approaches to testing and estimation in spatial econometrics," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 141-163, September.
    4. Seth E Spielman & David C Folch, 2015. "Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-21, February.
    5. Chris Frost & Simon G. Thompson, 2000. "Correcting for regression dilution bias: comparison of methods for a single predictor variable," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(2), pages 173-189.
    6. Jing Ma & Bochu Liu & Gordon Mitchell & Guanpeng Dong, 2019. "A spatial analysis of air pollution and environmental inequality in Beijing, 2000–2010," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(14), pages 2437-2458, December.
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