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Background: The growth of concentrated animal feeding operations (CAFOs) has caused significant environmental detriments and raised concerns regarding environmental justice with CAFOs exposure.
Objective: This study examined environmental disparities in exposure to CAFOs with several environmental justice related variables and considered exposure intensity.
Methods: We obtained data on permitted CAFOs (July 2021) from the Wisconsin Department of Natural Resources. We used Census tract level variables from the 2010 Census to evaluate environmental disparities by environmental justice related variables (i.e., percentages of Non-Hispanic White, Non-Hispanic Black, or Hispanic; percentage living below the poverty level; median annual household income; income inequality (Gini index); percentage with education less than high school diploma; racial isolation (RI) for Non-Hispanic Black; and educational isolation (EI) for population without a college degree). We assessed exposure to CAFOs as the sum of animal units (AUs) within each Census tract and investigated exposure disparities by comparing distributions of environmental justice related variables based on CAFO status (i.e., never, expired, or current) and Census tract-level CAFOs exposure intensity categories (i.e., from low exposure (quartile 1) to high exposure (quartile 4)).
Results: CAFOs in Wisconsin were generally located in areas with lower percentages of racial minority persons and high SES communities; however, within the areas with current CAFO exposure, areas with high CAFOs exposure intensity had higher percentages of non-Hispanic Black and Hispanic, and lower percentages of non-Hispanic White populations compared to areas with low CAFOs exposure.
Impact Statement: This study compared distributions of CAFO exposure and multiple environmental justice related variables and considered exposure intensity based on animal units for CAFOs exposure metric. Although CAFOs in Wisconsin were generally located in areas with lower percentages of racial/ethnic minority subpopulations and high SES communities, we found complex disparities with higher exposure for disadvantaged communities within areas with CAFOs. This work adds to the existing evidence that some populations such as racial/ethnic minority populations may face disproportionate burdens from CAFOs.
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http://dx.doi.org/10.1038/s41370-023-00598-y | DOI Listing |
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Faculty of Education, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
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School of Life Sciences, University of Nottingham, Nottingham, England, United Kingdom.
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View Article and Find Full Text PDFGlob Bioeth
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EXUS AI Labs, Athens, Greece.
The ethical complexities of technological advancement are growing as fields such as climate adaptation, microbiology, healthcare, robotics, and artificial intelligence (AI) evolve rapidly. While these technologies offer innovative solutions to global challenges, they raise significant ethical concerns. In climate adaptation, AI-driven models and remote sensing technologies prompt questions about data privacy, environmental justice, and equitable access, especially for vulnerable populations.
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