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Environmental Quality, Extreme Heat, and Healthcare Expenditures

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  • Douglas A. Becker

    (Conservation International, Arlington, VA 22202, USA)

Abstract

Although the effects of the environment on human health are well-established, the literature on the relationship between the quality of the environment and expenditures on healthcare is relatively sparse and disjointed. In this study, the Environmental Quality Index developed by the Environmental Protection Agency and heatwave days were compared against per capita Medicare spending at the county level. A general additive model with a Markov Random Field smoothing term was used for the analysis to ensure that spatial dependence did not undermine model results. The Environmental Quality Index was found to hold a statistically significant ( p < 0.05), multifaceted nonlinear association with spending, as was the average seasonal maximum heat index. The same was not true of heatwave days, however. In a secondary analysis on the individual domains of the index, the social and built environment components were significantly related to spending, but the air, water, and land domains were not. These results provide initial support for the simultaneous benefits of healthcare financing systems to mitigate some dimensions of poor environmental quality and consistently high air temperatures.

Suggested Citation

  • Douglas A. Becker, 2024. "Environmental Quality, Extreme Heat, and Healthcare Expenditures," IJERPH, MDPI, vol. 21(10), pages 1-11, October.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:10:p:1322-:d:1492813
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    References listed on IDEAS

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    1. Brender, J.D. & Maantay, J.A. & Chakraborty, J., 2011. "Residential proximity to environmental hazards and adverse health outcomes," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 37-52.
    2. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    3. Roger S. Bivand & David W. S. Wong, 2018. "Comparing implementations of global and local indicators of spatial association," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 716-748, September.
    4. James Thornton & Jennifer Rice, 2008. "Determinants of healthcare spending: a state level analysis," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2873-2889.
    5. Kyriaki Remoundou & Phoebe Koundouri, 2009. "Environmental Effects on Public Health: An Economic Perspective," IJERPH, MDPI, vol. 6(8), pages 1-19, July.
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