Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance

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Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance. / Fleming, Whitney; Hallman, Tyler; van den Hoek, Jamon et al.
Yn: Environmental Management, Cyfrol 70, 12.2022, t. 1038-1050.

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Fleming W, Hallman T, van den Hoek J, Johnson SM, Biedenweg K. Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance. Environmental Management. 2022 Rhag;70:1038-1050. Epub 2022 Medi 22. doi: 10.1007/s00267-022-01706-8

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Fleming, Whitney ; Hallman, Tyler ; van den Hoek, Jamon et al. / Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance. Yn: Environmental Management. 2022 ; Cyfrol 70. tt. 1038-1050.

RIS

TY - JOUR

T1 - Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance

AU - Fleming, Whitney

AU - Hallman, Tyler

AU - van den Hoek, Jamon

AU - Johnson, S.M.

AU - Biedenweg, Kelly

PY - 2022/12

Y1 - 2022/12

N2 - Research has shown an increasing trend in attempts to integrate social and ecological data that use indicators to improve quality of life. This includes understanding people's beliefs about environmental governance. Understanding patterns in beliefs of environmental governance can be a powerful way to help policy makers take informed actions that meet individuals' needs and expectations. This study examines connections between spatial patterns of beliefs about environmental governance and the health of the environment where people live, measured from both a public health and ecological perspective. Data on people's beliefs about environmental governance were collected in the Puget Sound area of Washington state. Environmental health data include environmental public health disparities including effects and exposures, bird diversity, and tree cover. Results indicate local scale heterogeneity exists within the Puget Sound region. Using AIC model selection, there was strong evidence for effects of canopy cover, environmental effects and exposures, and years of residency, and moderate to strong evidence for the effects on beliefs about environmental governance of race and sex. There was little support for effects of political ideology, income, age, education, or bird diversity. The Akaike Information Criteria (AIC) top model included a negative effect of canopy cover, years of residency, race (i.e., of being non-white), and sex (i.e., of being male), and a positive effect of environmental effects and of environmental exposures. Relating data on environmental health and beliefs about environmental governance generates a more nuanced understanding of determinants of environmental governance success and public support.

AB - Research has shown an increasing trend in attempts to integrate social and ecological data that use indicators to improve quality of life. This includes understanding people's beliefs about environmental governance. Understanding patterns in beliefs of environmental governance can be a powerful way to help policy makers take informed actions that meet individuals' needs and expectations. This study examines connections between spatial patterns of beliefs about environmental governance and the health of the environment where people live, measured from both a public health and ecological perspective. Data on people's beliefs about environmental governance were collected in the Puget Sound area of Washington state. Environmental health data include environmental public health disparities including effects and exposures, bird diversity, and tree cover. Results indicate local scale heterogeneity exists within the Puget Sound region. Using AIC model selection, there was strong evidence for effects of canopy cover, environmental effects and exposures, and years of residency, and moderate to strong evidence for the effects on beliefs about environmental governance of race and sex. There was little support for effects of political ideology, income, age, education, or bird diversity. The Akaike Information Criteria (AIC) top model included a negative effect of canopy cover, years of residency, race (i.e., of being non-white), and sex (i.e., of being male), and a positive effect of environmental effects and of environmental exposures. Relating data on environmental health and beliefs about environmental governance generates a more nuanced understanding of determinants of environmental governance success and public support.

U2 - 10.1007/s00267-022-01706-8

DO - 10.1007/s00267-022-01706-8

M3 - Article

VL - 70

SP - 1038

EP - 1050

JO - Environmental Management

JF - Environmental Management

SN - 0364-152X

ER -