4.5 Article

Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance

Journal

ENVIRONMENTAL MANAGEMENT
Volume 70, Issue 6, Pages 1038-1050

Publisher

SPRINGER
DOI: 10.1007/s00267-022-01706-8

Keywords

Socioecological systems; Bird diversity; Pollution; Tree cover; AIC model selection; Quality of life

Funding

  1. EPA STAR early career award [83694601]
  2. Technion by a Zuckerman Fellowship

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Research has revealed a growing trend in integrating social and ecological data to enhance quality of life, particularly in understanding people's beliefs about environmental governance. This study investigates the relationship between spatial patterns of beliefs about environmental governance and environmental health using both public health and ecological perspectives. Results show variations at local scales within the Puget Sound region. Factors such as canopy cover, environmental effects and exposures, years of residency, race, and sex were found to significantly influence beliefs about environmental governance. However, there was little support for the effects of political ideology, income, age, education, or bird diversity. Overall, this research highlights the importance of considering both environmental health and beliefs about governance in order to gain a comprehensive understanding of drivers of successful environmental governance and public support.
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.

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