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Spatial dimensions of water quality value in New England river networks

Households’ willingness to pay (WTP) for water quality improvements—representing their economic value—depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there other areas where improvements might hold high value to indi...

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Autores principales: Johnston, Robert J., Moeltner, Klaus, Peery, Seth, Ndebele, Tom, Yao, Zhenyu, Crema, Stefano, Wollheim, Wilfred M., Besedin, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160974/
https://www.ncbi.nlm.nih.gov/pubmed/37094143
http://dx.doi.org/10.1073/pnas.2120255119
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author Johnston, Robert J.
Moeltner, Klaus
Peery, Seth
Ndebele, Tom
Yao, Zhenyu
Crema, Stefano
Wollheim, Wilfred M.
Besedin, Elena
author_facet Johnston, Robert J.
Moeltner, Klaus
Peery, Seth
Ndebele, Tom
Yao, Zhenyu
Crema, Stefano
Wollheim, Wilfred M.
Besedin, Elena
author_sort Johnston, Robert J.
collection PubMed
description Households’ willingness to pay (WTP) for water quality improvements—representing their economic value—depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there other areas where improvements might hold high value to individual households, do effects on WTP vary by type of improvement, and can these areas be identified even if they are not anticipated by researchers? To answer these questions, we integrated a water quality model and map-based, interactive choice experiment to estimate households’ WTP for water quality improvements throughout a river network covering six New England states. The choice experiment was implemented using a push-to-web survey over a sample of New England households. Voting scenarios used to elicit WTP included interactive geographic information system (GIS) maps that illustrated three water quality measures at various zoom levels across the study domain. We captured data on how respondents maneuvered through these maps prior to answering the value-eliciting questions. Results show that WTP was influenced by regionwide quality improvements and improvements surrounding each respondent’s home, as anticipated, but also by improvements in individualized locations identifiable via each respondent’s map interactions. These spatial WTP variations only appear for low-quality rivers and are focused around particular areas of New England. The study shows that dynamic map interactions can convey salient information for WTP estimation and that predicting spatial WTP heterogeneity based primarily on home or iconic locations, as typically done, may overlook areas where water quality has high value.
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spelling pubmed-101609742023-05-06 Spatial dimensions of water quality value in New England river networks Johnston, Robert J. Moeltner, Klaus Peery, Seth Ndebele, Tom Yao, Zhenyu Crema, Stefano Wollheim, Wilfred M. Besedin, Elena Proc Natl Acad Sci U S A Social Sciences Households’ willingness to pay (WTP) for water quality improvements—representing their economic value—depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there other areas where improvements might hold high value to individual households, do effects on WTP vary by type of improvement, and can these areas be identified even if they are not anticipated by researchers? To answer these questions, we integrated a water quality model and map-based, interactive choice experiment to estimate households’ WTP for water quality improvements throughout a river network covering six New England states. The choice experiment was implemented using a push-to-web survey over a sample of New England households. Voting scenarios used to elicit WTP included interactive geographic information system (GIS) maps that illustrated three water quality measures at various zoom levels across the study domain. We captured data on how respondents maneuvered through these maps prior to answering the value-eliciting questions. Results show that WTP was influenced by regionwide quality improvements and improvements surrounding each respondent’s home, as anticipated, but also by improvements in individualized locations identifiable via each respondent’s map interactions. These spatial WTP variations only appear for low-quality rivers and are focused around particular areas of New England. The study shows that dynamic map interactions can convey salient information for WTP estimation and that predicting spatial WTP heterogeneity based primarily on home or iconic locations, as typically done, may overlook areas where water quality has high value. National Academy of Sciences 2023-04-24 2023-05-02 /pmc/articles/PMC10160974/ /pubmed/37094143 http://dx.doi.org/10.1073/pnas.2120255119 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Johnston, Robert J.
Moeltner, Klaus
Peery, Seth
Ndebele, Tom
Yao, Zhenyu
Crema, Stefano
Wollheim, Wilfred M.
Besedin, Elena
Spatial dimensions of water quality value in New England river networks
title Spatial dimensions of water quality value in New England river networks
title_full Spatial dimensions of water quality value in New England river networks
title_fullStr Spatial dimensions of water quality value in New England river networks
title_full_unstemmed Spatial dimensions of water quality value in New England river networks
title_short Spatial dimensions of water quality value in New England river networks
title_sort spatial dimensions of water quality value in new england river networks
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160974/
https://www.ncbi.nlm.nih.gov/pubmed/37094143
http://dx.doi.org/10.1073/pnas.2120255119
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