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Valuing water quality in the United States using a national dataset on property values
High-quality water resources provide a wide range of benefits, but the value of water quality is often not fully represented in environmental policy decisions, due in large part to an absence of water quality valuation estimates at large, policy relevant scales. Using data on property values with na...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104588/ https://www.ncbi.nlm.nih.gov/pubmed/37011190 http://dx.doi.org/10.1073/pnas.2210417120 |
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author | Mamun, Saleh Castillo-Castillo, Adriana Swedberg, Kristen Zhang, Jiarui Boyle, Kevin J. Cardoso, Diego Kling, Catherine L. Nolte, Christoph Papenfus, Michael Phaneuf, Daniel Polasky, Stephen |
author_facet | Mamun, Saleh Castillo-Castillo, Adriana Swedberg, Kristen Zhang, Jiarui Boyle, Kevin J. Cardoso, Diego Kling, Catherine L. Nolte, Christoph Papenfus, Michael Phaneuf, Daniel Polasky, Stephen |
author_sort | Mamun, Saleh |
collection | PubMed |
description | High-quality water resources provide a wide range of benefits, but the value of water quality is often not fully represented in environmental policy decisions, due in large part to an absence of water quality valuation estimates at large, policy relevant scales. Using data on property values with nationwide coverage across the contiguous United States, we estimate the benefits of lake water quality as measured through capitalization in housing markets. We find compelling evidence that homeowners place a premium on improved water quality. This premium is largest for lakefront property and decays with distance from the waterbody. In aggregate, we estimate that 10% improvement of water quality for the contiguous United States has a value of $6 to 9 billion to property owners. This study provides credible evidence for policymakers to incorporate lake water quality value estimates in environmental decision-making. |
format | Online Article Text |
id | pubmed-10104588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101045882023-10-03 Valuing water quality in the United States using a national dataset on property values Mamun, Saleh Castillo-Castillo, Adriana Swedberg, Kristen Zhang, Jiarui Boyle, Kevin J. Cardoso, Diego Kling, Catherine L. Nolte, Christoph Papenfus, Michael Phaneuf, Daniel Polasky, Stephen Proc Natl Acad Sci U S A Social Sciences High-quality water resources provide a wide range of benefits, but the value of water quality is often not fully represented in environmental policy decisions, due in large part to an absence of water quality valuation estimates at large, policy relevant scales. Using data on property values with nationwide coverage across the contiguous United States, we estimate the benefits of lake water quality as measured through capitalization in housing markets. We find compelling evidence that homeowners place a premium on improved water quality. This premium is largest for lakefront property and decays with distance from the waterbody. In aggregate, we estimate that 10% improvement of water quality for the contiguous United States has a value of $6 to 9 billion to property owners. This study provides credible evidence for policymakers to incorporate lake water quality value estimates in environmental decision-making. National Academy of Sciences 2023-04-03 2023-04-11 /pmc/articles/PMC10104588/ /pubmed/37011190 http://dx.doi.org/10.1073/pnas.2210417120 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 Mamun, Saleh Castillo-Castillo, Adriana Swedberg, Kristen Zhang, Jiarui Boyle, Kevin J. Cardoso, Diego Kling, Catherine L. Nolte, Christoph Papenfus, Michael Phaneuf, Daniel Polasky, Stephen Valuing water quality in the United States using a national dataset on property values |
title | Valuing water quality in the United States using a national dataset on property values |
title_full | Valuing water quality in the United States using a national dataset on property values |
title_fullStr | Valuing water quality in the United States using a national dataset on property values |
title_full_unstemmed | Valuing water quality in the United States using a national dataset on property values |
title_short | Valuing water quality in the United States using a national dataset on property values |
title_sort | valuing water quality in the united states using a national dataset on property values |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104588/ https://www.ncbi.nlm.nih.gov/pubmed/37011190 http://dx.doi.org/10.1073/pnas.2210417120 |
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