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Mapping county-level vulnerability to the energy transition in US fossil fuel communities
The energy transition toward lower-carbon energy sources will inevitably result in socioeconomic impacts on certain communities, particularly those that have historically produced fossil fuel resources and electricity generation using fossil fuels. Such communities stand to lose jobs, tax revenues,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492708/ https://www.ncbi.nlm.nih.gov/pubmed/36130967 http://dx.doi.org/10.1038/s41598-022-19927-6 |
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author | Raimi, Daniel Carley, Sanya Konisky, David |
author_facet | Raimi, Daniel Carley, Sanya Konisky, David |
author_sort | Raimi, Daniel |
collection | PubMed |
description | The energy transition toward lower-carbon energy sources will inevitably result in socioeconomic impacts on certain communities, particularly those that have historically produced fossil fuel resources and electricity generation using fossil fuels. Such communities stand to lose jobs, tax revenues, and support for public services. Which communities are most likely to be affected, which are more susceptible to being harmed, and how to target adaptive capacity programs—such as economic development and workforce training—accordingly are pressing scholarly and policy questions. In this study, we apply a vulnerability framework to calculate, rank, and map exposure and sensitivity scores for fossil fuel producing regions in the US. We find that, while counties in most regions of the United States will be affected by the transition away from fossil fuels, counties in Appalachia, Texas and the Gulf Coast region, and the Intermountain West are likely to experience the most significant impacts, and some regions experience overlapping and significant incidence of vulnerability. These results can be used to target future adaptive capacity programs. |
format | Online Article Text |
id | pubmed-9492708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94927082022-09-23 Mapping county-level vulnerability to the energy transition in US fossil fuel communities Raimi, Daniel Carley, Sanya Konisky, David Sci Rep Article The energy transition toward lower-carbon energy sources will inevitably result in socioeconomic impacts on certain communities, particularly those that have historically produced fossil fuel resources and electricity generation using fossil fuels. Such communities stand to lose jobs, tax revenues, and support for public services. Which communities are most likely to be affected, which are more susceptible to being harmed, and how to target adaptive capacity programs—such as economic development and workforce training—accordingly are pressing scholarly and policy questions. In this study, we apply a vulnerability framework to calculate, rank, and map exposure and sensitivity scores for fossil fuel producing regions in the US. We find that, while counties in most regions of the United States will be affected by the transition away from fossil fuels, counties in Appalachia, Texas and the Gulf Coast region, and the Intermountain West are likely to experience the most significant impacts, and some regions experience overlapping and significant incidence of vulnerability. These results can be used to target future adaptive capacity programs. Nature Publishing Group UK 2022-09-21 /pmc/articles/PMC9492708/ /pubmed/36130967 http://dx.doi.org/10.1038/s41598-022-19927-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raimi, Daniel Carley, Sanya Konisky, David Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title | Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title_full | Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title_fullStr | Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title_full_unstemmed | Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title_short | Mapping county-level vulnerability to the energy transition in US fossil fuel communities |
title_sort | mapping county-level vulnerability to the energy transition in us fossil fuel communities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492708/ https://www.ncbi.nlm.nih.gov/pubmed/36130967 http://dx.doi.org/10.1038/s41598-022-19927-6 |
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