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Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality

Given the current environmental crisis there have been multiple calls for a green recovery from COVID-19 which address environmental concerns and provide jobs in industries and communities economically damaged by the pandemic. Here, we holistically evaluate a range of recovery scenarios, evaluated o...

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Autores principales: Sokolnicki, James R., Woodhatch, Annabel L., Stafford, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483515/
http://dx.doi.org/10.1007/s44177-022-00037-x
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author Sokolnicki, James R.
Woodhatch, Annabel L.
Stafford, Richard
author_facet Sokolnicki, James R.
Woodhatch, Annabel L.
Stafford, Richard
author_sort Sokolnicki, James R.
collection PubMed
description Given the current environmental crisis there have been multiple calls for a green recovery from COVID-19 which address environmental concerns and provide jobs in industries and communities economically damaged by the pandemic. Here, we holistically evaluate a range of recovery scenarios, evaluated on environmental and socio-economic equity metrics. Using a modified version of a Bayesian belief network, we show that economic stimuli across green sectors, including jobs in renewable energy, waste management, retrofitting of buildings, heat-pump installation and public transport can help economic growth, but will have limited environmental benefits. The inclusion of carbon taxes and ending fossil fuel subsidies, alongside investment in nature-based solutions and jobs in ecological conservation, can greatly increase the environmental gains as well as socio-economic equality. Additionally, jobs not associated with green industries, but with low carbon footprints, such as those in social care can further improve social equality with minimal negative environmental effects. However, in these latter scenarios involving taxation and ending fossil fuel subsidies, economic growth is reduced. We suggest a comprehensive green recovery and green new deal are needed, and we should reimagine economies, without the focus on economic growth. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44177-022-00037-x.
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spelling pubmed-94835152022-09-19 Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality Sokolnicki, James R. Woodhatch, Annabel L. Stafford, Richard Anthr. Sci. Original Article Given the current environmental crisis there have been multiple calls for a green recovery from COVID-19 which address environmental concerns and provide jobs in industries and communities economically damaged by the pandemic. Here, we holistically evaluate a range of recovery scenarios, evaluated on environmental and socio-economic equity metrics. Using a modified version of a Bayesian belief network, we show that economic stimuli across green sectors, including jobs in renewable energy, waste management, retrofitting of buildings, heat-pump installation and public transport can help economic growth, but will have limited environmental benefits. The inclusion of carbon taxes and ending fossil fuel subsidies, alongside investment in nature-based solutions and jobs in ecological conservation, can greatly increase the environmental gains as well as socio-economic equality. Additionally, jobs not associated with green industries, but with low carbon footprints, such as those in social care can further improve social equality with minimal negative environmental effects. However, in these latter scenarios involving taxation and ending fossil fuel subsidies, economic growth is reduced. We suggest a comprehensive green recovery and green new deal are needed, and we should reimagine economies, without the focus on economic growth. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44177-022-00037-x. Springer Nature Singapore 2022-09-16 2022 /pmc/articles/PMC9483515/ http://dx.doi.org/10.1007/s44177-022-00037-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Sokolnicki, James R.
Woodhatch, Annabel L.
Stafford, Richard
Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title_full Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title_fullStr Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title_full_unstemmed Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title_short Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
title_sort assessing environmentally effective post-covid green recovery plans for reducing social and economic inequality
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483515/
http://dx.doi.org/10.1007/s44177-022-00037-x
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