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Impact of population growth and population ethics on climate change mitigation policy

Future population growth is uncertain and matters for climate policy: higher growth entails more emissions and means more people will be vulnerable to climate-related impacts. We show that how future population is valued importantly determines mitigation decisions. Using the Dynamic Integrated Clima...

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Autores principales: Scovronick, Noah, Budolfson, Mark B., Dennig, Francis, Fleurbaey, Marc, Siebert, Asher, Socolow, Robert H., Spears, Dean, Wagner, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699025/
https://www.ncbi.nlm.nih.gov/pubmed/29087298
http://dx.doi.org/10.1073/pnas.1618308114
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author Scovronick, Noah
Budolfson, Mark B.
Dennig, Francis
Fleurbaey, Marc
Siebert, Asher
Socolow, Robert H.
Spears, Dean
Wagner, Fabian
author_facet Scovronick, Noah
Budolfson, Mark B.
Dennig, Francis
Fleurbaey, Marc
Siebert, Asher
Socolow, Robert H.
Spears, Dean
Wagner, Fabian
author_sort Scovronick, Noah
collection PubMed
description Future population growth is uncertain and matters for climate policy: higher growth entails more emissions and means more people will be vulnerable to climate-related impacts. We show that how future population is valued importantly determines mitigation decisions. Using the Dynamic Integrated Climate-Economy model, we explore two approaches to valuing population: a discounted version of total utilitarianism (TU), which considers total wellbeing and is standard in social cost of carbon dioxide (SCC) models, and of average utilitarianism (AU), which ignores population size and sums only each time period’s discounted average wellbeing. Under both approaches, as population increases the SCC increases, but optimal peak temperature decreases. The effect is larger under TU, because it responds to the fact that a larger population means climate change hurts more people: for example, in 2025, assuming the United Nations (UN)-high rather than UN-low population scenario entails an increase in the SCC of 85% under TU vs. 5% under AU. The difference in the SCC between the two population scenarios under TU is comparable to commonly debated decisions regarding time discounting. Additionally, we estimate the avoided mitigation costs implied by plausible reductions in population growth, finding that large near-term savings ($billions annually) occur under TU; savings under AU emerge in the more distant future. These savings are larger than spending shortfalls for human development policies that may lower fertility. Finally, we show that whether lowering population growth entails overall improvements in wellbeing—rather than merely cost savings—again depends on the ethical approach to valuing population.
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spelling pubmed-56990252017-11-27 Impact of population growth and population ethics on climate change mitigation policy Scovronick, Noah Budolfson, Mark B. Dennig, Francis Fleurbaey, Marc Siebert, Asher Socolow, Robert H. Spears, Dean Wagner, Fabian Proc Natl Acad Sci U S A Biological Sciences Future population growth is uncertain and matters for climate policy: higher growth entails more emissions and means more people will be vulnerable to climate-related impacts. We show that how future population is valued importantly determines mitigation decisions. Using the Dynamic Integrated Climate-Economy model, we explore two approaches to valuing population: a discounted version of total utilitarianism (TU), which considers total wellbeing and is standard in social cost of carbon dioxide (SCC) models, and of average utilitarianism (AU), which ignores population size and sums only each time period’s discounted average wellbeing. Under both approaches, as population increases the SCC increases, but optimal peak temperature decreases. The effect is larger under TU, because it responds to the fact that a larger population means climate change hurts more people: for example, in 2025, assuming the United Nations (UN)-high rather than UN-low population scenario entails an increase in the SCC of 85% under TU vs. 5% under AU. The difference in the SCC between the two population scenarios under TU is comparable to commonly debated decisions regarding time discounting. Additionally, we estimate the avoided mitigation costs implied by plausible reductions in population growth, finding that large near-term savings ($billions annually) occur under TU; savings under AU emerge in the more distant future. These savings are larger than spending shortfalls for human development policies that may lower fertility. Finally, we show that whether lowering population growth entails overall improvements in wellbeing—rather than merely cost savings—again depends on the ethical approach to valuing population. National Academy of Sciences 2017-11-14 2017-10-30 /pmc/articles/PMC5699025/ /pubmed/29087298 http://dx.doi.org/10.1073/pnas.1618308114 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access 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 Biological Sciences
Scovronick, Noah
Budolfson, Mark B.
Dennig, Francis
Fleurbaey, Marc
Siebert, Asher
Socolow, Robert H.
Spears, Dean
Wagner, Fabian
Impact of population growth and population ethics on climate change mitigation policy
title Impact of population growth and population ethics on climate change mitigation policy
title_full Impact of population growth and population ethics on climate change mitigation policy
title_fullStr Impact of population growth and population ethics on climate change mitigation policy
title_full_unstemmed Impact of population growth and population ethics on climate change mitigation policy
title_short Impact of population growth and population ethics on climate change mitigation policy
title_sort impact of population growth and population ethics on climate change mitigation policy
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699025/
https://www.ncbi.nlm.nih.gov/pubmed/29087298
http://dx.doi.org/10.1073/pnas.1618308114
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