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Comprehensive evidence implies a higher social cost of CO(2)

The social cost of carbon dioxide (SC-CO(2)) measures the monetized value of the damages to society caused by an incremental metric tonne of CO(2) emissions and is a key metric informing climate policy. Used by governments and other decision-makers in benefit–cost analysis for over a decade, SC-CO(2...

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Autores principales: Rennert, Kevin, Errickson, Frank, Prest, Brian C., Rennels, Lisa, Newell, Richard G., Pizer, William, Kingdon, Cora, Wingenroth, Jordan, Cooke, Roger, Parthum, Bryan, Smith, David, Cromar, Kevin, Diaz, Delavane, Moore, Frances C., Müller, Ulrich K., Plevin, Richard J., Raftery, Adrian E., Ševčíková, Hana, Sheets, Hannah, Stock, James H., Tan, Tammy, Watson, Mark, Wong, Tony E., Anthoff, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605864/
https://www.ncbi.nlm.nih.gov/pubmed/36049503
http://dx.doi.org/10.1038/s41586-022-05224-9
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author Rennert, Kevin
Errickson, Frank
Prest, Brian C.
Rennels, Lisa
Newell, Richard G.
Pizer, William
Kingdon, Cora
Wingenroth, Jordan
Cooke, Roger
Parthum, Bryan
Smith, David
Cromar, Kevin
Diaz, Delavane
Moore, Frances C.
Müller, Ulrich K.
Plevin, Richard J.
Raftery, Adrian E.
Ševčíková, Hana
Sheets, Hannah
Stock, James H.
Tan, Tammy
Watson, Mark
Wong, Tony E.
Anthoff, David
author_facet Rennert, Kevin
Errickson, Frank
Prest, Brian C.
Rennels, Lisa
Newell, Richard G.
Pizer, William
Kingdon, Cora
Wingenroth, Jordan
Cooke, Roger
Parthum, Bryan
Smith, David
Cromar, Kevin
Diaz, Delavane
Moore, Frances C.
Müller, Ulrich K.
Plevin, Richard J.
Raftery, Adrian E.
Ševčíková, Hana
Sheets, Hannah
Stock, James H.
Tan, Tammy
Watson, Mark
Wong, Tony E.
Anthoff, David
author_sort Rennert, Kevin
collection PubMed
description The social cost of carbon dioxide (SC-CO(2)) measures the monetized value of the damages to society caused by an incremental metric tonne of CO(2) emissions and is a key metric informing climate policy. Used by governments and other decision-makers in benefit–cost analysis for over a decade, SC-CO(2) estimates draw on climate science, economics, demography and other disciplines. However, a 2017 report by the US National Academies of Sciences, Engineering, and Medicine(1) (NASEM) highlighted that current SC-CO(2) estimates no longer reflect the latest research. The report provided a series of recommendations for improving the scientific basis, transparency and uncertainty characterization of SC-CO(2) estimates. Here we show that improved probabilistic socioeconomic projections, climate models, damage functions, and discounting methods that collectively reflect theoretically consistent valuation of risk, substantially increase estimates of the SC-CO(2). Our preferred mean SC-CO(2) estimate is $185 per tonne of CO(2) ($44–$413 per tCO(2): 5%–95% range, 2020 US dollars) at a near-term risk-free discount rate of 2%, a value 3.6 times higher than the US government’s current value of $51 per tCO(2). Our estimates incorporate updated scientific understanding throughout all components of SC-CO(2) estimation in the new open-source Greenhouse Gas Impact Value Estimator (GIVE) model, in a manner fully responsive to the near-term NASEM recommendations. Our higher SC-CO(2) values, compared with estimates currently used in policy evaluation, substantially increase the estimated benefits of greenhouse gas mitigation and thereby increase the expected net benefits of more stringent climate policies.
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spelling pubmed-96058642022-10-28 Comprehensive evidence implies a higher social cost of CO(2) Rennert, Kevin Errickson, Frank Prest, Brian C. Rennels, Lisa Newell, Richard G. Pizer, William Kingdon, Cora Wingenroth, Jordan Cooke, Roger Parthum, Bryan Smith, David Cromar, Kevin Diaz, Delavane Moore, Frances C. Müller, Ulrich K. Plevin, Richard J. Raftery, Adrian E. Ševčíková, Hana Sheets, Hannah Stock, James H. Tan, Tammy Watson, Mark Wong, Tony E. Anthoff, David Nature Article The social cost of carbon dioxide (SC-CO(2)) measures the monetized value of the damages to society caused by an incremental metric tonne of CO(2) emissions and is a key metric informing climate policy. Used by governments and other decision-makers in benefit–cost analysis for over a decade, SC-CO(2) estimates draw on climate science, economics, demography and other disciplines. However, a 2017 report by the US National Academies of Sciences, Engineering, and Medicine(1) (NASEM) highlighted that current SC-CO(2) estimates no longer reflect the latest research. The report provided a series of recommendations for improving the scientific basis, transparency and uncertainty characterization of SC-CO(2) estimates. Here we show that improved probabilistic socioeconomic projections, climate models, damage functions, and discounting methods that collectively reflect theoretically consistent valuation of risk, substantially increase estimates of the SC-CO(2). Our preferred mean SC-CO(2) estimate is $185 per tonne of CO(2) ($44–$413 per tCO(2): 5%–95% range, 2020 US dollars) at a near-term risk-free discount rate of 2%, a value 3.6 times higher than the US government’s current value of $51 per tCO(2). Our estimates incorporate updated scientific understanding throughout all components of SC-CO(2) estimation in the new open-source Greenhouse Gas Impact Value Estimator (GIVE) model, in a manner fully responsive to the near-term NASEM recommendations. Our higher SC-CO(2) values, compared with estimates currently used in policy evaluation, substantially increase the estimated benefits of greenhouse gas mitigation and thereby increase the expected net benefits of more stringent climate policies. Nature Publishing Group UK 2022-09-01 2022 /pmc/articles/PMC9605864/ /pubmed/36049503 http://dx.doi.org/10.1038/s41586-022-05224-9 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rennert, Kevin
Errickson, Frank
Prest, Brian C.
Rennels, Lisa
Newell, Richard G.
Pizer, William
Kingdon, Cora
Wingenroth, Jordan
Cooke, Roger
Parthum, Bryan
Smith, David
Cromar, Kevin
Diaz, Delavane
Moore, Frances C.
Müller, Ulrich K.
Plevin, Richard J.
Raftery, Adrian E.
Ševčíková, Hana
Sheets, Hannah
Stock, James H.
Tan, Tammy
Watson, Mark
Wong, Tony E.
Anthoff, David
Comprehensive evidence implies a higher social cost of CO(2)
title Comprehensive evidence implies a higher social cost of CO(2)
title_full Comprehensive evidence implies a higher social cost of CO(2)
title_fullStr Comprehensive evidence implies a higher social cost of CO(2)
title_full_unstemmed Comprehensive evidence implies a higher social cost of CO(2)
title_short Comprehensive evidence implies a higher social cost of CO(2)
title_sort comprehensive evidence implies a higher social cost of co(2)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605864/
https://www.ncbi.nlm.nih.gov/pubmed/36049503
http://dx.doi.org/10.1038/s41586-022-05224-9
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