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  New damage curves and multimodel analysis suggest lower optimal temperature

van der Wijst, K.-I., Bosello, F., Dasgupta, S., Drouet, L., Emmerling, J., Hof, A., Leimbach, M., Parrado, R., Piontek, F., Standardi, G., van Vuuren, D. (2023): New damage curves and multimodel analysis suggest lower optimal temperature. - Nature Climate Change, 13, 434-441.
https://doi.org/10.1038/s41558-023-01636-1

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van der Wijst, Kaj-Ivar1, Autor
Bosello, Francesco1, Autor
Dasgupta, Shouro1, Autor
Drouet, Laurent1, Autor
Emmerling, Johannes1, Autor
Hof, Andries1, Autor
Leimbach, Marian2, Autor              
Parrado, Ramiro1, Autor
Piontek, Franziska2, Autor              
Standardi, Gabriele1, Autor
van Vuuren, Detlef1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Economic analyses of global climate change have been criticized for their poor representation of climate change damages. Here we develop and apply aggregate damage functions in three economic Integrated Assessment Models (IAMs) with different degrees of complexity. The damage functions encompass a wide but still incomplete set of climate change impacts based on physical impact models. We show that with medium estimates for damage functions, global damages are in the range of 10% to 12% of GDP by 2100 in a baseline scenario with 3 °C temperature change, and about 2% in a well-below 2 °C scenario. These damages are much higher than previous estimates in benefit-cost studies, resulting in optimal temperatures below 2 °C with central estimates of damages and discount rates. Moreover, we find a benefit-cost ratio of 1.5 to 3.9, even without considering damages that could not be accounted for, such as biodiversity losses, health and tipping points.

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Sprache(n): eng - Englisch
 Datum: 2022-05-062023-02-172023-03-232023-05
 Publikationsstatus: Final veröffentlicht
 Seiten: 12
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41558-023-01636-1
MDB-ID: yes - 3420
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Working Group: Macroeconomic modeling of climate change mitigation and impacts
Model / method: Model Intercomparison
Model / method: REMIND
Regional keyword: Global
Research topic keyword: Climate impacts
Research topic keyword: Economics
 Art des Abschluß: -

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Titel: Nature Climate Change
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 13 Artikelnummer: - Start- / Endseite: 434 - 441 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature