Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...

Global warming is likely to increase the proportion of intense hurricanes in the North Atlantic. Here, we analyze how this may affect economic growth. To this end, we introduce an event-based macroeconomic growth model that temporally resolves how growth depends on the heterogeneity of hurricane sho...

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Main Authors: Otto, Christian, Kuhla, Kilian, Geiger, Tobias, Schewe, Jacob, Frieler, Katja
Format: Article in Journal/Newspaper
Language:English
Published: Washington, DC [u.a.] : Assoc. 2023
Subjects:
500
Online Access:https://dx.doi.org/10.34657/10924
https://oa.tib.eu/renate/handle/123456789/11891
id ftdatacite:10.34657/10924
record_format openpolar
spelling ftdatacite:10.34657/10924 2023-06-11T04:14:28+02:00 Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ... Otto, Christian Kuhla, Kilian Geiger, Tobias Schewe, Jacob Frieler, Katja 2023 https://dx.doi.org/10.34657/10924 https://oa.tib.eu/renate/handle/123456789/11891 en eng Washington, DC [u.a.] : Assoc. Creative Commons Attribution 4.0 International CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Annual growth Economic growths Event-based Growth loss Growth models Insurance coverages North Atlantic climate change economic aspect economic development greenhouse effect human hurricane insurance United States 500 CreativeWork article 2023 ftdatacite https://doi.org/10.34657/10924 2023-05-02T10:13:22Z Global warming is likely to increase the proportion of intense hurricanes in the North Atlantic. Here, we analyze how this may affect economic growth. To this end, we introduce an event-based macroeconomic growth model that temporally resolves how growth depends on the heterogeneity of hurricane shocks. For the United States, we find that economic growth losses scale superlinearly with shock heterogeneity. We explain this by a disproportional increase of indirect losses with the magnitude of direct damage, which can lead to an incomplete recovery of the economy between consecutive intense landfall events. On the basis of two different methods to estimate the future frequency increase of intense hurricanes, we project annual growth losses to increase between 10 and 146% in a 2°C world compared to the period 1980–2014. Our modeling suggests that higher insurance coverage can compensate for this climate change–induced increase in growth losses. ... Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Annual growth
Economic growths
Event-based
Growth loss
Growth models
Insurance coverages
North Atlantic
climate change
economic aspect
economic development
greenhouse effect
human
hurricane
insurance
United States
500
spellingShingle Annual growth
Economic growths
Event-based
Growth loss
Growth models
Insurance coverages
North Atlantic
climate change
economic aspect
economic development
greenhouse effect
human
hurricane
insurance
United States
500
Otto, Christian
Kuhla, Kilian
Geiger, Tobias
Schewe, Jacob
Frieler, Katja
Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
topic_facet Annual growth
Economic growths
Event-based
Growth loss
Growth models
Insurance coverages
North Atlantic
climate change
economic aspect
economic development
greenhouse effect
human
hurricane
insurance
United States
500
description Global warming is likely to increase the proportion of intense hurricanes in the North Atlantic. Here, we analyze how this may affect economic growth. To this end, we introduce an event-based macroeconomic growth model that temporally resolves how growth depends on the heterogeneity of hurricane shocks. For the United States, we find that economic growth losses scale superlinearly with shock heterogeneity. We explain this by a disproportional increase of indirect losses with the magnitude of direct damage, which can lead to an incomplete recovery of the economy between consecutive intense landfall events. On the basis of two different methods to estimate the future frequency increase of intense hurricanes, we project annual growth losses to increase between 10 and 146% in a 2°C world compared to the period 1980–2014. Our modeling suggests that higher insurance coverage can compensate for this climate change–induced increase in growth losses. ...
format Article in Journal/Newspaper
author Otto, Christian
Kuhla, Kilian
Geiger, Tobias
Schewe, Jacob
Frieler, Katja
author_facet Otto, Christian
Kuhla, Kilian
Geiger, Tobias
Schewe, Jacob
Frieler, Katja
author_sort Otto, Christian
title Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
title_short Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
title_full Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
title_fullStr Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
title_full_unstemmed Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming ...
title_sort better insurance could effectively mitigate the increase in economic growth losses from u.s. hurricanes under global warming ...
publisher Washington, DC [u.a.] : Assoc.
publishDate 2023
url https://dx.doi.org/10.34657/10924
https://oa.tib.eu/renate/handle/123456789/11891
genre North Atlantic
genre_facet North Atlantic
op_rights Creative Commons Attribution 4.0 International
CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.34657/10924
_version_ 1768392490098884608