Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth

This paper simulates the increase in the average annual loss from tropical cyclones in the North Atlantic for the years 2015 and 2050. The simulation is based on assumptions concerning wealth trends in the regions affected by the storms, considered by the change in material assets (capital stock). F...

Full description

Bibliographic Details
Main Authors: Schmidt, Silvio, Kemfert, Claudia, Faust, Eberhard
Format: Report
Language:English
Published: Berlin: Deutsches Institut für Wirtschaftsforschung (DIW) 2009
Subjects:
USA
Online Access:http://hdl.handle.net/10419/29735
id ftzbwkiel:oai:econstor.eu:10419/29735
record_format openpolar
spelling ftzbwkiel:oai:econstor.eu:10419/29735 2023-12-03T10:26:58+01:00 Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth Schmidt, Silvio Kemfert, Claudia Faust, Eberhard 2009 http://hdl.handle.net/10419/29735 eng eng Berlin: Deutsches Institut für Wirtschaftsforschung (DIW) Series: DIW Discussion Papers No. 914 gbv-ppn:608201324 http://hdl.handle.net/10419/29735 RePEc:diw:diwwpp:dp914 http://www.econstor.eu/dspace/Nutzungsbedingungen ddc:330 Climate change tropical cyclones natural catastrophes insurance Klimaveränderung Sturm Soziale Kosten Versicherungsschaden Prognose Simulation Wahrscheinlichkeitsrechnung USA doc-type:workingPaper 2009 ftzbwkiel 2023-11-06T00:43:52Z This paper simulates the increase in the average annual loss from tropical cyclones in the North Atlantic for the years 2015 and 2050. The simulation is based on assumptions concerning wealth trends in the regions affected by the storms, considered by the change in material assets (capital stock). Further assumptions are made about the trend in storm intensity resulting from anthropogenic climate change. The simulations use a stochastic model that models the annual storm loss from the number of storms and the loss per storm event. The paper demonstrates that increasing wealth will continue to be the principle loss driver in the future (average annual loss in 2015 +32%, in 2050 +308%). But climate change will also lead to higher losses (average annual loss in 2015 +4%, in 2050 +11%). In order to reduce the uncertainties surrounding the assumptions on the trend in capital stock and storm intensity, a sensitivity analysis was carried out, based on the assumptions from current studies on the future costs for tropical storms. Report North Atlantic EconStor (German National Library of Economics, ZBW) Sturm ENVELOPE(162.967,162.967,-71.050,-71.050)
institution Open Polar
collection EconStor (German National Library of Economics, ZBW)
op_collection_id ftzbwkiel
language English
topic ddc:330
Climate change
tropical cyclones
natural catastrophes
insurance
Klimaveränderung
Sturm
Soziale Kosten
Versicherungsschaden
Prognose
Simulation
Wahrscheinlichkeitsrechnung
USA
spellingShingle ddc:330
Climate change
tropical cyclones
natural catastrophes
insurance
Klimaveränderung
Sturm
Soziale Kosten
Versicherungsschaden
Prognose
Simulation
Wahrscheinlichkeitsrechnung
USA
Schmidt, Silvio
Kemfert, Claudia
Faust, Eberhard
Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
topic_facet ddc:330
Climate change
tropical cyclones
natural catastrophes
insurance
Klimaveränderung
Sturm
Soziale Kosten
Versicherungsschaden
Prognose
Simulation
Wahrscheinlichkeitsrechnung
USA
description This paper simulates the increase in the average annual loss from tropical cyclones in the North Atlantic for the years 2015 and 2050. The simulation is based on assumptions concerning wealth trends in the regions affected by the storms, considered by the change in material assets (capital stock). Further assumptions are made about the trend in storm intensity resulting from anthropogenic climate change. The simulations use a stochastic model that models the annual storm loss from the number of storms and the loss per storm event. The paper demonstrates that increasing wealth will continue to be the principle loss driver in the future (average annual loss in 2015 +32%, in 2050 +308%). But climate change will also lead to higher losses (average annual loss in 2015 +4%, in 2050 +11%). In order to reduce the uncertainties surrounding the assumptions on the trend in capital stock and storm intensity, a sensitivity analysis was carried out, based on the assumptions from current studies on the future costs for tropical storms.
format Report
author Schmidt, Silvio
Kemfert, Claudia
Faust, Eberhard
author_facet Schmidt, Silvio
Kemfert, Claudia
Faust, Eberhard
author_sort Schmidt, Silvio
title Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
title_short Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
title_full Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
title_fullStr Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
title_full_unstemmed Simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
title_sort simulation of economic losses from tropical cyclones in the years 2015 and 2050: the effects of anthropogenic climate change and growing wealth
publisher Berlin: Deutsches Institut für Wirtschaftsforschung (DIW)
publishDate 2009
url http://hdl.handle.net/10419/29735
long_lat ENVELOPE(162.967,162.967,-71.050,-71.050)
geographic Sturm
geographic_facet Sturm
genre North Atlantic
genre_facet North Atlantic
op_relation Series: DIW Discussion Papers
No. 914
gbv-ppn:608201324
http://hdl.handle.net/10419/29735
RePEc:diw:diwwpp:dp914
op_rights http://www.econstor.eu/dspace/Nutzungsbedingungen
_version_ 1784276469399158784