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Wave-like global economic ripple response to Hurricane Sandy

Urheber*innen
/persons/resource/Robin.Middelanis

Middelanis,  Robin
Potsdam Institute for Climate Impact Research;

/persons/resource/sven.willner

Willner,  Sven
Potsdam Institute for Climate Impact Research;

/persons/resource/christian.otto

Otto,  Christian
Potsdam Institute for Climate Impact Research;

/persons/resource/Kilian.Kuhla

Kuhla,  Kilian
Potsdam Institute for Climate Impact Research;

/persons/resource/Lennart.Quante

Quante,  Lennart
Potsdam Institute for Climate Impact Research;

/persons/resource/Levermann

Levermann,  Anders
Potsdam Institute for Climate Impact Research;

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Zitation

Middelanis, R., Willner, S., Otto, C., Kuhla, K., Quante, L., Levermann, A. (2021): Wave-like global economic ripple response to Hurricane Sandy. - Environmental Research Letters, 16, 12, 124049.
https://doi.org/10.1088/1748-9326/ac39c0


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_26306
Zusammenfassung
Tropical cyclones range among the costliest disasters on Earth. Their economic repercussions along the supply and trade network also affect remote economies that are not directly affected. We here simulate possible global repercussions on consumption for the example case of Hurricane Sandy in the US (2012) using the shock-propagation model Acclimate. The modeled shock yields a global three-phase ripple: an initial production demand reduction and associated consumption price decrease, followed by a supply shortage with increasing prices, and finally a recovery phase. Regions with strong trade relations to the US experience strong magnitudes of the ripple. A dominating demand reduction or supply shortage leads to overall consumption gains or losses of a region, respectively. While finding these repercussions in historic data is challenging due to strong volatility of economic interactions, numerical models like ours can help to identify them by approaching the problem from an exploratory angle, isolating the effect of interest. For this, our model simulates the economic interactions of over 7000 regional economic sectors, interlinked through about 1.8 million trade relations. Under global warming, the wave-like structures of the economic response to major hurricanes like the one simulated here are likely to intensify and potentially overlap with other weather extremes.