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Stressed economies respond more strongly to climate extremes

Authors
/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/Kilian.Kuhla

Kuhla,  Kilian
Potsdam Institute for Climate Impact Research;

/persons/resource/Lennart.Quante

Quante,  Lennart
Potsdam Institute for Climate Impact Research;

/persons/resource/christian.otto

Otto,  Christian
Potsdam Institute for Climate Impact Research;

/persons/resource/Levermann

Levermann,  Anders
Potsdam Institute for Climate Impact Research;

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28865oa.pdf
(Publisher version), 14MB

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Citation

Middelanis, R., Willner, S., Kuhla, K., Quante, L., Otto, C., Levermann, A. (2023): Stressed economies respond more strongly to climate extremes. - Environmental Research Letters, 18, 9, 094034.
https://doi.org/10.1088/1748-9326/acec5e


Cite as: https://publications.pik-potsdam.de/pubman/item/item_28865
Abstract
Economies experience stress for various reasons such as the global Covid-19 pandemic beginning in 2020. The associated lock-downs caused local economic losses and the disruption of international supply chains. In addition, such stress alters the effects of short-term shocks as caused by climate extremes, especially their propagation through the economic network and the resulting repercussions. Here we show that adverse indirect impacts of tropical cyclones, river floods, and heat stress on global consumption are strongly enhanced when the economy is under stress. This compound effect results from aggravated scarcity causing higher consumer prices. Modeling climate impacts during Covid-19, we find that in a stressed economy with the current network structure, consumption losses due to climate extremes double in the USA and triple in China. The simulated effects intensify when climate shocks grow stronger. Our results emphasize the amplifying role of the interaction between climate change and its socioeconomic backdrop.