Quantifying indirect economic losses from extreme events to inform global and local adaptation strategies

Existing studies on extreme event attribution are typically event-specific, particularly those conducted since the early 2000s. They primarily focus on direct economic losses to people and physical assets while overlooking the broader indirect losses that ripple through supply chains. Here, we combi...

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Published inAdvances in climate change research Vol. 16; no. 4; pp. 674 - 687
Main Authors Wang, Bo-Wen, He, Yi, Wu, Wen-Hao, Teng, Fei
Format Journal Article
LanguageEnglish
Published Beijing Elsevier B.V 01.08.2025
KeAi Publishing Communications Ltd
KeAi Communications Co., Ltd
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Online AccessGet full text
ISSN1674-9278
1674-9278
DOI10.1016/j.accre.2025.07.001

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Abstract Existing studies on extreme event attribution are typically event-specific, particularly those conducted since the early 2000s. They primarily focus on direct economic losses to people and physical assets while overlooking the broader indirect losses that ripple through supply chains. Here, we combine disaster data with attribution studies and employ a global multi-regional input‒output model to assess both direct and indirect economic losses from droughts, floods, and storms attributable to anthropogenic climate change between 2009 and 2019. Our findings reveal that such extreme events cause 60.32 billion USD in direct economic losses and 65.07 billion USD in indirect economic losses annually—together accounting for about 46% of total losses from all extreme events. Climate adaptation investments are urgently needed in sectors such as manufacturing, agriculture, construction, transportation, and finance, with vulnerable regions concentrated in parts of Asia. International trade and industry linkages amplify the domestic impact of international extreme events, with 17% of China's attributable losses stemming from disasters abroad. This suggests that overseas adaptation could yield domestic resilience benefits. This study underscores the interconnected nature of global economic resilience against climate change and supports the design of equitable, science-based international climate finance mechanisms.
AbstractList Existing studies on extreme event attribution are typically event-specific, particularly those conducted since the early 2000s. They primarily focus on direct economic losses to people and physical assets while overlooking the broader indirect losses that ripple through supply chains. Here, we combine disaster data with attribution studies and employ a global multi-regional input-output model to assess both direct and indirect economic losses from droughts, floods, and storms attributable to anthropogenic climate change between 2009 and 2019. Our findings reveal that such extreme events cause 60.32 billion USD in direct economic losses and 65.07 billion USD in indirect economic losses annually-together accounting for about 46% of total losses from all extreme events. Climate adaptation investments are urgently needed in sectors such as manufacturing, agriculture, construction, transportation, and finance, with vulnerable regions concentrated in parts of Asia. International trade and industry linkages amplify the domestic impact of international extreme events, with 17% of China's attributable losses stemming from disasters abroad. This suggests that overseas adaptation could yield domestic resilience benefits. This study underscores the interconnected nature of global economic resilience against climate change and supports the design of equitable, science-based international climate finance mechanisms.
Author He, Yi
Wu, Wen-Hao
Teng, Fei
Wang, Bo-Wen
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Issue 4
Keywords Climate adaptation
Economic impact
Impact attribution
Multi-regional input‒output analysis
Extreme events
Language English
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SubjectTerms Adaptation
Agricultural production
Capital assets
Capital stock
Climate adaptation
Climate change
Climate finance
Developing countries
Disasters
Drought
Economic impact
Economics
Extreme events
Finance
Global economy
Human influences
Impact attribution
Infrastructure
International trade
LDCs
Multi-regional input‒output analysis
Regions
Resilience
Supply chains
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Title Quantifying indirect economic losses from extreme events to inform global and local adaptation strategies
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