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 in | Advances in climate change research Vol. 16; no. 4; pp. 674 - 687 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Elsevier B.V
01.08.2025
KeAi Publishing Communications Ltd KeAi Communications Co., Ltd |
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Online Access | Get full text |
ISSN | 1674-9278 1674-9278 |
DOI | 10.1016/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. |
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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 |
Author_xml | – sequence: 1 givenname: Bo-Wen orcidid: 0009-0000-7606-2775 surname: Wang fullname: Wang, Bo-Wen organization: Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China – sequence: 2 givenname: Yi surname: He fullname: He, Yi organization: Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China – sequence: 3 givenname: Wen-Hao surname: Wu fullname: Wu, Wen-Hao organization: School of Environment, Beijing Normal University, Beijing 100091, China – sequence: 4 givenname: Fei orcidid: 0000-0003-0371-1142 surname: Teng fullname: Teng, Fei email: tengfei@tsinghua.edu.cn organization: Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China |
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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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