Author
Listed:
- Yida Sun
(Tsinghua University)
- Shupeng Zhu
(Zhejiang University
University of California Irvine)
- Daoping Wang
(King’s College London
University of Cambridge)
- Jianping Duan
(Beijing Normal University)
- Hui Lu
(Tsinghua University
Tsinghua University (Department of Earth System Science)—Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping)
- Hao Yin
(University of Southern California)
- Chang Tan
(Tsinghua University)
- Lingrui Zhang
(University of Waterloo)
- Mengzhen Zhao
(Beijing Institute of Technology)
- Wenjia Cai
(Tsinghua University)
- Yong Wang
(Tsinghua University)
- Yixin Hu
(Southeast University)
- Shu Tao
(Peking University)
- Dabo Guan
(Tsinghua University
University College London)
Abstract
Evidence shows a continuing increase in the frequency and severity of global heatwaves1,2, raising concerns about the future impacts of climate change and the associated socioeconomic costs3,4. Here we develop a disaster footprint analytical framework by integrating climate, epidemiological and hybrid input–output and computable general equilibrium global trade models to estimate the midcentury socioeconomic impacts of heat stress. We consider health costs related to heat exposure, the value of heat-induced labour productivity loss and indirect losses due to economic disruptions cascading through supply chains. Here we show that the global annual incremental gross domestic product loss increases exponentially from 0.03 ± 0.01 (SSP 245)–0.05 ± 0.03 (SSP 585) percentage points during 2030–2040 to 0.05 ± 0.01–0.15 ± 0.04 percentage points during 2050–2060. By 2060, the expected global economic losses reach a total of 0.6–4.6% with losses attributed to health loss (37–45%), labour productivity loss (18–37%) and indirect loss (12–43%) under different shared socioeconomic pathways. Small- and medium-sized developing countries suffer disproportionately from higher health loss in South-Central Africa (2.1 to 4.0 times above global average) and labour productivity loss in West Africa and Southeast Asia (2.0–3.3 times above global average). The supply-chain disruption effects are much more widespread with strong hit to those manufacturing-heavy countries such as China and the USA, leading to soaring economic losses of 2.7 ± 0.7% and 1.8 ± 0.5%, respectively.
Suggested Citation
Yida Sun & Shupeng Zhu & Daoping Wang & Jianping Duan & Hui Lu & Hao Yin & Chang Tan & Lingrui Zhang & Mengzhen Zhao & Wenjia Cai & Yong Wang & Yixin Hu & Shu Tao & Dabo Guan, 2024.
"Global supply chains amplify economic costs of future extreme heat risk,"
Nature, Nature, vol. 627(8005), pages 797-804, March.
Handle:
RePEc:nat:nature:v:627:y:2024:i:8005:d:10.1038_s41586-024-07147-z
DOI: 10.1038/s41586-024-07147-z
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Citations
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Cited by:
- Fan, Dian & Chen, Shaoqing, 2024.
"No pain, no gain? Simulation of carbon reduction potential and socioeconomic effects of voluntary carbon trading in China during 2021–2060,"
Applied Energy, Elsevier, vol. 375(C).
- Ling Tang & Junai Yang & Jiali Zheng & Xinlu Sun & Lu Cheng & Kehan He & Ling Li & Jinkai Li & Wenjia Cai & Shouyang Wang & Paul Drummond & Zhifu Mi, 2024.
"Assessing the impacts of fertility and retirement policies on China’s carbon emissions,"
Nature Climate Change, Nature, vol. 14(12), pages 1261-1267, December.
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