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Global supply chains amplify economic costs of future extreme heat risk.
Sun, Yida; Zhu, Shupeng; Wang, Daoping; Duan, Jianping; Lu, Hui; Yin, Hao; Tan, Chang; Zhang, Lingrui; Zhao, Mengzhen; Cai, Wenjia; Wang, Yong; Hu, Yixin; Tao, Shu; Guan, Dabo.
Affiliation
  • Sun Y; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
  • Zhu S; Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.
  • Wang D; Advanced Power and Energy Program, University of California Irvine, Irvine, CA, USA.
  • Duan J; Department of Geography, King's College London, London, UK.
  • Lu H; Centre for Climate Engagement, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.
  • Yin H; State Key Laboratory of Earth Surface and Ecological Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
  • Tan C; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
  • Zhang L; Tsinghua University (Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing, China.
  • Zhao M; Department of Economics, University of Southern California, Los Angeles, CA, USA.
  • Cai W; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
  • Wang Y; Department of Economics, University of Waterloo, Waterloo, Ontario, Canada.
  • Hu Y; School of Management and Economics, Beijing Institute of Technology, Beijing, China.
  • Tao S; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
  • Guan D; Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Nature ; 627(8005): 797-804, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38480894
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nature Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nature Year: 2024 Document type: Article Affiliation country: