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Future temperature-related labour loss due to premature deaths: a multi-country study

  • Bo Wen
  • , Zanfina Ademi
  • , Yao Wu
  • , Rongbin Xu
  • , Pei Yu
  • , Yanming Liu
  • , Wenhua Yu
  • , Tingting Ye
  • , Wenzhong Huang
  • , Zhengyu Yang
  • , Yiwen Zhang
  • , Yuxi Zhang
  • , Ke Ju
  • , Simon Hales
  • , Eric Lavigne
  • , Paulo Hilario Nascimento Saldiva
  • , Micheline de Sousa Zanotti Stagliorio Coêlho
  • , Patricia Matus
  • , Ho Kim
  • , Kraichat Tantrakarnapa
  • Wissanupong Kliengchuay, Anthony Capon, Peng Bi, Bin Jalaludin, Wenbiao Hu, Donna Green, Ying Zhang, Julie Arblaster, Dung Phung, Yuming Guo, Shanshan Li*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The ongoing climate change is expected to lead to a significant increase in the frequency and intensity of climate extremes. However, the impact of cold and hot temperatures on labour loss, through causing premature deaths in the future, remains largely unknown. We collected historic daily all-cause mortality data during 1986–2019 from 1066 locations in seven countries. A two-stage time-series approach was applied to estimate associations between non-optimum temperatures and the productivity-adjusted life year (PALY) loss due to premature deaths. These associations were then combined with projected daily temperatures under three climate change scenarios from 2021 to 2100 to quantify future PALY losses attributable to temperatures. Overall, we projected an increase in heat-related PALY loss and a decrease in cold-related PALY loss in the future. Under the SSP5-8.5 scenario, the heat-related PALY loss is projected to increase by 7.5% by the end of 2100 compared to the historical period (2001-2020), resulting in a net increase in excess PALY loss of 6.8%, greater than the net changes projected under the SSP3-7.0 (5.7%) and SSP1-2.6 (0.6%) scenarios. Brazil and Thailand were projected to experience an increase in excess heat-related PALY loss, while a reduction in excess cold-related PALY loss was projected to be most prominent in Thailand. The magnitude of the change in both heat- and cold-related PALY loss was largely affected by socioeconomic factors, such as GDP per capita and the deprivation level. This study provides a better understanding of the impacts of climate change on labour loss and provides evidence to inform targeted adaptation strategies and policy responses aimed at mitigating the socioeconomic impacts of climate change.

Original languageEnglish
Article number124045
Pages (from-to)124045
JournalEnvironmental Research
Volume296
DOIs
StatePublished - 1 Apr 2026

Bibliographical note

Copyright © 2026 The Authors. Published by Elsevier Inc. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Humans
  • Climate Change
  • Mortality, Premature/trends
  • Hot Temperature/adverse effects
  • Cold Temperature/adverse effects

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