Assessment of the economic impact of heat-related labor productivity loss: a systematic review

被引:29
作者
Zhao, Mengzhen [1 ,2 ]
Lee, Jason Kai Wei [3 ,4 ,5 ,6 ,7 ,8 ]
Kjellstrom, Tord [9 ,10 ]
Cai, Wenjia [1 ,2 ]
机构
[1] Tsinghua Univ, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China
[3] Natl Univ Singapore, Yong Loo Lin Sch Med, Human Potential Translat Res Programme, Singapore, Singapore
[4] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Physiol, Singapore, Singapore
[5] Natl Univ Singapore, Inst Hlth 1, Singapore, Singapore
[6] Natl Univ Singapore, Global Asia Inst, Singapore, Singapore
[7] Natl Univ Singapore, Inst Digital Med, Yong Loo Lin Sch Med, Singapore, Singapore
[8] ASTAR, Singapore Inst Clin Sci, Singapore, Singapore
[9] Hlth & Environm Int Trust, Mapua, New Zealand
[10] Australian Natl Univ, Natl Ctr Epidemiol & Populat Hlth, Canberra, ACT, Australia
基金
中国国家自然科学基金; 国家重点研发计划; 新加坡国家研究基金会;
关键词
Climate change; High temperature; Labor capacity; Economic assessment; CLIMATE-CHANGE; OCCUPATIONAL-HEALTH; WORK PRODUCTIVITY; STRESS; COSTS; EXPOSURE; WAVES; PRESENTEEISM; TEMPERATURES; INCREASES;
D O I
10.1007/s10584-021-03160-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heat stress caused by climate change and heat-related labor productivity losses have become global concerns. Estimating the economic impacts of heat stress is of great significance for employers, as well as sectoral and national policy makers who are searching for solutions to reduce productivity losses. As the value of economic impacts are sensitive to the research methodologies, we conducted a systematic review of published literature on the methodologies and results of economic impacts of heat on labor productivity. Four methods were summarized: the human capital (HC) method, the econometric method (EM), the input-output (IO) method, and the computable general equilibrium (CGE) model. Considering adaptation measures, global economic losses due to heat-related labor productivity losses are projected to range from 0.31% (0.14-0.5%, RCP2.6) to 2.6% (1.4-4%, RCP8.5) of global GDP in 2100. The published studies found that large economic losses occurred mainly in South and Southeast Asia, Sub-Saharan Africa, and Central America. Owing to different methodologies and considerations of adaptation measures, the disparities of results within the same area at a given time can be as high as 7.4-fold. We summarized the knowledge gaps in existing studies and proposed new directions to provide more targeted and reliable results for policy makers.
引用
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页数:16
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