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Exposure to excessive heat and impacts on labour productivity linked to cumulative CO2 emissions

机译:暴露于过多的热量中并与累积的CO2排放量相关联对劳动生产率产生影响

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摘要

Cumulative CO2 emissions are a robust predictor of mean temperature increase. However, many societal impacts are driven by exposure to extreme weather conditions. Here, we show that cumulative emissions can be robustly linked to regional changes of a heat exposure indicator, as well as the resulting socioeconomic impacts associated with labour productivity loss in vulnerable economic sectors. We estimate historical and future increases in heat exposure using simulations from eight Earth System Models. Both the global intensity and spatial pattern of heat exposure evolve linearly with cumulative emissions across scenarios (1% CO2, RCP4.5 and RCP8.5). The pattern of heat exposure at a given level of global temperature increase is strongly affected by non-CO2 forcing. Global non-CO2 greenhouse gas emissions amplify heat exposure, while high local emissions of aerosols could moderate exposure. Considering CO2 forcing only, we commit ourselves to an additional annual loss of labour productivity of about 2% of total GDP per unit of trillion tonne of carbon emitted. This loss doubles when adding non-CO2 forcing of the RCP8.5 scenario. This represents an additional economic loss of about 4,400 G$ every year (i.e. 0.59 $/tCO2), varying across countries with generally higher impact in lower-income countries.
机译:累积的二氧化碳排放量是平均温度升高的有力预测指标。但是,许多社会影响是受到极端天气条件的影响。在这里,我们表明,累积排放量可以与受热指标的区域变化以及脆弱的经济部门中与劳动生产率损失相关的由此产生的社会经济影响密切相关。我们使用来自八个地球系统模型的模拟来估算热量暴露的历史和未来增长。在不同情景下(1%CO2,RCP4.5和RCP8.5),全球暴露的强度和空间分布都随着累积排放线性变化。在非全球性的二氧化碳强迫下,给定的全球温度升高水平下的热辐射方式会受到严重影响。全球非CO2温室气体排放量增加了热能暴露量,而局部高水平的气溶胶排放量可能会缓解热能暴露量。仅考虑二氧化碳的强迫作用,我们承诺每年将导致劳动生产率的额外损失,即每排放一万亿吨碳的总量约占GDP的2%。当添加非CO2强制的RCP8.5方案时,此损失将增加一倍。这表示每年额外的经济损失约为4,400-G $(即0.59 $ / tCO2),在不同国家之间有所不同,对低收入国家的影响通常更大。

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