Co-benefits of climate mitigation: Counting statistical lives or life-years?

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Co-benefits of climate mitigation: Counting statistical lives or life-years? / Andersen, Mikael Skou.

In: Ecological Indicators, Vol. 79, 2017, p. 11-18.

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@article{f590e72f24c64879aba2f59f459abb6a,
title = "Co-benefits of climate mitigation: Counting statistical lives or life-years?",
abstract = "Making up for air pollution related mortality and accounting for the number of deaths has become an important environmental indicator in its own right, but differences across the Atlantic over how to account for these are making it difficult to find common ground in climate policy appraisals, where co-benefits from reducing air pollution of fossil fuels is to be factored in. This article revisits established quantification methodologies for air pollution related mortality applied by government agencies in USA and EU. Demographic lifetables are applied to explore uncertainties over latency periods and the number of affected victims. These lifetable simulations are based on WHO consensus estimates for the mortality risk ratio related to long-term exposures and suggest an average loss of life expectancy of 9–11 years for an annual air pollution exposure increase of 10 ugPM2.5/m3. With a common OECD base value approach the air pollution costs related to fossil fuels are found to be about 3 times lower with EU versus US methodology.",
keywords = "Impact assessment, Externalities, Air pollution mortality, Life tables, Statistical life, VSL",
author = "Andersen, {Mikael Skou}",
year = "2017",
doi = "10.1016/j.ecolind.2017.03.051",
language = "English",
volume = "79",
pages = "11--18",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Co-benefits of climate mitigation: Counting statistical lives or life-years?

AU - Andersen, Mikael Skou

PY - 2017

Y1 - 2017

N2 - Making up for air pollution related mortality and accounting for the number of deaths has become an important environmental indicator in its own right, but differences across the Atlantic over how to account for these are making it difficult to find common ground in climate policy appraisals, where co-benefits from reducing air pollution of fossil fuels is to be factored in. This article revisits established quantification methodologies for air pollution related mortality applied by government agencies in USA and EU. Demographic lifetables are applied to explore uncertainties over latency periods and the number of affected victims. These lifetable simulations are based on WHO consensus estimates for the mortality risk ratio related to long-term exposures and suggest an average loss of life expectancy of 9–11 years for an annual air pollution exposure increase of 10 ugPM2.5/m3. With a common OECD base value approach the air pollution costs related to fossil fuels are found to be about 3 times lower with EU versus US methodology.

AB - Making up for air pollution related mortality and accounting for the number of deaths has become an important environmental indicator in its own right, but differences across the Atlantic over how to account for these are making it difficult to find common ground in climate policy appraisals, where co-benefits from reducing air pollution of fossil fuels is to be factored in. This article revisits established quantification methodologies for air pollution related mortality applied by government agencies in USA and EU. Demographic lifetables are applied to explore uncertainties over latency periods and the number of affected victims. These lifetable simulations are based on WHO consensus estimates for the mortality risk ratio related to long-term exposures and suggest an average loss of life expectancy of 9–11 years for an annual air pollution exposure increase of 10 ugPM2.5/m3. With a common OECD base value approach the air pollution costs related to fossil fuels are found to be about 3 times lower with EU versus US methodology.

KW - Impact assessment

KW - Externalities

KW - Air pollution mortality

KW - Life tables

KW - Statistical life

KW - VSL

U2 - 10.1016/j.ecolind.2017.03.051

DO - 10.1016/j.ecolind.2017.03.051

M3 - Journal article

VL - 79

SP - 11

EP - 18

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -