research product . Other ORP type . 2020

The welfare implications of climate change-related mortality: Inequality and population ethics

Fleurbaey, Marc; Méjean, Aurélie; Pottier, Antonin; Zuber, Stéphane;
  • Published: 01 Mar 2020
  • Publisher: HAL CCSD
  • Country: France
URL des Documents de travail :; Document de travail du Centre d'Economie de la Sorbonne 2020.26 - ISSN : 1955-611X; Climate change-related mortality may strongly affect human well-being. By reducing life expectancy, it reduces the well-being of some infividuals. This may exacerbate existing inequalities: ex-ante inequality among people in different groups or regions of the world; ex-post inequality in experienced well-being by people in the same generation. But mortality may also reduce total population size by preventing some individuals from having children. This raises the population-ethical problem of how total population size should be valued. This paper proposes a methodology to measure te welfare effects of climate change through population and inequality change. We illustrate the methodology using a climate-economy integrated assessment model involving endogenous population change due to climate change-related mortality.
Medical Subject Headings: sense organsskin and connective tissue diseases
free text keywords: population ethics, Climate change-related mortality, inequality, fairness, JEL: D - Microeconomics/D.D6 - Welfare Economics/D.D6.D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement, JEL: D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D81 - Criteria for Decision-Making under Risk and Uncertainty, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies
Related Organizations
Funded by
Fairness, climate change and population
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-16-CE03-0001
Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making
  • Funder: European Commission (EC)
  • Project Code: 821124
  • Funding stream: H2020 | RIA
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