Beta This website is in development — content and design are still changing
IAMC

Publication

Climate change impacts increase economic inequality: evidence from a systematic literature review

While it is widely assumed that poor countries will suffer more from climate change, and that climate change will exacerbate inequalities within countries, systematic and large-scale evidence on this issue has been limited. In this systematic literature review, Méjean et al examine and synthesize the evidence from the literature. Drawing from

Climate change impacts increase economic inequality: evidence from a systematic literature review

While it is widely assumed that poor countries will suffer more from climate change, and that climate change will exacerbate inequalities within countries, systematic and large-scale evidence on this issue has been limited. In this systematic literature review, Méjean et al examine and synthesize the evidence from the literature. Drawing from 127 individual papers, they find robust evidence that climate change impacts indeed increase economic inequality and disproportionately affect the poor, both globally and within countries on all continents. This result is valid across a wide range of physical impacts, types of economic inequality, economic sectors, and assessment methods. Furthermore, the authors highlight the channels through which climate change increases economic inequality. While the diversity of different approaches and metrics in the existing literature base precludes extracting a universal quantitative relation between climate change and economic inequality for use in future modelling, their systematic analysis provides an important stepping stone in that direction.

Climate change impacts increase economic inequality: evidence from a systematic literature review
Aurélie Méjean, Peron Collins-Sowah, Céline Guivarch, Franziska Piontek, Bjoern Soergel and Nicolas Taconet

More publications

A harmonised dataset for Earth system foundation models

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic