Exploring patterns of distributional justice in global climate change mitigation scenarios
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Published version
Author(s)
Type
Journal Article
Abstract
Collective climate action hinges on the distribution of benefits and burdens of climate change mitigation. Yet assumptions relevant to distributional justice are frequently made only implicitly in climate change mitigation scenarios. Here, we introduce the patterns of the distributional justice framework that operationalize philosophical justice theories as quantitative requirements for scenario trajectories. We then apply this framework to the IPCC AR6 scenario database to assess the distributional implications of global climate change mitigation scenarios across world regions. Focusing on scenario variables related to energy and meat consumption, we found a diversity of patterns of justice across scenario characteristics. The prioritarian perspective, which prioritizes improvements to those currently worse off, emerged as the most dominant pattern of justice. By contrast, futures with limited or reduced energy and meat consumption were the least represented in the database. Our research further indicates that most scenarios consistent with patterns of justice do not explicitly aim to model more just futures, suggesting that underlying scenario narratives—most often SSP2—largely determine the distributional outcomes. We therefore propose a stakeholder engagement strategy to make distributional justice assumptions in scenario development ex-ante more diverse and transparent. Overall, this study provides a practical avenue for developing justice-conscious scenarios that may be more likely to motivate collective climate action.
Date Issued
2026-03-31
Date Acceptance
2026-03-10
Citation
npj Climate Action, 2026, 5
ISSN
2731-9814
Publisher
Nature Portfolio
Journal / Book Title
npj Climate Action
Volume
5
Copyright Statement
© The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
10.1038/s44168-026-00364-4
Publication Status
Published
Article Number
39
Date Publish Online
2026-03-31
