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

Publication

Narrative and quantitative analysis of democratic principles in the Shared Socioeconomic Pathways

Although climate action is highly intertwined with governance structures, climate policy modelling science has been argued to insufficiently reflect political processes. We analyse the evolution of democratic governance embedded in the Shared Socioeconomic Pathways (SSPs) that are heavily underpinning modelling studies. Using the Narrative Policy Framework in the SSPs storylines,

Narrative and quantitative analysis of democratic principles in the Shared Socioeconomic Pathways

Although climate action is highly intertwined with governance structures, climate policy modelling science has been argued to insufficiently reflect political processes. We analyse the evolution of democratic governance embedded in the Shared Socioeconomic Pathways (SSPs) that are heavily underpinning modelling studies. Using the Narrative Policy Framework in the SSPs storylines, we find underrepresentation of narratives explicitly centring on democratic principles such as participation, accountability and justice, despite their importance in envisioning legitimate and inclusive transitions. An evaluation of quantitative indicators within the SSP framework under the same democratic principles shows divergence from the patterns implied by the storylines. Finally, analysis of scenarios assessed in the 6th Assessment Report of the Intergovernmental Panel on Climate Change shows that regions scoring high in democracy-related indicators tend to perform well in mitigation, aligning with empirical evidence. These findings highlight opportunities to enhance the SSP framework to inter alia more adequately incorporate political processes.

Xexakis, G., Spatharidou, D., Bala, I. et al. Narrative and quantitative analysis of democratic principles in the Shared Socioeconomic Pathways. npj Clim. Action 5, 24 (2026)
https://doi.org/10.1038/s44168-026-00351-9

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