Mitigation efforts to reduce carbon dioxide emissions and meet the Paris Agreement have been offset by economic growth

Projecting future climate change is important for implementing the 2015 Paris Agreement, which aims to limit greenhouse gas emissions to a level that would keep the global average temperature increase to 2100 below 2 °C. The Intergovernmental Panel on Climate Change uses emissions scenarios for projecting climate change, but since 2017, an alternative fully statistical Bayesian probabilistic approach has been developed. Both approaches rely on an equation that expresses emissions as the product of population, Gross Domestic Product (GDP) per capita, and carbon intensity, namely carbon emissions per unit of GDP. Here, we use data on these quantities for 2015-2024 to probabilistically assess the changes in climate change prospects associated with post-Paris emissions. These show that carbon intensity declined (i.e., improved) substantially over that period, but that overall carbon emissions rose, due to the rapid rise in world GDP, which more than canceled out the progress made. We found that the projected temperature increase to 2100 declined only slightly, from 2.6° C to 2.4 °C. Meanwhile, the chance of staying below 2 °C remained low, at 17%. However, the chance of the most catastrophic climate change, above 3 °C, has gone down substantially, from 26% to 9%.

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Publication Details

Journal
Communications Earth & Environment
Published
2025-10-17
DOI
https://doi.org/10.1038/s43247-025-02743-x
Citations
4
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
12.52

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article

Mitigation efforts to reduce carbon dioxide emissions and meet the Paris Agreement have been offset by economic growth

Adrian E. Raftery, Sherry Shi, Jiajun Jiang
4 citations
Communications Earth & Environment
Climate Change Policy and Economics
12.52
article

Mitigation efforts to reduce carbon dioxide emissions and meet the Paris Agreement have been offset by economic growth

Adrian E. Raftery, Sherry Shi, Jiajun Jiang
article en
4 citations

Abstract

Projecting future climate change is important for implementing the 2015 Paris Agreement, which aims to limit greenhouse gas emissions to a level that would keep the global average temperature increase to 2100 below 2 °C. The Intergovernmental Panel on Climate Change uses emissions scenarios for projecting climate change, but since 2017, an alternative fully statistical Bayesian probabilistic approach has been developed. Both approaches rely on an equation that expresses emissions as the product of population, Gross Domestic Product (GDP) per capita, and carbon intensity, namely carbon emissions per unit of GDP. Here, we use data on these quantities for 2015-2024 to probabilistically assess the changes in climate change prospects associated with post-Paris emissions. These show that carbon intensity declined (i.e., improved) substantially over that period, but that overall carbon emissions rose, due to the rapid rise in world GDP, which more than canceled out the progress made. We found that the projected temperature increase to 2100 declined only slightly, from 2.6° C to 2.4 °C. Meanwhile, the chance of staying below 2 °C remained low, at 17%. However, the chance of the most catastrophic climate change, above 3 °C, has gone down substantially, from 26% to 9%.

Communications Earth & EnvironmentVol. 6(1)
University of Washington (US), Seattle University (US)
National Institutes of Health
Openalex Percentile: Top 2%
Climate Change Policy and Economics
12.52
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