Author
Listed:
- Ronsain, Antoine
- Gondran, Alexandre
- Malavolti, Estelle
Abstract
The DICE model claims that technological progress can prevent global warming at low cost. However, its conclusions are predicated on highly optimistic and contested assumptions regarding the costs and effectiveness of backstop technologies, as well as the magnitude of climate damages. This study assesses the robustness of the DICE model’s recommendations by exploring their sensitivity to these core assumptions. We investigate scenarios where assumptions prove to be more pessimistic than DICE standard baseline. We employ a large-scale scenario-based analysis to account for the possible range of the climate damage function and the level of efficiency of future backstop technologies, as well as their financial costs. Our results demonstrate that relying on technology alone is a very risky bet; under a wide spectrum of plausible, less optimistic assumptions, 84 % of scenarios lead to a climate-induced economic collapse. To address this fragility, we introduce a social lever into the model: economic sufficiency, defined as the policy option to produce less than the maximum production capacity. The inclusion of this lever dramatically alters the outcomes if the social-planner is enough forward looking. Our study concludes that relying on purely technological solutions is a hazardous strategy under uncertainty and that a dual strategy, combining both technological and social levers, is required to reduce the risk of climate collapse.
Suggested Citation
Ronsain, Antoine & Gondran, Alexandre & Malavolti, Estelle, 2026.
"Humanity does not play DICE: A sensitivity analysis of technical progress,"
Ecological Economics, Elsevier, vol. 249(C).
Handle:
RePEc:eee:ecolec:v:249:y:2026:i:c:s0921800926001746
DOI: 10.1016/j.ecolecon.2026.109089
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolec:v:249:y:2026:i:c:s0921800926001746. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.