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Cited by 302

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Climate negotiations under scientific uncertainty

Open access
Barrett, Scott, Dannenberg, Astrid·2012·Proceedings of the National Academy of Sciences

Abstract

How does uncertainty about “dangerous” climate change affect the prospects for international cooperation? Climate negotiations usually are depicted as a prisoners’ dilemma game; collectively, countries are better off reducing their emissions, but self-interest impels them to keep on emitting. We provide experimental evidence, grounded in an analytical framework, showing that the fear of crossing a dangerous threshold can turn climate negotiations into a coordination game, making collective action to avoid a dangerous threshold virtually assured. These results are robust to uncertainty about the impact of crossing a threshold, but uncertainty about the location of the threshold turns the game back into a prisoners’ dilemma, causing cooperation to collapse. Our research explains the paradox of why countries would agree to a collective goal, aimed at reducing the risk of catastrophe, but act as if they were blind to this risk.

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Crossref · 10.1073/pnas.1208417109

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Metadata

Authors
Barrett, S., & Dannenberg, A.
Venue
Proceedings of the National Academy of Sciences
Published
2012-10-08
Volume
109
Issue
43
Pages
17372-17376
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2039656410
Cited by
302
References
4
FWCI
51.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Climate negotiations under scientific uncertainty. https://app.cochat.ai/papers/10.1073/pnas.1208417109
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Barrett, S., & Dannenberg, A. (2012). Climate negotiations under scientific uncertainty. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1208417109

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.