The DOI matches its Crossref record.
Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies
Open accessAbstract
Climate change remains one of the major international environmental challenges facing nations. Up to now, nations have adopted minimal policies to slow climate change. Moreover, there has been no major improvement in emissions trends as of the latest data. The current study uses the updated DICE model to develop new projections of trends and impacts of alternative climate policies. It also presents a new set of estimates of the uncertainties about future climate change and compares the results with those of other integrated assessment models. The study confirms past estimates of likely rapid climate change over the next century if major climate-change policies are not taken. It suggests that it is unlikely that nations can achieve the 2°C target of international agreements, even if ambitious policies are introduced in the near term. The required carbon price needed to achieve current targets has risen over time as policies have been delayed. (JEL Q54, Q58)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The COVID-19 pandemic and the $16 trillion virus
Cutler, D. M., & Summers, L. H. (2020) · JAMA · doi:10.1001/jama.2020.19759 · Cited by 810
Pricing Uncertainty Induced by Climate Change
Barnett, M., Brock, W., & Hansen, L. P. (2020) · The Review of Financial Studies · doi:10.1093/rfs/hhz144 · Cited by 467
Carbon Pricing: Effectiveness and Equity
Boyce, J. K. (2018) · Ecological Economics · doi:10.1016/j.ecolecon.2018.03.030 · Cited by 298
Dorband, I. I., Jakob, M., Kalkuhl, M., & Steckel, J. C. (2019) · World Development · doi:10.1016/j.worlddev.2018.11.015 · Cited by 283
Lomborg, B. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.119981 · Cited by 134
Metadata
- Authors
- Nordhaus, W.
- Venue
- American Economic Journal: Economic Policy
- Publisher
- American Economic Association
- Published
- 2018-08-01
- Volume
- 10
- Issue
- 3
- Pages
- 333-360
- ISSN
- 1945-7731 (ISSN-L)
- 1945-774X
- OpenAlex
- W2580433265
- Cited by
- 433
- References
- 0
- FWCI
- 65.83
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies. https://app.cochat.ai/papers/10.1257/pol.20170046
- The paper
- Nordhaus, W. (2018). Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies. American Economic Journal: Economic Policy. https://doi.org/10.1257/pol.20170046
Data sources
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.