Comprehensive evidence implies a higher social cost of CO2 .

Journal Article (Journal Article)

The social cost of carbon dioxide (SC-CO2 ) measures the monetized value of the damages to society caused by an incremental metric tonne of CO2 emissions and is a key metric informing climate policy. Used by governments and other decision-makers in benefit-cost analysis for over a decade, SC-CO2 estimates draw on climate science, economics, demography and other disciplines. However, a 2017 report by the US National Academies of Sciences, Engineering, and Medicine1 (NASEM) highlighted that current SC-CO2 estimates no longer reflect the latest research. The report provided a series of recommendations for improving the scientific basis, transparency and uncertainty characterization of SC-CO2 estimates. Here we show that improved probabilistic socioeconomic projections, climate models, damage functions, and discounting methods that collectively reflect theoretically consistent valuation of risk, substantially increase estimates of the SC-CO2 . Our preferred mean SC-CO2 estimate is $185 per tonne of CO2 ($44-$413 per tCO2 : 5%-95% range, 2020 US dollars) at a near-term risk-free discount rate of 2%, a value 3.6 times higher than the US government's current value of $51 per tCO2 . Our estimates incorporate updated scientific understanding throughout all components of SC-CO2 estimation in the new open-source Greenhouse Gas Impact Value Estimator (GIVE) model, in a manner fully responsive to the near-term NASEM recommendations. Our higher SC-CO2 values, compared with estimates currently used in policy evaluation, substantially increase the estimated benefits of greenhouse gas mitigation and thereby increase the expected net benefits of more stringent climate policies.

Full Text

Duke Authors

Cited Authors

  • Rennert, K; Errickson, F; Prest, BC; Rennels, L; Newell, RG; Pizer, W; Kingdon, C; Wingenroth, J; Cooke, R; Parthum, B; Smith, D; Cromar, K; Diaz, D; Moore, FC; Müller, UK; Plevin, RJ; Raftery, AE; Ševčíková, H; Sheets, H; Stock, JH; Tan, T; Watson, M; Wong, TE; Anthoff, D

Published Date

  • October 2022

Published In

Volume / Issue

  • 610 / 7933

Start / End Page

  • 687 - 692

PubMed ID

  • 36049503

Pubmed Central ID

  • PMC9605864

Electronic International Standard Serial Number (EISSN)

  • 1476-4687

International Standard Serial Number (ISSN)

  • 0028-0836

Digital Object Identifier (DOI)

  • 10.1038/s41586-022-05224-9


  • eng