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Comprehensive evidence implies a higher social cost of CO2.
Rennert, Kevin; Errickson, Frank; Prest, Brian C; Rennels, Lisa; Newell, Richard G; Pizer, William; Kingdon, Cora; Wingenroth, Jordan; Cooke, Roger; Parthum, Bryan; Smith, David; Cromar, Kevin; Diaz, Delavane; Moore, Frances C; Müller, Ulrich K; Plevin, Richard J; Raftery, Adrian E; Sevcíková, Hana; Sheets, Hannah; Stock, James H; Tan, Tammy; Watson, Mark; Wong, Tony E; Anthoff, David.
Afiliación
  • Rennert K; Resources for the Future, Washington, DC, USA.
  • Errickson F; School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
  • Prest BC; Resources for the Future, Washington, DC, USA.
  • Rennels L; Energy and Resources Group, University of California, Berkeley, CA, USA.
  • Newell RG; Resources for the Future, Washington, DC, USA.
  • Pizer W; Resources for the Future, Washington, DC, USA.
  • Kingdon C; Energy and Resources Group, University of California, Berkeley, CA, USA.
  • Wingenroth J; Resources for the Future, Washington, DC, USA.
  • Cooke R; Resources for the Future, Washington, DC, USA.
  • Parthum B; Environmental Protection Agency, Washington, DC, USA.
  • Smith D; Environmental Protection Agency, Washington, DC, USA.
  • Cromar K; Marron Institute of Urban Management, New York University, Brooklyn, NY, USA.
  • Diaz D; NYU Grossman School of Medicine, New York, NY, USA.
  • Moore FC; EPRI, Palo Alto, CA, USA.
  • Müller UK; Department of Environmental Science and Policy, University of California, Davis, CA, USA.
  • Plevin RJ; Department of Economics, Princeton University, Princeton, NJ, USA.
  • Raftery AE; Independent researcher, Portland, OR, USA.
  • Sevcíková H; Departments of Statistics and Sociology, University of Washington, Seattle, WA, USA.
  • Sheets H; Center for Statistics and the Social Sciences, University of Washington, Seattle, WA, USA.
  • Stock JH; School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA.
  • Tan T; Department of Economics, Harvard University, Cambridge, MA, USA.
  • Watson M; Environmental Protection Agency, Washington, DC, USA.
  • Wong TE; Department of Economics, Princeton University, Princeton, NJ, USA.
  • Anthoff D; School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA.
Nature ; 610(7933): 687-692, 2022 10.
Article en En | MEDLINE | ID: mdl-36049503
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Dióxido de Carbono / Modelos Climáticos Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Dióxido de Carbono / Modelos Climáticos Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido