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Equity is more important for the social cost of methane than climate uncertainty

Author

Listed:
  • Frank C. Errickson

    (Princeton University
    University of California Berkeley)

  • Klaus Keller

    (The Pennsylvania State University
    The Pennsylvania State University)

  • William D. Collins

    (Lawrence Berkeley National Laboratory
    University of California Berkeley)

  • Vivek Srikrishnan

    (The Pennsylvania State University
    Cornell University)

  • David Anthoff

    (University of California Berkeley)

Abstract

The social cost of methane (SC-CH4) measures the economic loss of welfare caused by emitting one tonne of methane into the atmosphere. This valuation may in turn be used in cost–benefit analyses or to inform climate policies1–3. However, current SC-CH4 estimates have not included key scientific findings and observational constraints. Here we estimate the SC-CH4 by incorporating the recent upward revision of 25 per cent to calculations of the radiative forcing of methane4, combined with calibrated reduced-form global climate models and an ensemble of integrated assessment models (IAMs). Our multi-model mean estimate for the SC-CH4 is US$933 per tonne of CH4 (5–95 per cent range, US$471–1,570 per tonne of CH4) under a high-emissions scenario (Representative Concentration Pathway (RCP) 8.5), a 22 per cent decrease compared to estimates based on the climate uncertainty framework used by the US federal government5. Our ninety-fifth percentile estimate is 51 per cent lower than the corresponding figure from the US framework. Under a low-emissions scenario (RCP 2.6), our multi-model mean decreases to US$710 per tonne of CH4. Tightened equilibrium climate sensitivity estimates paired with the effect of previously neglected relationships between uncertain parameters of the climate model lower these estimates. We also show that our SC-CH4 estimates are sensitive to model combinations; for example, within one IAM, different methane cycle sub-models can induce variations of approximately 20 per cent in the estimated SC-CH4. But switching IAMs can more than double the estimated SC-CH4. Extending our results to account for societal concerns about equity produces SC-CH4 estimates that differ by more than an order of magnitude between low- and high-income regions. Our central equity-weighted estimate for the USA increases to US$8,290 per tonne of CH4 whereas our estimate for sub-Saharan Africa decreases to US$134 per tonne of CH4.

Suggested Citation

  • Frank C. Errickson & Klaus Keller & William D. Collins & Vivek Srikrishnan & David Anthoff, 2021. "Equity is more important for the social cost of methane than climate uncertainty," Nature, Nature, vol. 592(7855), pages 564-570, April.
  • Handle: RePEc:nat:nature:v:592:y:2021:i:7855:d:10.1038_s41586-021-03386-6
    DOI: 10.1038/s41586-021-03386-6
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    Cited by:

    1. Weiwei Xiong & Katsumasa Tanaka & Philippe Ciais & Daniel J. A. Johansson & Mariliis Lehtveer, 2022. "emIAM v1.0: an emulator for Integrated Assessment Models using marginal abatement cost curves," Papers 2212.12060, arXiv.org.
    2. Xueke Li & Amanda H. Lynch, 2023. "New insights into projected Arctic sea road: operational risks, economic values, and policy implications," Climatic Change, Springer, vol. 176(4), pages 1-16, April.
    3. Rennert, Kevin & Prest, Brian C. & Pizer, William & Newell, Richard G. & Anthoff, David & Kingdon, Cora & Rennels, Lisa & Cooke, Roger & Raftery, Adrian E. & Ševčíková, Hana & Errickson, Frank, 2021. "The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates," RFF Working Paper Series 21-28, Resources for the Future.
    4. Christian Azar & Jorge García Martín & Daniel JA. Johansson & Thomas Sterner, 2023. "The social cost of methane," Climatic Change, Springer, vol. 176(6), pages 1-22, June.
    5. De Silva, Lihini & Taylor, Rebecca, 2021. "If you build it, they will compost: The effects of municipal composting services on household waste generation," 2021 Annual Meeting, August 1-3, Austin, Texas 313874, Agricultural and Applied Economics Association.

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