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Trade-offs between mitigation costs and temperature change

Author

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  • Geoffrey Blanford
  • James Merrick
  • Richard Richels
  • Steven Rose

Abstract

This paper uses the MERGE integrated assessment model to identify the least-cost mitigation strategy for achieving a range of climate policies. Mitigation is measured in terms of GDP foregone. This is not a benefit-cost analysis. No attempt is made to calculate the reduction in damages brought about by a particular policy. Assumptions are varied regarding the availability of energy-producing and energy-using technologies. We find pathways with substantial reductions in temperature change, with the cost of reductions varying significantly, depending on policy and technology assumptions. The set of scenarios elucidates the potential energy system transformation demands that could be placed on society. We find that policy that allows for “overshoot” of a radiative forcing target during the century results in lower costs, but also a higher temperature at the end of the century. We explore the implications of the costs and availability of key mitigation technologies, including carbon capture and storage (CCS), bioenergy, and their combination, known as BECS, as well as nuclear and energy efficiency. The role of “negative emissions” via BECS in particular is examined. Finally, we demonstrate the implications of nationally adopted emissions timetables based on articulated goals as a counterpoint to a global stabilization approach. Copyright The Author(s) 2014

Suggested Citation

  • Geoffrey Blanford & James Merrick & Richard Richels & Steven Rose, 2014. "Trade-offs between mitigation costs and temperature change," Climatic Change, Springer, vol. 123(3), pages 527-541, April.
  • Handle: RePEc:spr:climat:v:123:y:2014:i:3:p:527-541
    DOI: 10.1007/s10584-013-0869-2
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    Cited by:

    1. Carraro, Carlo & Aldy, Joseph & Pizer, William A. & Akimoto, Keigo & Tavoni, Massimo & Aleluia Reis, Lara, 2018. "Learning from Nationally Determined Contributions," CEPR Discussion Papers 12757, C.E.P.R. Discussion Papers.
    2. Shiran Victoria Shen, 2021. "Integrating Political Science into Climate Modeling: An Example of Internalizing the Costs of Climate-Induced Violence in the Optimal Management of the Climate," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    3. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
    4. Favero, Alice & Mendelsohn, Robert & Sohngen, Brent, 2016. "Carbon Storage and Bioenergy: Using Forests for Climate Mitigation," MITP: Mitigation, Innovation and Transformation Pathways 232215, Fondazione Eni Enrico Mattei (FEEM).
    5. Craxton, Melanie & Merrick, James & Makridis, Christos & Taggart, John, 2017. "On the climate policy implications of substitutability and flexibility in the economy: An in-depth integrated assessment model diagnostic," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 289-298.
    6. Joseph Aldy & William Pizer & Massimo Tavoni & Lara Aleluia Reis & Keigo Akimoto & Geoffrey Blanford & Carlo Carraro & Leon E. Clarke & James Edmonds & Gokul C. Iyer & Haewon C. McJeon & Richard Riche, 2016. "Economic tools to promote transparency and comparability in the Paris Agreement," Nature Climate Change, Nature, vol. 6(11), pages 1000-1004, November.
    7. Wang, Delu & Mao, Jinqi & Shi, Xunpeng & Li, Chunxiao & Chen, Fan, 2024. "A planning model for coal power exit scales based on minimizing idle and shortage losses: A case study of China," Energy Economics, Elsevier, vol. 138(C).
    8. Bas J. van Ruijven, 2016. "Mind the gap – the case for medium level emission scenarios," Climatic Change, Springer, vol. 138(3), pages 361-367, October.

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