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From the Copenhagen Accord to efficient technology protocols

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  • Kypreos, Socrates

Abstract

As the Copenhagen Conference of Parties (COP) failed to negotiate a binding Post-Kyoto agreement, an alternative is proposed based on the Copenhagen Accord (CA). The CA, as endorsed by COP16 in Cancun, aims to combat global warming with differentiated reduction targets of greenhouse gas emissions and by mobilizing resources supporting adaptation and carbon-free technology in developing countries (DCs). Using a special version of MERGE, we study the global implications of the CA postulating extensions of the Accord in the direction of Technology Transfer Protocols (TTPs). We assess scenarios needed to reach sustainable climate targets under such Protocols. It is shown that without binding commitments for DCs, the warming target of 2°C will be exceeded with a probability above 50%, even if Annex B countries eliminate their emissions. However, moderate commitments of DCs (when they reach sufficient economic development), make the 2°C scenario feasible. TTPs combined with binding emission reduction targets thus provide a mechanism to reduce climate change damages, and may generate significant secondary benefits. For example, the reduced tax-subsidy scenario (RTS20) has 77% to 40% chances to remain below 2°C of warming and an undiscounted cumulative gross domestic product (GDP) cost of 0.75% relative to baseline (not accounting for the benefits of avoided damages).

Suggested Citation

  • Kypreos, Socrates, 2012. "From the Copenhagen Accord to efficient technology protocols," Energy Policy, Elsevier, vol. 44(C), pages 341-353.
  • Handle: RePEc:eee:enepol:v:44:y:2012:i:c:p:341-353
    DOI: 10.1016/j.enpol.2012.01.063
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    References listed on IDEAS

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    1. Kypreos, Socrates, 2007. "A MERGE model with endogenous technological change and the cost of carbon stabilization," Energy Policy, Elsevier, vol. 35(11), pages 5327-5336, November.
    2. Bertrand Magne, Socrates Kypreos, and Hal Turton, 2010. "Technology Options for Low Stabilization Pathways with MERGE," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    3. Yang, Zili & Nordhaus, William D., 2006. "Magnitude and direction of technological transfers for mitigating GHG emissions," Energy Economics, Elsevier, vol. 28(5-6), pages 730-741, November.
    4. Kypreos, Socrates & Turton, Hal, 2011. "Climate change scenarios and Technology Transfer Protocols," Energy Policy, Elsevier, vol. 39(2), pages 844-853, February.
    5. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
    6. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    7. Manne, Alan & Richels, Richard, 2004. "The impact of learning-by-doing on the timing and costs of CO2 abatement," Energy Economics, Elsevier, vol. 26(4), pages 603-619, July.
    8. Kypreos, Socrates, 2005. "Modeling experience curves in MERGE (model for evaluating regional and global effects)," Energy, Elsevier, vol. 30(14), pages 2721-2737.
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