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Effects of the Uncertainty about Global Economic Recovery on Energy Transition and CO2 Price

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  • Olivier Durand-Lasserve
  • Axel Pierru
  • Yves Smeers

Abstract

This paper examines the impact that uncertainty over economic growth may have on global energy transition and CO2 prices. We use a general-equilibrium model derived from MERGE, and define several stochastic scenarios for economic growth. Each scenario is characterized by the likelihood of a rapid global economic recovery. More precisely, during each decade, global economy may - with a given probability - shift from the EIA's (2010) low-economic-growth path to the EIA's (2010) high-economic-growth path. The climate policy considered corresponds in the medium term to the commitments announced after the Copenhagen conference, and in the long term to a reduction of 25% in global energy-related CO2 emissions (with respect to 2005). For the prices of CO2 and electricity, as well as for the implementation of CCS, the branches of the resulting stochastic trajectories appear to be heavily influenced by agents’ initial expectations of future economic growth and by the economic growth actually realized. Thus, in 2040, the global price of CO2 may range from $21 (when an initially-anticipated economic recovery never occurs) to $128 (in case of non-anticipated rapid economic recovery). In addition, we show that within each region, the model internalizes the constraints limiting the expansion of each power-generation technology through the price paid by the power utility for the acquisition of new production capacity. As a result, in China, the curves of endogenous investment costs for onshore and offshore wind are all bubble-shaped centered on 2025, a date which corresponds to the establishment of a global CO2 cap-and-trade market in the model.

Suggested Citation

  • Olivier Durand-Lasserve & Axel Pierru & Yves Smeers, 2011. "Effects of the Uncertainty about Global Economic Recovery on Energy Transition and CO2 Price," Working Papers 1105, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
  • Handle: RePEc:mee:wpaper:1105
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    1. Scott, Michael J. & Sands, Ronald D. & Edmonds, Jae & Liebetrau, Albert M. & Engel, David W., 1999. "Uncertainty in integrated assessment models: modeling with MiniCAM 1.0," Energy Policy, Elsevier, vol. 27(14), pages 855-879, December.
    2. Carlo Carraro & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2008. "Delayed Action and Uncertain Targets. How Much Will Climate Policy Cost?," Working Papers 2008_27, Department of Economics, University of Venice "Ca' Foscari".
    3. Durand-Lasserve, Olivier & Pierru, Axel & Smeers, Yves, 2010. "Uncertain long-run emissions targets, CO2 price and global energy transition: A general equilibrium approach," Energy Policy, Elsevier, vol. 38(9), pages 5108-5122, September.
    4. Jacoby, Henry D. & Reilly, John M. & McFarland, James R. & Paltsev, Sergey, 2006. "Technology and technical change in the MIT EPPA model," Energy Economics, Elsevier, vol. 28(5-6), pages 610-631, November.
    5. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    6. Philippe Aghion & Peter Howitt, 2009. "The Economics of Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012634, April.
    7. Jonathan Kohler, Michael Grubb, David Popp and Ottmar Edenhofer, 2006. "The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 17-56.
    8. Alan Manne & Richard Richels, 1995. "The Greenhouse Debate: Economic Efficiency, Burden Sharing and Hedging Strategies," The Energy Journal, , vol. 16(4), pages 1-37, October.
    9. Bosetti, Valentina & Tavoni, Massimo, 2009. "Uncertain R&D, backstop technology and GHGs stabilization," Energy Economics, Elsevier, vol. 31(Supplemen), pages 18-26.
    10. Rafaj, Peter & Kypreos, Socrates, 2007. "Internalisation of external cost in the power generation sector: Analysis with Global Multi-regional MARKAL model," Energy Policy, Elsevier, vol. 35(2), pages 828-843, February.
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    Cited by:

    1. GABSZEWICZ, Jean & TAROLA, Ornella, 2011. "Migration, wage differentials and fiscal competition," LIDAM Discussion Papers CORE 2011065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    3. Durand-Lasserve, Olivier & Pierru, Axel, 2021. "Modeling world oil market questions: An economic perspective," Energy Policy, Elsevier, vol. 159(C).
    4. DEVOLDER, Olivier, 2011. "Stochastic first order methods in smooth convex optimization," LIDAM Discussion Papers CORE 2011070, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.

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    More about this item

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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