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Uncertain long-run emission targets, CO2 price and global energy transition: a general equilibrium approach

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  • DURAND-LASSERVE, Olivier
  • PIERRU, Axel
  • SMEERS, Yves
Abstract
The persistent uncertainty about mid-century CO2 emissions targets is likely to affect not only the technological choices that energy-producing firms will make in the future but also their current invest- ment decisions. We illustrate this effect on CO2 price and global energy transition within a MERGE-type general-equilibrium model framework, by considering simple stochastic CO2 policy scenarios. In these scenarios, economic agents know that credible long-run CO2 emissions targets will be set in 2020, with two possible outcomes: either a ”hard cap” or a ”soft cap”. Each scenario is characterized by the relative probabilities of both possible caps. We derive consistent stochastic trajectories - with two branches after 2020 - for prices and quantities of energy commodities and CO2 emissions permits. The impact of uncertain long-run CO2 emissions targets on prices and technological trajectories is discussed. In addition, a simple marginal approach allows us to analyze the Hotelling rule with risk premia observed for certain scenarios
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • DURAND-LASSERVE, Olivier & PIERRU, Axel & SMEERS, Yves, 2010. "Uncertain long-run emission targets, CO2 price and global energy transition: a general equilibrium approach," LIDAM Reprints CORE 2275, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2275
    DOI: 10.1016/j.enpol.2010.04.041
    Note: In : Energy Policy, 38(9), 5108-5122, 2010
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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    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. Richard G. Richels & Thomas F. Rutherford & Geoffrey J. Blanford & Leon Clarke, 2007. "Managing the transition to climate stabilization," Climate Policy, Taylor & Francis Journals, vol. 7(5), pages 409-428, September.
    4. 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.
    5. Robert S. Pindyck, 2006. "Uncertainty In Environmental Economics," NBER Working Papers 12752, National Bureau of Economic Research, Inc.
    6. Lau, Morten I. & Pahlke, Andreas & Rutherford, Thomas F., 2002. "Approximating infinite-horizon models in a complementarity format: A primer in dynamic general equilibrium analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 26(4), pages 577-609, April.
    7. Löschel, Andreas & Otto, Vincent M., 2009. "Technological uncertainty and cost effectiveness of CO2 emission reduction," Energy Economics, Elsevier, vol. 31(Supplemen), pages 4-17.
    8. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    9. Victor Ginsburgh & Michiel Keyzer, 2002. "The Structure of Applied General Equilibrium Models," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571579, April.
    10. Maryse Labriet & Richard Loulou & Amit Kanudia, 2009. "Modeling Uncertainty in a Large scale integrated Energy-Climate Model," International Series in Operations Research & Management Science, in: Jerzy A. Filar & Alain Haurie (ed.), Uncertainty and Environmental Decision Making, chapter 0, pages 51-77, Springer.
    11. Bosetti, Valentina & Tavoni, Massimo, 2009. "Uncertain R&D, backstop technology and GHGs stabilization," Energy Economics, Elsevier, vol. 31(Supplemen), pages 18-26.
    12. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "A World Induced Technical Change Hybrid Model," The Energy Journal, , vol. 27(2_suppl), pages 13-37, June.
    13. 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.
    14. Alan Manne & Richard Richels, 1992. "Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits," MIT Press Books, The MIT Press, edition 1, volume 1, number 026213280x, April.
    15. Manne, Alan S, 1970. "Sufficient Conditions for Optimality in an Infinite Horizon Development Plan," Econometrica, Econometric Society, vol. 38(1), pages 18-38, January.
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    Cited by:

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    2. 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.
    3. Bistline, John E., 2015. "Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US," Energy Economics, Elsevier, vol. 51(C), pages 236-251.
    4. Axel Pierru and Walid Matar, 2014. "The Impact of Oil Price Volatility on Welfare in the Kingdom of Saudi Arabia: Implications for Public Investment Decision-making," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    5. Aude Pommeret & Katheline Schubert, 2018. "Intertemporal Emission Permits Trading Under Uncertainty and Irreversibility," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 73-97, September.
    6. J. Szolgayová & S. Fuss & T. Kaminski & M. Scholze & M. Gusti & M. Heimann & M. Tavoni, 2016. "The benefits of investing into improved carbon flux monitoring," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1239672-123, December.
    7. Locatelli, Giorgio & Mancini, Mauro, 2010. "Small-medium sized nuclear coal and gas power plant: A probabilistic analysis of their financial performances and influence of CO2 cost," Energy Policy, Elsevier, vol. 38(10), pages 6360-6374, October.
    8. Erin Baker & Olaitan Olaleye & Lara Aleluia Reis, 2015. "Decision Frameworks and the Investment in R&D," Working Papers 2015.42, Fondazione Eni Enrico Mattei.
    9. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    10. Baker, Erin & Olaleye, Olaitan & Aleluia Reis, Lara, 2015. "Decision frameworks and the investment in R&D," Energy Policy, Elsevier, vol. 80(C), pages 275-285.
    11. Tarek Atallah & Jorge Blazquez, 2015. "Quantifying the impact of coal on global economic growth and energy productivity in the early 21st century," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 93-106.
    12. Alshammari, Yousef M., 2021. "Scenario analysis for energy transition in the chemical industry: An industrial case study in Saudi Arabia," Energy Policy, Elsevier, vol. 150(C).
    13. Durand-Lasserve, Olivier & Pierru, Axel, 2021. "Modeling world oil market questions: An economic perspective," Energy Policy, Elsevier, vol. 159(C).
    14. Arie ten Cate, 2012. "The socially optimal energy transition in a residential neighbourhood in the Netherlands," CPB Discussion Paper 222, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Arie ten Cate, 2012. "The socially optimal energy transition in a residential neighbourhood in the Netherlands," CPB Discussion Paper 222.rdf, CPB Netherlands Bureau for Economic Policy Analysis.

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    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • 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
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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