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Supply of renewable energy sources and the cost of EU climate policy

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  • Stefan Boeters

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  • J. Koornneef

Abstract

What are the excess costs of a separate 20% target for renewable energy as a part of the EU climate policy for 2020? We answer this question using a computable general equilibrium model, WorldScan, which has been extended with a bottom-up module of the electricity sector. The model set-up makes it possible to directly use available estimates of costs and capacity potentials for renewable energy sources for calibration. In our base case simulation, the costs of EU climate policy with the renewables target are 6% higher than those of a policy without this target. As information on the supply of renewable energy is scarce and uncertain, we perform an extensive sensitivity analysis with respect to the level and steepness of the supply curves for wind energy and biomass. In the range we explore, the excess costs vary from zero (when the target is not binding) to 23% (when the cost progression and the initial cost disadvantage for renewables are doubled).

Suggested Citation

  • Stefan Boeters & J. Koornneef, 2010. "Supply of renewable energy sources and the cost of EU climate policy," CPB Discussion Paper 142, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:discus:142
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    References listed on IDEAS

    as
    1. Stefan Boeters & Ton Manders & Gerard Verweij & M.G.J. den Elzen & Veenendaal. P.J.J., 2007. "Post-2012 climate policy scenarios," CPB Special Publication 70, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Jc Hourcade & M. Jaccard & C. Bataille & F Ghersi, 2006. "Hybrid modeling: New answers to old challenges - Introduction to the special issue of The Energy Journal," Post-Print hal-00716778, HAL.
    3. R. G. Lipsey & Kelvin Lancaster, 1956. "The General Theory of Second Best," Review of Economic Studies, Oxford University Press, vol. 24(1), pages 11-32.
    4. Doukas, Haris & Mannsbart, Wilhelm & Patlitzianas, Konstantinos D. & Psarras, John & Ragwitz, Mario & Schlomann, Barbara, 2007. "A methodology for validating the renewable energy data in EU," Renewable Energy, Elsevier, vol. 32(12), pages 1981-1998.
    5. Schumacher, Katja & Sands, Ronald D., 2007. "Where are the industrial technologies in energy-economy models? An innovative CGE approach for steel production in Germany," Energy Economics, Elsevier, vol. 29(4), pages 799-825, July.
    6. McFarland, J. R. & Reilly, J. M. & Herzog, H. J., 2004. "Representing energy technologies in top-down economic models using bottom-up information," Energy Economics, Elsevier, vol. 26(4), pages 685-707, July.
    7. Resch, Gustav & Held, Anne & Faber, Thomas & Panzer, Christian & Toro, Felipe & Haas, Reinhard, 2008. "Potentials and prospects for renewable energies at global scale," Energy Policy, Elsevier, vol. 36(11), pages 4048-4056, November.
    8. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
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    More about this item

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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