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The 2008 WITCH Model: New Model Features and Baseline

  • Enrica De Cian

    (Fondazione Eni Enrico Mattei)

  • Valentina Bosetti

    (Fondazione Eni Enrico Mattei, PEI Princeton University and CMCC)

  • Alessandra Sgobbi

    (Fondazione Eni Enrico Mattei and European Commission)

  • Massimo Tavoni

    (Fondazione Eni Enrico Mattei, PEI Princeton University and CMCC)

WITCH is an energy-economy-climate model developed by the climate change group at FEEM. The model has been extensively used in the past 3 years for the economic analysis of climate change policies. WITCH is a hybrid top-down economic model with a representation of the energy sector of medium complexity. Two distinguishing features of the WITCH model are the representation of endogenous technological change and the game–theoretic set-up. Technological change is driven by innovation and diffusion processes, both of which feature international spillovers. World countries are grouped in 12 regions which interact with each other in a setting of strategic interdependence. This paper describes the updating of the base year data to 2005 and some new features: the inclusion of non-CO2 greenhouse gases and abatement options, the new specification of low carbon technologies and the inclusion of reducing emissions from deforestation and degradation.

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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2009.85.

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Date of creation: Oct 2009
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Handle: RePEc:fem:femwpa:2009.85
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  1. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  2. Valentina Bosetti & David Tomberlin, 2004. "Fondazione Eni Enrico Mattei," Working Papers 2004.102, Fondazione Eni Enrico Mattei.
  3. Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
  4. Valentina Bosetti, Carlo Carraro, Marzio Galeotti, Emanuele Massetti, Massimo Tavoni, 2006. "A World induced Technical Change Hybrid Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 13-38.
  5. Valentina Bosetti & Carlo Carraro & Emanuele Massetti, 2007. "International Energy R&D Spillovers and the Economics of Greenhouse Gas Atmospheric Stabilization," Working Papers 2007_11, Department of Economics, University of Venice "Ca' Foscari".
  6. Valentina Bosetti & Ruben Lubowski & Alexander Golub & Anil Markandya, 2010. "Linking Reduced Deforestation and a Global Carbon Market: Impacts on Costs, Financial Flows, and Technological Innovation," Working Papers 2009-01, BC3.
  7. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
  8. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
  9. Massimo Tavoni & Valentina Bosetti & Brent Sohngen, 2007. "Forestry and the Carbon Market Response to Stabilize Climate," Working Papers 2007.15, Fondazione Eni Enrico Mattei.
  10. Patrik Söderholm & Ger Klaassen, 2007. "Wind Power in Europe: A Simultaneous Innovation–Diffusion Model," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 36(2), pages 163-190, February.
  11. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
  12. Nemet, Gregory F. & Kammen, Daniel M., 2007. "U.S. energy research and development: Declining investment, increasing need, and the feasibility of expansion," Energy Policy, Elsevier, vol. 35(1), pages 746-755, January.
  13. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
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