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Mitigation Strategies and Costs of Climate Protection: The effects of ETC in the hybrid Model MIND

Author

Listed:
  • Kai Lessmann

    (Potsdam Institute for Climate Impact Research (PIK))

  • Ottmar Edenhofer

    (Potsdam Institute for Climate Impact Research)

  • Nico Bauer

    (Paul ScherrerInstitute (PSI))

Abstract

MIND is a hybrid model incorporating several energy related sectors in an endogenous growth model of the world economy. This model structure allows a better understanding of the linkages between the energy sectors and the macro-economic environment. We perform a sensitivity analysis and parameter studies to improve the understanding of the economic mechanisms underlying opportunity costs and the optimal mix of mitigation options. Parameters representing technological change that permeates the entire economy have a strong impact on both the opportunity costs of climate protection and on the optimal mitigation strategies, e.g. parameters in the macro-economic environment and in the extraction sector. Sector-specific energy technology parameters change the portfolio of mitigation options but have only modest effects on opportunity costs, e.g. learning rate of the renewable energy technologies. We conclude that feedback loops between the macro-economy and the energy sectors are crucial for the determination of opportunity costs and mitigation strategies.

Suggested Citation

  • Kai Lessmann & Ottmar Edenhofer & Nico Bauer, 2005. "Mitigation Strategies and Costs of Climate Protection: The effects of ETC in the hybrid Model MIND," Working Papers 2005.150, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2005.150
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    Cited by:

    1. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    2. Alexander Golub & Oleg Lugovoy & Anil Markandya & Ramon Arigoni Ortiz & James Wang, 2013. "Regional IAM: analysis of risk-adjusted costs and benefits of climate policies," Working Papers 2013-06, BC3.
    3. Guivarch, Céline & Hallegatte, Stéphane & Crassous, Renaud, 2009. "The resilience of the Indian economy to rising oil prices as a validation test for a global energy-environment-economy CGE model," Energy Policy, Elsevier, vol. 37(11), pages 4259-4266, November.
    4. Held, Hermann & Kriegler, Elmar & Lessmann, Kai & Edenhofer, Ottmar, 2009. "Efficient climate policies under technology and climate uncertainty," Energy Economics, Elsevier, vol. 31(Supplemen), pages 50-61.
    5. GRIMAUD André & LAFFORGUE Gilles, 2008. "Second Best Analysis in a General Equilibrium Climate Change Model," LERNA Working Papers 08.11.255, LERNA, University of Toulouse.
    6. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2011. "Climate change mitigation options and directed technical change: A decentralized equilibrium analysis," Resource and Energy Economics, Elsevier, vol. 33(4), pages 938-962.
    7. repec:gam:jeners:v:11:y:2018:i:4:p:839-:d:139527 is not listed on IDEAS
    8. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2008. "Decentralized Equilibrium Analysis in a Growth Model with Directed Technical Change and Climate Change Mitigation," IDEI Working Papers 537, Institut d'Économie Industrielle (IDEI), Toulouse.
    9. Elizabeth Stanton, 2011. "Negishi welfare weights in integrated assessment models: the mathematics of global inequality," Climatic Change, Springer, vol. 107(3), pages 417-432, August.
    10. Martin Junginger & Wilfried van Sark & André Faaij (ed.), 2010. "Technological Learning in the Energy Sector," Books, Edward Elgar Publishing, number 13741.
    11. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    12. repec:wsi:ccexxx:v:08:y:2017:i:02:n:s2010007817500075 is not listed on IDEAS

    More about this item

    Keywords

    Endogenous technological change; Climate change mitigation costs; Integrated assessment; Growth model; Energy sector; Integrated assessment;

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D99 - Microeconomics - - Micro-Based Behavioral Economics - - - Other

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