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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. 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.
    2. 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.
    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. André Grimaud & Gilles Lafforgue, 2008. "Climate change mitigation policies : Are R&D subsidies preferable to a carbon tax ?," Revue d'économie politique, Dalloz, vol. 118(6), pages 915-940.
    5. Graham Palmer, 2018. "A Biophysical Perspective of IPCC Integrated Energy Modelling," Energies, MDPI, vol. 11(4), pages 1-17, April.
    6. Ortiz, Ramon Arigoni & Golub, Alexander & Lugovoy, Oleg & Markandya, Anil & Wang, James, 2011. "DICER: A tool for analyzing climate policies," Energy Economics, Elsevier, vol. 33(S1), pages 41-49.
    7. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2007. "Innovation Markets in the Policy Appraisal of Climate Change Mitigation," IDEI Working Papers 481, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. Marco Rogna, 2020. "Microeconomic models of a production economy with environmental externalities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2625-2650, March.
    9. Grimaud, André & Lafforgue, Gilles, 2008. "Second Best Analysis in a General Equilibrium Climate Change Model," IDEI Working Papers 535, Institut d'Économie Industrielle (IDEI), Toulouse.
    10. 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.
    11. GRIMAUD André & LAFFORGUE Gilles & MAGNE Bertrand, 2007. "Economic growth and Climate change in a decentralized Economy: A Theoretical and Empirical Approach," LERNA Working Papers 07.04.225, LERNA, University of Toulouse.
    12. 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.
    13. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    14. 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.
    15. Mathias Berthod, 2020. "Commitment and efficiency-inducing tax and subsidy scheme in the development of a clean technology," Working Papers hal-02489971, HAL.
    16. 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.
    17. Mathias Berthod, 2020. "Commitment and efficiency-inducing tax and subsidy scheme in the development of a clean technology," CEE-M Working Papers hal-02489971, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    18. Martin Junginger & Wilfried van Sark & André Faaij (ed.), 2010. "Technological Learning in the Energy Sector," Books, Edward Elgar Publishing, number 13741.
    19. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    20. Marie-Catherine Riekhof & Johannes Bröcker, 2017. "Does The Adverse Announcement Effect Of Climate Policy Matter? — A Dynamic General Equilibrium Analysis," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-34, May.

    More about this item

    Keywords

    Endogenous technological change; Climate change mitigation costs; Integrated assessment; Growth model; Energy sector; Integrated assessment;
    All these keywords.

    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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