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Integrating Bottom-Up into Top-Down: A Mixed Complementarity Approach

Author

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  • Böhringer, Christoph
  • Rutherford, Thomas F.

Abstract

We motivate the formulation of market equilibria as a mixed complementarity problem (MCP) in order to bridge the gap between bottom-up energy system models and top-down general equilibrium models for energy policy analysis. Our objective is primarily pedagogic. We first lay out that the MCP approach provides an explicit representation of weak inequalities and complementarity between decision variables and market equilibrium conditions. This permits us to combine bottom-up technological details and top-down economic richness in a single mathematical format. We then provide a stylized example of how to integrate bottom-up features into a top-down modeling framework along with worked examples and computer programs which illustrate our approach.

Suggested Citation

  • Böhringer, Christoph & Rutherford, Thomas F., 2005. "Integrating Bottom-Up into Top-Down: A Mixed Complementarity Approach," ZEW Discussion Papers 05-28, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:4271
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    File URL: https://www.econstor.eu/bitstream/10419/24137/1/dp0528.pdf
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    References listed on IDEAS

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    1. Bohringer, Christoph, 1998. "The synthesis of bottom-up and top-down in energy policy modeling," Energy Economics, Elsevier, vol. 20(3), pages 233-248, June.
    2. Chipman, John S., 1974. "Homothetic preferences and aggregation," Journal of Economic Theory, Elsevier, vol. 8(1), pages 26-38, May.
    3. Lawrence Goulder, 1995. "Environmental taxation and the double dividend: A reader's guide," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 2(2), pages 157-183, August.
    4. 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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    Cited by:

    1. repec:eee:energy:v:141:y:2017:i:c:p:803-817 is not listed on IDEAS
    2. Xavier Labandeira, Pedro Linares and Miguel Rodriguez, 2009. "An Integrated Approach to Simulate the impacts of Carbon Emissions Trading Schemes," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    3. Milad Maralani & Milad Maralani & Basil Sharp & Golbon Zakeri, 2016. "The Potential Impact of Industrial Energy Savings on The New Zealand Economy," EcoMod2016 9308, EcoMod.
    4. Eskeland, Gunnar S. & Rive, Nathan A. & Mideksa, Torben K., 2012. "Europe’s climate goals and the electricity sector," Energy Policy, Elsevier, vol. 41(C), pages 200-211.
    5. Sue Wing, Ian, 2008. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework," Energy Economics, Elsevier, vol. 30(2), pages 547-573, March.
    6. Lucas Bretschger & Lin Zhang & Roger Ramer, 2012. "Economic effects of a nuclear-phase out policy: A CGE analysis," CER-ETH Economics working paper series 12/167, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.

    More about this item

    Keywords

    Energy Policy; Computable General Equilibrium; Bottom-Up; Top-Down;

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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