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Combining Top-Down and Bottom-Up Approaches To Energy-Economy Modeling Using Discrete Choice Methods

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  • Nic Rivers
  • Mark Jaccard

Abstract

Recently, hybrid models of the energy-economy have been developed with the objective of combining the strengths of the traditional top-down and bottom-up approaches by simulating consumer and firm behavior at the technological level. We explore here the application of discrete choice research and modeling to the empirical estimation of key behavioral parameters representing technology choice in hybrid models. We estimate a discrete choice model of the industrial steam generation technology decision from a survey of 259 industrial firms in Canada. The results provide behavioral parameters for the CIMS energy-economy model. We then conduct a policy analysis and show the relative effects of an information program, technology subsidy, and carbon dioxide tax on the uptake of alternative industrial steam generation technologies, including boilers and cogeneration systems. We also show how empirically derived estimates of parameter uncertainty can be propagated through the model to provide uncertainty estimates for major model outputs.

Suggested Citation

  • Nic Rivers & Mark Jaccard, 2005. "Combining Top-Down and Bottom-Up Approaches To Energy-Economy Modeling Using Discrete Choice Methods," The Energy Journal, , vol. 26(1), pages 83-106, January.
    • Handle: RePEc:sae:enejou:v:26:y:2005:i:1:p:83-106
    DOI: 10.5547/ISSN0195-6574-EJ-Vol26-No1-4
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    References listed on IDEAS

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    3. Koopmans, Carl C. & te Velde, Dirk Willem, 2001. "Bridging the energy efficiency gap: using bottom-up information in a top-down energy demand model," Energy Economics, Elsevier, vol. 23(1), pages 57-75, January.
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    Cited by:

    1. Cocker, Fleance George & Thalmann, Philippe & Vielle, Marc, 2025. "Input factor substitution under climate-neutral pathways," Applied Energy, Elsevier, vol. 399(C).

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