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Improving Decision Making for Public R&D Investment in Energy: Utilizing Expert Elicitation in Parametric Models

Author

Listed:
  • Gabriel Chan

    (Humphrey School of Public Affairs, University of Minnesota)

  • Laura Diaz Anadon

    (Department of Politics and International Studies, Cambridge University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Gabriel Chan & Laura Diaz Anadon, 2016. "Improving Decision Making for Public R&D Investment in Energy: Utilizing Expert Elicitation in Parametric Models," Working Papers EPRG 1631, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1631
    as

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    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1631.pdf
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    Citations

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    Cited by:

    1. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).

    More about this item

    Keywords

    decision-making under uncertainty; research policy; public R&D; energy R&D; energy technology;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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