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A Framework to Guide Thinking and Analysis Regarding Climate Change Policies

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  • Ralph L. Keeney
  • Timothy L. McDaniels

Abstract

The potential impacts from climate change, and climate change policies, are massive. Careful thinking about what we want climate change policies to achieve is a crucial first step for analysts to help governments make wise policy choices to address these concerns. This article presents an adaptive framework to help guide comparative analysis of climate change policies. The framework recognizes theinability to forecast long‐term impacts (due in part topath dependance) as a constraint on the use of standard policy analysis, and stresseslearning over time as a fundamental concern. The framework focuses on the objectives relevant for climate change policy in North America over the near term (e.g., the next 20 years). For planning and evaluating current climate policy alternatives, a combination of fundamental objectives for the near term and proxy objectives for characterizing the state of the climate problem and the ability to address it at the end of that term is suggested. Broad uses of the framework are discussed, along with some concrete examples. The framework is intended to provide a basis for policy analysis that explicitly considers the benefits of learning over time to improve climate change policies.

Suggested Citation

  • Ralph L. Keeney & Timothy L. McDaniels, 2001. "A Framework to Guide Thinking and Analysis Regarding Climate Change Policies," Risk Analysis, John Wiley & Sons, vol. 21(6), pages 989-1000, December.
  • Handle: RePEc:wly:riskan:v:21:y:2001:i:6:p:989-1000
    DOI: 10.1111/0272-4332.216168
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    Citations

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    Cited by:

    1. Bell, Michelle L. & Hobbs, Benjamin F. & Ellis, Hugh, 2003. "The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 289-316, December.
    2. Ortwin Renn & Andreas Klinke, 2013. "A Framework of Adaptive Risk Governance for Urban Planning," Sustainability, MDPI, vol. 5(5), pages 1-24, May.
    3. Travis William Reynolds & Ann Bostrom & Daniel Read & M. Granger Morgan, 2010. "Now What Do People Know About Global Climate Change? Survey Studies of Educated Laypeople," Risk Analysis, John Wiley & Sons, vol. 30(10), pages 1520-1538, October.
    4. Irene Lorenzoni & Nick F. Pidgeon & Robert E. O'Connor, 2005. "Dangerous Climate Change: The Role for Risk Research," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1387-1398, December.
    5. Donald L. Keefer & Craig W. Kirkwood & James L. Corner, 2004. "Perspective on Decision Analysis Applications, 1990–2001," Decision Analysis, INFORMS, vol. 1(1), pages 4-22, March.
    6. Timothy McDaniels & Tamsin Mills & Robin Gregory & Dan Ohlson, 2012. "Using Expert Judgments to Explore Robust Alternatives for Forest Management under Climate Change," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2098-2112, December.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    8. Michel, David, 2009. "Foxes, hedgehogs, and greenhouse governance: Knowledge, uncertainty, and international policy-making in a warming World," Applied Energy, Elsevier, vol. 86(2), pages 258-264, February.
    9. L. Robin Keller & Craig W. Kirkwood & Nancy S. Jones, 2010. "Assessing stakeholder evaluation concerns: An application to the Central Arizona water resources system," Systems Engineering, John Wiley & Sons, vol. 13(1), pages 58-71, March.

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