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Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy

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  • Iverson, Terrence
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    Abstract

    The paper considers the decision that arises in climate policy where there is expert disagreement about the correct scientific model and where a group of stakeholders needs to agree on a common policy target. Policy choice is posed as a decision under Knightian uncertainty, where decision-makers lack grounds for assigning a particular probability distribution across contending forecasting models. The decision is then framed as one of balancing two competing objectives that plausibly align with the dominant concern of stakeholders from each side in the policy debate. A decision criterion is proposed to identify options for compromise that balance these objectives in different ways. The criterion spans three standard non-Bayesian decision criteria. Policies generated by the criterion are combined with visual tools to communicate “what's at stake” in an environmental policy decision in which stakeholders disagree both about scientific models and about the relative importance of risks to the environment versus risks to economic growth. The approach summarizes information that could be useful to policy-makers tasked with negotiating a compromise. The framework is applied to climate policy using DICE-2007 (Nordhaus 2008). The results highlight a basic asymmetry between the mistake of “doing too little” and that of “doing too much” that suggests a strong argument for avoiding the current status quo of global inaction.

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    Bibliographic Info

    Article provided by Elsevier in its journal Ecological Economics.

    Volume (Year): 77 (2012)
    Issue (Month): C ()
    Pages: 74-90

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    Handle: RePEc:eee:ecolec:v:77:y:2012:i:c:p:74-90

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    Web page: http://www.elsevier.com/locate/ecolecon

    Related research

    Keywords: Decision making under uncertainty; decision support; ambiguity; Knightian uncertainty; minimax regret; climate change policy;

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    Cited by:
    1. Iverson, Terrence, 2013. "Minimax regret discounting," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 598-608.

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