656 research outputs found

    Policy-Instrument Choice and Benefit Estimates for Climate-Change Policy in the United States

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    This paper provides the first willingness-to-pay (WTP) estimates in support of a national climate-change policy that are comparable with the costs of actual legislative efforts in the U.S. Congress. Based on a survey of 2,034 American adults, we find that households are, on average, willing to pay between 79and79 and 89 per year in support of reducing domestic greenhouse-gas (GHG) emissions 17 percent by 2020. Even very conservative estimates yield an average WTP at or above $60 per year. Taking advantage of randomized treatments within the survey valuation question, we find that mean WTP does not vary substantially among the policy instruments of a cap-and-trade program, a carbon tax, or a GHG regulation. But there are differences in the sociodemographic characteristics of those willing to pay across policy instruments. Greater education always increases WTP. Older individuals have a lower WTP for a carbon tax and a GHG regulation, while greater household income increases WTP for these same two policy instruments. Republicans, along with those indicating no political party affiliation, have a significantly lower WTP regardless of the policy instrument. But many of these differences are no longer evident after controlling for respondent opinions about whether global warming is actually happening.

    Toward a New Consciousness: Values to Sustain Human and Natural Communities

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    A Synthesis of Insights and Recommendations from the 2007 Yale F&ES Conferenc

    Global Warming Risk Perceptions in India

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    Thaker, Jagadish, Smith, Nicholas, and Leiserowitz, Anthony ; 2020; Global warming risk perceptions in India; "Published in Risk Analysis" ; http://dx.doi.org/10.1111/risa.13574Publishe

    The wisdom of crowds: predicting a weather and climate-related event

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    types: ArticleArticle published in open-access journal, Judgment and Decision Making, vol. 8(2), pp. 91-105Environmental uncertainty is at the core of much of human activity, ranging from daily decisions by individuals to long-term policy planning by governments. Yet, there is little quantitative evidence on the ability of non-expert individuals or populations to forecast climate-related events. Here we report on data from a 90-year old prediction game on a climate related event in Alaska: the Nenana Ice Classic (NIC). Participants in this contest guess to the nearest minute when the ice covering the Tanana River will break, signaling the start of spring. Previous research indicates a strong correlation between the ice breakup dates and regional weather conditions. We study betting decisions between 1955 and 2009. We find the betting distribution closely predicts the outcome of the contest. We also find a significant correlation between regional temperatures as well as past ice breakups and betting behavior, suggesting that participants incorporate both climate and historical information into their decision-making

    The Role of Emotion in Global Warming Policy Support and Opposition

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    Prior research has found that affect and affective imagery strongly influence public support for global warming. This article extends this literature by exploring the separate influence of discrete emotions. Utilizing a nationally representative survey in the United States, this study found that discrete emotions were stronger predictors of global warming policy support than cultural worldviews, negative affect, image associations, or sociodemographic variables. In particular, worry, interest, and hope were strongly associated with increased policy support. The results contribute to experiential theories of risk information processing and suggest that discrete emotions play a significant role in public support for climate change policy. Implications for climate change communication are also discussed
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