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Does hedonic framing improve people's willingness-to-pay for vehicle greenhouse gas emissions?

机译:烟草框架是否会改善人们对车辆温室气体排放的愿意支付?

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摘要

The objective of this study is to determine the effects of framing of greenhouse gas emissions information on people's willingness-to-pay for transportation emissions reductions. Six different framing techniques were developed following goal framing theory and applied to the current Natural Resources Canada vehicle labels for gasoline, plug-in hybrid, and electric vehicles. Previous work applied gain and norm framing. In this experiment, two hedonic framings (e.g., color, emoticons) are added. Discrete choice experiments with 1985 Canadian drivers were used to determine willingness-to-pay for CO2 emissions reductions. Of the frames tested, the two hedonic additions of color and emoticons resulted in the greatest increases in willingness-to-pay. Carbon tax framing was the least influential. Various socio-demographic variables and regional influences were found. The results improve upon previous research and will help policy and decision makers improve the likelihood of environmentally friendly choices being made.
机译:本研究的目的是确定温室气体排放信息框架框架对人们愿意支付交通排放减少的影响。在目标框架理论之后开发了六种不同的框架技术,并应用于当前的自然资源加拿大汽油车辆标签,插入式混合动力车和电动车辆。以前的工作应用增益和规范框架。在该实验中,添加了两个啤酒份框架(例如,颜色,表情符号)。采用1985年加拿大司机的离散选择实验用于确定意愿 - 支付二氧化碳排放减少的费用。在测试的框架中,两种蜂窝增添了颜色和表情符号的意愿,愿意付费最大的增加。碳税框架是最不影响力的。发现了各种社会人口变量和区域影响。结果提高了以前的研究,并有助于政策和决策者提高环保选择的可能性。

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