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The effect of risk perception on willingness to pay for reductions in the health risks posed by particulate matter 2.5: A case study of Beijing, China

机译：风险感知对减少颗粒物造成的健康风险的支付意愿的影响2.5：以中国北京为例

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摘要

Particulate air pollution is a serious problem and has received extensive attention in Beijing. The public might amplify the health risks because of the visibility and frequency of haze, potentially leading to anxiety and panic. Public risk perception might affect individual behaviors and their willingness to pay for improving air quality. We used contingent valuation method and psychometric paradigm to investigate public risk perception and elicit willingness to pay for reductions in the health risk posed by fine particulate matter 2.5 smaller than 2.5 microns in width in Beijing, China. The logit model results showed that the level of fear and four characteristics of risk perception-familiarity, scope of impact, relevance to individual, and voluntariness-had significant effects on respondents' payment decision. The ordinary least squares model results showed the level of anxiety, anger, and satisfaction about the current situation and four characteristics of risk perception-scope of impact, overall risk, duration of effects, and controllability-had significant effects on the amount of willingness to pay.
机译：空气污染是一个严重的问题，在北京受到了广泛的关注。公众可能会因为雾霾的可见度和频率而加剧健康风险，从而可能导致焦虑和恐慌。公共风险感知可能会影响个人行为及其为改善空气质量而付出的意愿。我们使用权变估值方法和心理计量学范式来调查公众风险感知，并表示愿意为在中国北京由宽度小于2.5微米的2.5微米细颗粒物质带来的健康风险降低支付费用。 Logit模型的结果表明，恐惧的程度和风险感知的四个特征-熟悉程度，影响范围，与个人的关联性和自愿性-对受访者的付款决定具有重大影响。普通最小二乘模型的结果显示出对当前状况的焦虑，愤怒和满意程度，以及风险感知的四个特征-影响范围，总体风险，影响持续时间和可控制性，对意愿的程度产生了显着影响。工资。

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