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首页> 外文期刊>The Science of the Total Environment >Recency and projection biases in air quality valuation by Chinese residents
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Recency and projection biases in air quality valuation by Chinese residents

机译：中国居民空气质量估值中的新兴和投影偏见

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摘要

We combine survey responses to subjective well-being (SWB) questions with air pollution data to recover Chinese residents' valuation of air quality improvements. Motivated by theoretical models of 'projection bias' and 'recency bias, we posit that one's SWB (and valuation) is affected disproportionately by more recent experiences with air pollution, even though long-term air pollution is more detrimental to one's actual well-being. Towards this end, we find that valuation for a unit improvement in PM2.5 is twice as large when air quality on the day of survey is used as the explanatory variable compared to air quality averaged over a year. Our findings have far-reaching research and policy implications as they call into question the appropriate temporal scale of air quality conditions when conducting valuation studies or policy evaluations. Furthermore, our results imply that policymakers could conceivably exploit this behavioral bias to introduce more stringent air quality management policies when air quality is extremely poor. (C) 2018 Elsevier B.V. All rights reserved.
机译：我们将调查响应与空气污染数据的主观福祉（SWB）问题相结合，以收回中国居民对空气质量改进的估值。受“投影偏见”和“新近偏见的理论模型的动机，我们认为一个人的SWB（和估值）受到最近的空气污染的经验的影响，即使长期空气污染对一个人的实际福祉更有害。为此，我们发现PM2.5的单位改善的估值是当调查当天的空气质量用作与一年中的空气质量相比用作解释性变量时的空气质量的两倍。我们的调查结果具有深远的研究和政策影响，因为他们在进行估值研究或政策评估时调用了适当的空气质量条件的适当时间规模。此外，我们的结果意味着政策制定者可以想象，当空气质量极差时，政策制定者可以想象地利用这种行为偏见来引入更严格的空气质量管理政策。 （c）2018年elestvier b.v.保留所有权利。

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