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Methodology to Calculate Social Values for Air Pollution Using Discrete Choice Models

机译:使用离散选择模型计算空气污染社会价值的方法

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摘要

A new methodology for the estimation of social values of urban air pollution for project appraisal is proposed. This is performed by using individual perceptions (marginal disutilities) of those who are directly affected by this externality, which are then transformed into social values using the social welfare approach developed by Gdlvez and Jara-Diaz in 1998. The approach also unveils the implicit social bias behind the commonly accepted willingness-to-pay measures. The method is illustrated using individual perceptions obtained from stated preference experiments within the context of residential location including three attributes: an objective measure of air pollution by zone of the city, an index of family accessibility to work and study, and the monthly rent. Discrete residential choice models were estimated by income group, from which indirect utility functions were obtained. Marginal disutilities were used to obtain social values of air pollution for each income group by means of the calculation of a social utility of money. The methodological underpinnings and difficulties of the approach are specially highlighted. The need to establish a national programme for the estimation of social values is emphasized.
机译:提出了一种新的评价项目评价城市空气污染社会价值的方法。这是通过使用直接受这种外部性影响的人们的个人感知(边际效用)来执行的,然后使用Gdlvez和Jara-Diaz在1998年开发的社会福利方法将其转化为社会价值。该方法还揭示了隐性的社会普遍接受的支付意愿措施背后的偏见。该方法通过在住宅位置的背景下从陈述的偏好实验中获得的个人看法进行说明,包括三个属性:按城市区域划分的空气污染的客观度量,家庭工作和学习的可及性指数以及月租金。按收入组估算离散的住宅选择模型,从而获得间接效用函数。通过计算货币的社会效用,边际效用被用于获得每个收入群体的空气污染的社会价值。特别强调了该方法的方法论基础和困难。强调需要建立国家计划以评估社会价值。

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