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首页> 外文期刊>Journal of the Association of Environmental and Resource Economists >A Contingent Valuation Approach to Estimating Regulatory Costs: Mexico's Day without Driving Program
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A Contingent Valuation Approach to Estimating Regulatory Costs: Mexico's Day without Driving Program

机译：估算监管成本的权变估值方法：墨西哥无驾驶计划日

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摘要

Little is known about the cost of environmental regulations that target households instead of firms, partly because of significant methodological and data challenges. We use the contingent valuation method to measure the costs of Mexico City’s Day without Driving program, which seeks to stem pollution and traffic congestion by prohibiting vehicles from being driven one day each week. To our knowledge, ours is the first study to focus directly on using stated preference methods to isolate and estimate the private costs of an existing environmental regulation. We find that the Mexican program’s costs are substantial: up to US$130 per vehicle per year, which represents 1%–2% of drivers’ annual income and implies total costs of US$617 million per year. Recent research questions whether driving restrictions programs like Mexico City’s actually have environmental benefits. Our results suggest that whatever benefits these programs may have, they can be quite costly.
机译：对于以家庭而不是企业为目标的环境法规的成本知之甚少，部分原因是方法和数据方面的挑战很大。我们使用或有估值方法来衡量墨西哥城无人驾驶日计划的成本，该计划旨在通过禁止车辆每周驾驶一天来减轻污染和交通拥堵。就我们所知，我们是第一个直接关注使用陈述的偏好方法来隔离和估计现有环境法规的私人成本的研究。我们发现，墨西哥计划的成本是巨大的：每辆车每年高达130美元，占驾驶员年收入的1％–2％，意味着每年的总成本为6.17亿美元。最近的研究质疑像墨西哥城这样的驾驶限制计划是否确实具有环境效益。我们的结果表明，这些程序可能带来什么好处，但代价却是很高的。

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