Perspectives on valuing water quality improvements using stated preference methods.
Perspectives on valuing water quality improvements using stated preference methods.
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DOI：
10.1073/pnas.2217456120
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发表时间：
2023-05-02
影响因子：
11.1
通讯作者：
Whitehead, John
中科院分区：
文献类型：
--
作者：
Bateman, Ian J.;Keeler, Bonnie;Olmstead, Sheila M.;Whitehead, John
改善淡水河流和湖泊的质量可以产生一系列广泛的效益，从休闲划船、钓鱼和游泳等“使用价值”到改善水生生物多样性等“非使用价值”。将这些非市场价值纳入决策，对于确定改善水质的适当投资水平至关重要。然而，在水质效益的经济评估方面的进展落后于空气质量效益评估方面的类似努力，这对水政策有影响。新的数据来源、建模技术和声明偏好调查方法的创新显著改善了对水质改善的使用和不使用效益的估计。在这里，我们提供了一个观点，说明最近将陈述偏好技术应用于水质改善的非市场效益评估如何推动了环境评估领域的发展。这个概述是围绕四个关键问题构建的：i)我们寻求重视的水质是什么？ii)我们应该如何设计和实施调查，以引出个人的既定偏好？iii)我们如何评估这些研究结果的有效性？这些评估工作对公共政策的贡献是什么？在回答这些问题时，我们参考了本次研讨会的论文所提供的贡献。
Improvements to the quality of freshwater rivers and lakes can generate a wide array of benefits, from “use values” such as recreational boating, fishing, and swimming to “nonuse values” such as improved outcomes for aquatic biodiversity. Bringing these nonmarket values into decision-making is crucial to determining appropriate levels of investment in water quality improvements. However, progress in the economic valuation of water quality benefits has lagged similar efforts to value air quality benefits, with implications for water policy. New data sources, modeling techniques, and innovation in stated preference survey methods offer notable improvements to estimates of use and nonuse benefits of improved water quality. Here, we provide a perspective on how recent applications of stated preference techniques to the valuation of the nonmarket benefits of water quality improvements have advanced the field of environmental valuation. This overview is structured around four key questions: i) What is it about water quality that we seek to value? ii) How should we design and implement the surveys which elicit individuals’ stated preferences? iii) How do we assess the validity of the findings provided by such studies? and iv) What are the contributions of these valuation exercises to public policy? In answering these questions, we make reference to the contributions provided by the papers in this Symposium.
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影响因子：
5.4
作者：
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通讯作者：
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影响因子：
4.6
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