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Willingness to Pay to Avoid Water Restrictions in Australia Under a Changing Climate

机译:在变化的气候下,为避免水限制在澳大利亚付出的意愿

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摘要

Mandatory water use restrictions have become a common feature of the urban water management landscape in countries like Australia. Water restrictions limit how water can be used and their impacts have often been enumerated by using stated preference techniques, like contingent valuation. Most interest in these studies emerged in times of drought, when the severity of restrictions and their deployment had increased and water managers contemplate supply augmentation measures. A question thus arises as to whether the same estimates can be legitimately deployed to water supply projects undertaken when water is more plentiful. This study sheds light on the impact on estimates of willingness to pay when the climatic backdrop to a contingent valuation experiment is altered. We report the results of a comparison between two surveys, undertaken in 2008 and 2012, using a common multiple-bounded discrete choice contingent valuation design, administered across six cities in Australia, covering metropolitan and regional settings. Using a finite mixture, scaled ordered probit model we investigate changes over time in willingness to pay by city, and also causes of individual heterogeneity in willingness to pay. We find that willingness to pay estimates significantly change over time in most regional centres but this is not the case for the major cities of Sydney and Melbourne, once changes in housing prices are included in the analysis.
机译:强制用水限制已经成为澳大利亚等国家城市用水管理格局的普遍特征。用水限制限制了水的使用方式,其影响通常通过使用陈述的偏好技术(如或有估值)来列举。这些研究的最大兴趣出现在干旱时期,当时限制的严厉程度和部署越来越严格,水管理人员正在考虑增加供水措施。因此产生了一个问题,即当水量更多时,是否可以将相同的估计数合法地用于供水项目。这项研究揭示了当或有估值实验的气候背景发生变化时,对支付意愿估计值的影响。我们报告了在2008年和2012年进行的两次调查之间的比较结果,该调查使用了共同的多边界离散选择或有估值设计,该设计在澳大利亚的六个城市进行管理,覆盖大城市和区域设置。使用有限的混合,可缩放的有序概率模型,我们调查了城市支付意愿随时间的变化,以及个人支付意愿异质性的原因。我们发现,在大多数地区中心,支付估计的意愿会随时间发生显着变化,但一旦房价中包含了变化,悉尼和墨尔本等主要城市就不会如此。

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