Exploring customer heterogeneity with a scale-extended latent class choice model: Experimental evidence drawn from urban water users

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-04-05 DOI:10.1111/1467-8489.12510
Bethany Cooper, Michael Burton, Lin Crase
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Abstract

The search for improved water pricing is central to urban water reform in many countries. Establishing efficient water prices is notoriously difficult, not least because different customers have different demands for water and yet they are presently faced with a one-size-fits-all approach to pricing and service. This is especially challenging where water availability fluctuates widely, as is the case in many parts of Australia, because the impacts of exposure to episodic periods of scarcity can differ markedly. There is now substantial interest in the notion of ‘unbundling’ the water product to provide a better fit between customers' preferences and the level of service received. Following this trend, this study provides important insights into householders' willingness to pay for a range of flexible water options using a choice experiment. The paper reports a relatively underemployed extension to the latent class modelling framework to investigate preference heterogeneity towards urban water products, including purchasing services that involve the provision of environmental and amenity outcomes. The work adds to studies that use choice data to reveal heterogeneity while improving our understanding of household customers' demands. Overall, it also brings into focus questions about the future management of water in urban contexts.

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利用规模扩展的潜在类别选择模型探索客户异质性:来自城市用水者的实验证据
寻求改善水价是许多国家城市水改革的核心。建立有效的水价是出了名的困难,尤其是因为不同的客户对水有不同的需求,而他们目前面临的是一种“一刀切”的定价和服务方法。在可用水量波动很大的地方,这尤其具有挑战性,就像澳大利亚许多地区的情况一样,因为遭受间歇性缺水的影响可能会有很大不同。现在,人们对“分拆”水产品的概念非常感兴趣,这样可以更好地满足客户的偏好和所获得的服务水平。遵循这一趋势,本研究通过选择实验提供了家庭愿意为一系列灵活的水选择付费的重要见解。本文报告了对潜在阶层建模框架的一个相对未充分利用的扩展,以调查对城市水产品的偏好异质性,包括购买涉及提供环境和舒适结果的服务。这项工作增加了使用选择数据来揭示异质性的研究,同时提高了我们对家庭客户需求的理解。总的来说,它也使人们关注未来城市环境中水资源管理的问题。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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