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Disentangling preferences and expectations in stated preference analysis with respondent uncertainty: The case of invasive species prevention

机译:在陈述性偏好分析中,以被访者不确定性来区分偏好和期望:入侵物种的预防案例

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Contingent valuation typically involves presenting the respondent with a choice to pay for a program intended to improve future outcomes, such as a program to place parcels into conservation easement, or a program to manage an invasive species. Deducing from these data the value of the good (or bad) at the core of the program - the welfare gain generated by a parcel of conserved land, for instance, or the loss incurred by a species invasion - often is not possible because respondent preferences are conflated with their expectations about future environmental outcomes in the absence of the program. This paper formally demonstrates this conundrum in the context of a standard contingent valuation survey, and examines the use of additional survey data to resolve it. The application is to the prevention of lake invasions by Eurasian Watermilfoil (Myriophyllum spicatum), an invasive aquatic plant that is present in many lakes in the northern U.S. and Canada and a possible threat to many more. Respondents are shoreline property owners on lakes without Eurasian Watermilfoil. The estimated per-property welfare loss of a lake invasion is $30,550 for one model and $23,614 for another, both of which are in reasonable agreement with estimates obtained from a recent hedonic analysis of Eurasian Watermilfoil invasions in the study area [16], and from a companion contingent valuation survey of shoreline property owners on already-invaded lakes.
机译:或有评估通常包括向受访者提供选择以支付旨在改善未来成果的计划,例如将包裹放入保护地役权的计划或管理入侵物种的计划。从这些数据中得出计划核心的好(或坏)价值(例如,一块保护地所产生的福利收益或物种入侵所造成的损失)通常是不可能的,因为受访者的偏好在没有该计划的情况下,他们与他们对未来环境结果的期望混为一谈。本文在标准或有估值调查的背景下正式证明了这个难题,并研究了使用其他调查数据来解决这一难题的方法。该应用是为了防止欧亚水草(Myriophyllum spicatum)入侵湖泊,该植物是一种入侵性水生植物,存在于美国北部和加拿大的许多湖泊中,并且可能对更多湖泊造成威胁。受访者是没有欧亚水乳木湖的海岸线上的财产所有人。一个模型的湖泊平均财产损失估计为30,550美元,另一种模型为23,614美元,两者均与最近对研究区域欧亚水乳入侵的享乐主义分析[16]和对已经入侵的湖泊的海岸线业主进行的伴有或有估值评估。

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