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Valuation of ecosystem services provided by irrigated rice agriculture in Thailand: a choice experiment considering attribute nonattendance

机译:泰国灌溉水稻农业提供的生态系统服务的估值:考虑到属性不统一的选择实验

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This research investigates how the public of a middle-income country, Thailand, values ecosystem services associated with irrigated rice agriculture using a choice experiment. The results show a significant willingness to pay for services such as drought mitigation, water quality and the environment and maintenance of rural lifestyles and rice landscapes. The iterative procedure developed to fully analyze the incidence of attribute nonattendance (ANA) improved the model fit when compared with a multinomial logit model or an ANA model with potentially only one attribute ignored at a time (ANA-1). Moreover, the inferred probability of the class of respondents having attended all attributes was 45%, compared to 9% with ANA-1 model. However, it also suggests that 55% of the respondents made their choices by considering only two of the five attributes. Finally, this research also suggests that failing to consider ANA does not change the public ranking of scenarios contrasted by the services they would provide but would overestimate the WTP for these scenarios.
机译:本研究调查了利用选择实验如何调查了中等收入国家泰国的价值与灌溉水稻农业相关的生态系统服务。结果表明,为农村生活方式和水稻景观等服务支付服务,如干旱缓解,水质和环境和维护。与多项式Lo​​git模型或ANA模型相比,该迭代程序改进了属性非声明(ANA)的发生率,改善了模型配合,或者在潜在的时间仅忽略一个属性(ANA-1)。此外,参加所有属性的受访者等级的推断概率为45%,而ANA-1模型相比为9%。但是,它还表明,55%的受访者通过考虑只考虑五个属性中的两个。最后,这项研究还表明,未能考虑ANA不会改变由他们所提供的服务对比的场景的公共排名,而是将估计这些方案的WTP。

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