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Attribute non-attendance in choice experiments: A study of residents' willingness-to-pay for the disposal of Enteromorpha prolifera in Qingdao, China

机译:归属于选择实验的归属归因:居民愿意支付恩麦粉促进植物的愿意支付

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Although attribute non-attendance (AN-A) in choice experiments (CEs) conducted in developed countries has received increasing attention, fewer researchers have studied this issue in developing countries. This paper presents a study on residents' willingness-to-pay (WTP) to dispose of Enteromorpha prolifera and restore damaged costal resources in Qingdao, China. Specifically, a five-level design of questions identifying attendance frequency was adopted to investigate the extent to which respondents have attended to each attribute during their series of choices in CEs. The results suggested the share of respondents not attending to each attribute was relatively lower than that in findings from studies in developed countries, but the finding of a large proportion of "partial attendance" was consistent with another similar study's results. Different models were developed, estimated and compared based on stated AN-A information. The statistically superior model suggested self-stated "never considered" or "rarely considered" attributes do not contribute to model fitness; the marginal utility of attributes in the "partial attendance" group are relatively smaller than corresponding values from the "full attendance group". However, no significant differences have been found between WTP estimates based on a standard model and those based on the superior model. This paper can make several contributions to the literature on AN-A, as it was conducted in a developing country, focuses on a specific coastal ecological disaster and duly considers "partial attendance" cases.
机译:虽然发达国家所进行的选择实验(CES)的属性未出席(AN-A)受到越来越高的关注,但研究人员在发展中国家们研究了这个问题。本文介绍了居民愿意支付(WTP)处理肠道植物的愿望,并在中国青岛恢复损坏的昂贵资源。具体而言,采用了识别出勤频率的五级设计,以调查受访者在CES系列选择期间参加受访者的程度。结果表明,由于发达国家的研究中,受访者的份额相对较低,但在众多“部分出勤”的发现与另一种类似的研究结果一致。基于所述A-A信息,开发,估计和比较了不同的模型。统计上卓越的模型建议自称“从未考虑过”或“很少考虑”属性没有促进模型健身; “部分出勤”集团的属性的边际效用比“全面出席组”的相应价值相对小。然而,基于标准模型的WTP估计与基于卓越模型的人之间没有发现显着差异。本文对文献的文献提供了几项贡献,因为它在一个发展中国家进行,重点关注特定的沿海生态灾害和适当考虑“部分出席”案件。

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