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DOI10.1016/j.jclepro.2023.138942
Driven by utility or regret? Investigating the influence of decision-rule heterogeneity on public preferences for desertification control policies
Zeng, Yong; Mao, Biqi; Zhang, Yurou; Tang, Yurong
通讯作者Mao, BQ
来源期刊JOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
EISSN1879-1786
出版年2023
卷号425
英文摘要In the matter of investigating public preferences and stated value for desertification control policies, the choice experiment (CE) could provide valuable insights. However, traditional CE studies modeled the data based on the random utility maximization (RUM) framework, which ignores the significant impact of decision rules on individual choice behavior, such as the random regret minimization (RRM). To examine the influence of decisionrule heterogeneity on public preferences for desertification control scenarios, this study introduced a generalized random regret minimization (G-RRM) model to analyze public choices and developed a hybrid latent class model incorporating the RUM, RRM, and G-RRM choice paradigms to clarify the formation mechanism of decision-rule heterogeneity. The findings indicate that all RRM models demonstrate a better fit with the data than the RUM model, and 68.77% of respondents express significant preference for the RRM choice paradigm. Regret can serve as an important driving factor in public choices for desertification control policies. The hybrid latent class model containing the G-RRM class with different attribute-specific values achieves the best fit, revealing that decisionrule heterogeneity significantly influences individuals' choice behavior, and such heterogeneity is not only among different respondents, but also in their trade-offs across various attributes. The results also reveal the relationship between respondents' heterogeneous preferences for choice paradigms and their personality traits. Specifically, respondents with less education, residence years, and perceived usefulness of desertification control tend to prefer the RUM choice paradigm; female and respondents with more income, attention, and perceived usefulness of desertification control tend to prefer the RRM choice paradigm; as well as respondents with higher satisfaction to the current desertification situation show a greater decision-rule heterogeneity across different attributes. These results may provide interesting policy consequences, as they offer a precise comprehension of public choices for desertification control policies, through a combination of diverse decision rules.
英文关键词Desertification control Choice experiment Generalized random regret minimization model Hybrid latent class model Decision-rule heterogeneity
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:001084518500001
WOS关键词CHOICE EXPERIMENT ; MINIMIZATION MODEL ; CONSUMER CHOICE ; CHINA ; MAXIMIZATION ; PROVINCE ; AREAS ; LAND
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/397231
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GB/T 7714
Zeng, Yong,Mao, Biqi,Zhang, Yurou,et al. Driven by utility or regret? Investigating the influence of decision-rule heterogeneity on public preferences for desertification control policies[J],2023,425.
APA Zeng, Yong,Mao, Biqi,Zhang, Yurou,&Tang, Yurong.(2023).Driven by utility or regret? Investigating the influence of decision-rule heterogeneity on public preferences for desertification control policies.JOURNAL OF CLEANER PRODUCTION,425.
MLA Zeng, Yong,et al."Driven by utility or regret? Investigating the influence of decision-rule heterogeneity on public preferences for desertification control policies".JOURNAL OF CLEANER PRODUCTION 425(2023).
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