对原产国标签支付意愿的meta -回归分析

IF 3.4 2区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Ching-Hua Yeh, Stefan Hirsch
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引用次数: 2

摘要

食品质量和食品安全问题日益引起消费者和决策者的兴趣和关注。因此,原产国标签(COOL)在商业、政策和研究中的重要性日益增加。大量的研究报告了消费者对COOL的支付意愿(WTP)的广泛估计,使用陈述偏好方法,特别是离散选择实验。我们应用meta回归分析综合了从2009年至2020年间发表的59项使用离散选择实验的研究中提取的204个WTP对COOL估计的异质结果。元回归分析允许为COOL的WTP导出一个调整后的汇总代理,并且还研究了报告的WTP估计中异质性的决定因素。我们的研究结果表明,COOL存在显著的正WTP,并且还表明报道的WTP估计值不受发表偏倚的影响。此外,它们还显示出WTP估算值在研究背景和方法特征上的系统性差异。更准确地说,我们发现所分析的区域和产品(动物与植物为基础),以及选择设计的某些特征(例如,使用的属性数量,或包含选择退出选项)可能对COOL的估计WTP产生重大影响。最后,我们的结果揭示了不同类型的COOL(例如,国内与国外)之间的价格溢价存在显著差异。这突出表明,在没有进一步考虑潜在研究设计的情况下,个体初步研究的结果不应一概而论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A meta-regression analysis on the willingness-to-pay for country-of-origin labelling

A meta-regression analysis on the willingness-to-pay for country-of-origin labelling

Food quality and food safety issues arouse increasing interest and concern among consumers and policy-makers. Consequently, the importance of country-of-origin labelling (COOL) is increasing in business, policy and research. Numerous studies have reported a wide range of estimates for consumers' willingness-to-pay (WTP) for COOL using stated preference methods and, in particular, discrete choice experiments. We apply meta-regression analyses to synthesise the heterogeneous results of 204 WTP for COOL estimates extracted from 59 studies which used discrete choice experiments and were published between 2009 and 2020. Meta-regression analysis allows an adjusted summary proxy to be derived for the WTP for COOL and the determinants of heterogeneity in reported WTP estimates are also investigated. Our results suggest that there is a significant positive WTP for COOL, and also reveal that the reported WTP estimates are unaffected by publication bias. In addition, they show systematic variation in WTP estimates across the context and methodological characteristics of the studies. More precisely, we find that the region and the product (animal- vs. plant-based) analysed, as well as certain characteristics of the choice design (e.g., the number of attributes used, or the inclusion of an opt-out option) can have a significant impact on the estimated WTP for COOL. Finally, our results reveal significant differences in price premiums between various types of COOL (e.g., domestic vs. foreign). This highlights that results from individual primary studies should not be generalised without further consideration of the underlying study design.

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来源期刊
Journal of Agricultural Economics
Journal of Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.90
自引率
2.90%
发文量
48
审稿时长
>24 weeks
期刊介绍: Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership.
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