Investigating spatially autocorrelated consumer preference for multiple ecolabels: Evidence from a choice experiment

Investigating spatially autocorrelated consumer preference for multiple ecolabels: Evidence from a choice experiment
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调查消费者对多个生态标签的空间自相关偏好:来自选择实验的证据

DOI:
10.1016/j.clrc.2022.100083
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发表时间:
2022
影响因子:
--
通讯作者:
Koichi Kuriyama
Koichi Kuriyama
中科院分区:
--
文献类型:
--
作者:
Shinsuke Kyoi;Masaya Fujino;Koichi Kuriyama

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本研究探讨空间自相关消费者偏好不同的生态标签,如认证的生态标签(I型)和非认证的生态标签(II型)。生态标签通过告知消费者生产方法来鼓励消费者购买环保产品,但其影响仍然有限。进一步探讨消费者对生态标签的偏好对于理解其影响和提高生态标签政策的效率至关重要。不仅消费者的社会经济属性,而且消费者之间的空间溢出效应可能会影响消费者对生态标签的偏好,但其影响程度仍不清楚。本研究利用多个生态标签水稻进行选择实验,并获得空间结构化数据。空间分析显示,消费者的选择存在正的空间自相关性,这意味着在空间上相互接近的消费者之间会观察到同质行为。这一结果表明,一个地区的消费者愿意经常购买生态标签大米,而另一个地区的消费者则不愿意购买。因此,在评估生态标签政策的影响时,忽略正的空间自相关性可以解释政策的影响。此外,消费者的偏好因生态标签的类型而异。消费者愿意支付更多的认证生态标签比非认证生态标签。本研究提出了更有效的生态标签政策的基础上的结果的实际政策含义。
This study investigates spatial autocorrelation in consumer preferences for diverse ecolabels, such as certified ecolabel (type I) and non-certified ecolabel (type II). Ecolabels encourage consumers to purchase environmentally friendly products by informing them of production methods, but their impact is still limited. Further exploration of consumer preferences for ecolabels is vital to understand their influences and improve the efficiency of ecolabel policy. Not only the socioeconomic attributes of consumers but also a spatial spillover effect among consumers may influence consumer preferences for ecolabels, but the extent of its influence remains unclear. This study conducted a choice experiment employing multiple ecolabeled rice and obtained spatially structured data. Spatial analysis revealed a positive spatial autocorrelation in consumers' choices, implying that homogeneous behavior would be observed among consumers who are spatially close to each other. This result suggests that consumers in one region would like to purchase ecolabeled rice frequently, whereas consumers in another region would like to decline to purchase it. Therefore, when evaluating the impact of ecolabel policies, ignoring a positive spatial autocorrelation misunderstands the impact of policies. Furthermore, consumers ' preferences are diverse according to the type of ecolabels. Consumers are willing to pay more to certified ecolabels than non-certified ecolabels. This study proposes practical policy implications for more efficient ecolabel policies based on the results.
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