Comparing consumer preferences for sustainable dairy activities among countries.

Q1 Mathematics

Behaviormetrika Pub Date : 2023-01-01 Epub Date: 2023-01-20 DOI:10.1007/s41237-022-00192-w

Hideo Aizaki, Hironobu Takeshita

引用次数: 2

Abstract

This study measures consumer preferences for 11 sustainable dairy activities and examines the differences in preferences among five countries: the UK, the Netherlands, France, Italy, and Japan. A case 1 best-worst scaling is used to evaluate greenhouse gas emissions, fertilizer application, soil management, water management, biodiversity, working environment, animal care, wastes, market development, rural communities, and product safety and quality. Consumers across countries have diverse preferences for sustainable dairy farming activities, which may be related to the COVID-19 pandemic and social attention toward the environment and agriculture. Preferential differences for some activities were also revealed by gender and age. When discussing the priorities of some activities, conflicts between gender and generations could arise. Information on consumer preference can help various stakeholders discuss how to improve the sustainability of the dairy sector.

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比较各国消费者对可持续乳制品活动的偏好。

本研究测量了消费者对11种可持续乳制品活动的偏好，并考察了英国、荷兰、法国、意大利和日本五个国家的偏好差异。案例1最佳-最差比例用于评估温室气体排放、化肥施用、土壤管理、水管理、生物多样性、工作环境、动物护理、废物、市场发展、农村社区以及产品安全和质量。各国消费者对可持续奶牛养殖活动有着不同的偏好，这可能与新冠肺炎疫情以及社会对环境和农业的关注有关。性别和年龄也显示出对某些活动的偏好差异。在讨论某些活动的优先事项时，可能会出现性别和代际之间的冲突。有关消费者偏好的信息可以帮助各个利益相关者讨论如何提高乳制品行业的可持续性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behaviormetrika Mathematics-Analysis

CiteScore

5.10

自引率

0.00%

发文量

期刊介绍： Behaviormetrika is issued twice a year to provide an international forum for new theoretical and empirical quantitative approaches in data science. When Behaviormetrika was launched in 1974, the journal advocated data science, as an interdisciplinary field that included the use of statistical methods to extract meaningful knowledge from data in its various forms: structured or unstructured. Behaviormetrika is the oldest journal addressing the topic of data science. The first editor-in-chief of Behaviormetrika, Dr. Chikio Hayashi, described data science in this way:“Data science is not only a synthetic concept to unify statistics, data analysis, and their related methods; it also comprises its results. Data science is intended to analyze and understand actual phenomena with ‘data.’ In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human, and social phenomena using data from a different perspective from the established or traditional theory and method.” Behaviormetrika is a fully refereed international journal, which publishes original research papers, notes, and review articles. Subject areas suitable for publication include but are not limited to the following methodologies and fields. Methodologies Data scienceMathematical statisticsSurvey methodologiesArtificial intelligence Information theoryMachine learning Knowledge discovery in databases (KDD)Graphical modelsComputer scienceAlgorithms FieldsMedicinePsychologyEducationEconomicsMarketingSocial scienceSociologyPolitical sciencePolicy scienceCognitive scienceBrain science