Novel Approaches to Analyze Consumer Behavior and Policies to Promote Sustainable Consumption

IF 4 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Bhagyashree Katare, Xuejian Wang, Shuoli Zhao, Jacqueline Yenerall
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引用次数: 0

Abstract

Technological advancements, such as online grocery shopping, have significantly transformed consumer retail environments and experiences. Effectively studying consumer behavior in these new environments requires the use of novel methodological approaches, which will also aid in developing interventions to encourage sustainable consumption. This paper begins by providing an overview of the current literature on novel approaches to analyzing consumer behavior, then provides an empirical application by examining consumer decision-making pathways within an online grocery shopping platform. Specifically, the paper focuses on exploring the consumers' digital footprints, such as page visits, product additions and removals, and interactions with information labels to identify patterns and interests in consumer responses to healthy and sustainable consumption. Findings highlight the potential benefits of integrating consumer search tracking data with environmental design to facilitate informed and conscious food choices.

分析消费者行为的新方法和促进可持续消费的政策
技术进步,如网上购物,极大地改变了消费者的零售环境和体验。在这些新环境中有效地研究消费者行为需要使用新的方法方法,这也将有助于制定鼓励可持续消费的干预措施。本文首先概述了当前关于分析消费者行为的新方法的文献,然后通过检查在线杂货购物平台内的消费者决策途径提供了实证应用。具体而言,本文着重于探索消费者的数字足迹,如页面访问、产品添加和删除以及与信息标签的交互,以确定消费者对健康和可持续消费的反应模式和兴趣。研究结果强调了将消费者搜索跟踪数据与环境设计相结合的潜在好处,以促进知情和有意识的食物选择。
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
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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