JOURNAL ARTICLE
Plant power: SEEDing our future with plant-based eating.
Published In: Journal of Consumer Psychology (John Wiley & Sons, Inc. ), 2023, v. 33, n. 1. P. 167 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Bublitz, Melissa G.; Catlin, Jesse R.; Jones, Aziza C.; Lteif, Lama; Peracchio, Laura A. 3 of 3
Abstract
The climate crisis, coupled with the COVID-19 pandemic and the Black Lives Matter movement, are contributing to a shift in what people eat. For environmental sustainability, ethical, social justice, and health reasons, people are embracing plant-based diets, which involve consuming mostly fruits, vegetables, grains, and beans and little or no meat and dairy products. Drawing on insights from consumer psychology, this review synthesizes academic research at the intersection of food and consumer values to propose a framework for understanding how and why these values--Sustainability, Ethics, Equity, and Dining for health--are transforming what people eat. We term our model the SEED framework. We build this framework around a report assembled by the Rockefeller Foundation (2021) that describes how to grow a value-based societal food system. Finally, we highlight insights from consumer psychology that promote an understanding of how consumer values are shifting people's diets and raise research questions to encourage more consumer psychologists to investigate how and why values influence what consumers eat, which in turn impacts the well-being of people, our environment, and society. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Consumer Psychology (John Wiley & Sons, Inc. ). 2023/01, Vol. 33, Issue 1, p167
- Document Type:Article
- Subject Area:Economics
- Publication Date:2023
- ISSN:1057-7408
- DOI:10.1002/jcpy.1328
- Accession Number:161213742
- Copyright Statement:Copyright of Journal of Consumer Psychology (John Wiley & Sons, Inc. ) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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