Carbon footprint labels involving traffic lights foster sustainable food choices
Version
Published
Identifiers
10.1016/j.foodqual.2023.104813
Date Issued
2023-02
Author(s)
Type
Article
Language
English
Abstract
One reason consumers buy unsustainable products is that judging the environmental impact of food choices is very difficult. This study examines whether using carbon footprint labels to convey relevant impact information increases the tendency to choose low-carbon food items. In a pre-registered online experiment, 1,126 participants chose between low-CO2 and high-CO2 products 14 times (e.g., chili sin carne versus chili con carne or margarine versus butter). The two alternatives were either presented without labels (control), with a label communicating the food alternative’s relative sustainability within its food category (traffic light), with a label communicating the absolute carbon emissions in kg CO2 (absolute), or with a label communicating both the relative sustainability and absolute carbon emissions (combined). The results show that the traffic light label and the combined label increased the chance of choosing a low-CO2 (versus a high-CO2) food item. There were no interactions between carbon footprint labels and environmental concern / cognitive reflection. Our research contributes to the discussion on the effectiveness and practical relevance of carbon footprint labels by testing a specific traffic light design and demonstrating the limited impact of communicating absolute carbon emissions.
Publisher DOI
Journal or Serie
Food Quality and Preference
Journal or Serie
Food Quality and Preference
ISSN
0950-3293
Organization
Volume
106
Publisher
Elsevier
Submitter
Stöckli, Sabrina
Citation apa
Holenweger, G., Stöckli, S., & Brügger, A. (2023). Carbon footprint labels involving traffic lights foster sustainable food choices. In Food Quality and Preference (Vol. 106). Elsevier. https://doi.org/10.24451/dspace/11903
File(s)![Thumbnail Image]()
Loading...
open access
Name
1-s2.0-S0950329323000071-main.pdf
License
Attribution 4.0 International
Version
published
Size
763.31 KB
Format
Adobe PDF
Checksum (MD5)
a8f848b5387ba896d8abba501c7f940a
