Consumer interaction with sustainability labelling on food products: a narrative literature review
Open accessAbstract
Sustainability labelling on food products can help consumers make informed purchasing decisions and support the urgent transition to sustainable food systems. While there is a relatively robust body of evidence on health and nutrition labelling, less is known about the effectiveness of sustainability labelling in facilitating sustainable food choices. This paper investigates the impact of sustainability labelling on consumer understanding, attitudes, and behaviour to support a more nuanced, detailed, and holistic understanding of the evidence. Using a narrative literature review methodology, the paper assesses studies covering environmental, social, and/or animal welfare aspects of sustainability labelling on food products. We found that consumer understanding of sustainability information is often limited, which could hinder behaviour change. While sustainability labelling can influence consumer attitudes and purchasing behaviours, evidence from real consumer settings tends to show small effect sizes. Consumers are generally willing to pay more for sustainability-labelled products, and organic labelling often leads to the highest reported willingness to pay. The review emphasises the importance of trust, suggesting a preference for labelling backed by governments or public authorities. Sustainability labelling that uses intuitively understandable cues has an increased impact, with visual aids such as traffic light colours showing promise. We conclude that further research is needed in real-world settings, using representative populations and exploring the influence of demographic factors, values, and attitudes.
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Cook et al. (2023) also observed that consumers are generally willing to pay moderately more for products with environmental and personal health-related credentials.
“Cook et al. (2023) also observed that consumers are generally willing to pay moderately more for products with environmental and personal health-related credentials.”
From Microalgae biotechnology and its role in sustainable and healthy food design (2025) · cites this paper as Cook et al., 2023
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- Authors
- Cook, B., Costa Leite, J., Rayner, M., Stoffel, S., van Rijn, E., & Wollgast, J.
- Affiliations
- Independent Researcher, Oxford OX4 3UD, UK
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy
- University of Oxford (GB)
- University of Basel (CH)
- Joint Research Centre (IT)
- Corresponding author
- Wollgast, Jan
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2023-09-02
- Volume
- 15
- Issue
- 17
- Pages
- 3837
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC10489983
- OpenAlex
- W4386410611
- Cited by
- 134
- References
- 45
- Citations by year
- 2026: 60 · 2025: 56 · 2024: 18
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion, cc-by)
- Funders
- European Commission (EX2022D594371-101, CT-EX2022D594537-101)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Organic Food and Agriculture
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- sustainability labelling, food products, consumer behavior, willingness to pay, organic labeling, consumer trust, traffic light labeling, environmental labelling, social labeling, animal welfare labels, sustainable food choices, consumer understanding, purchasing behaviour
- MeSH terms
- Animals, Animal Welfare, Cues, Government, Group Processes, Product Labeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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