Effects of Multi-Level Eco-Labels on the Product Evaluation of Meat and Meat Alternatives-A Discrete Choice Experiment.
Hierarchical Bayes
choice experiment
eco-labels
meat attachment
multi-level labels
sustainability
willingness to pay
Journal
Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569
Informations de publication
Date de publication:
03 Aug 2023
03 Aug 2023
Historique:
received:
14
06
2023
revised:
13
07
2023
accepted:
01
08
2023
medline:
12
8
2023
pubmed:
12
8
2023
entrez:
12
8
2023
Statut:
epublish
Résumé
Eco-labels are an instrument for enabling informed food choices and supporting a demand-sided change towards an urgently needed sustainable food system. Lately, novel eco-labels that depict a product's environmental life cycle assessment on a multi-level scale are being tested across Europe's retailers. This study elicits consumers' preferences and willingness to pay (WTP) for a multi-level eco-label. A Discrete Choice Experiment was conducted; a representative sample (n = 536) for the Austrian population was targeted via an online survey. Individual partworth utilities were estimated by means of the Hierarchical Bayes. The results show higher WTP for a positively evaluated multi-level label, revealing consumers' perceived benefits of colorful multi-level labels over binary black-and-white designs. Even a negatively evaluated multi-level label was associated with a higher WTP compared to one with no label, pointing towards the limited effectiveness of eco-labels. Respondents' preferences for eco-labels were independent from their subjective eco-label knowledge, health consciousness, and environmental concern. The attribute "protein source" was most important, and preference for an animal-based protein source (beef) was strongly correlated with consumers' meat attachment, implying that a shift towards more sustainable protein sources is challenging, and sustainability labels have only a small impact on the meat product choice of average consumers.
Identifiants
pubmed: 37569210
pii: foods12152941
doi: 10.3390/foods12152941
pmc: PMC10418589
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : University of Natural Resources and Life Sciences, Vienna
ID : 11708712
Références
Nutrients. 2019 Nov 12;11(11):
pubmed: 31726708
Resour Conserv Recycl. 2023 Mar;190:106831
pubmed: 36874227
Appetite. 2000 Feb;34(1):55-9
pubmed: 10744892
Appetite. 2021 Apr 1;159:105058
pubmed: 33276014
Appetite. 2016 Aug 1;103:105-112
pubmed: 27037221
Proc Natl Acad Sci U S A. 2022 Aug 16;119(33):e2120584119
pubmed: 35939701
Br J Nutr. 2007 Nov;98(5):1058-69
pubmed: 17640416
Food Res Int. 2019 Sep;123:36-47
pubmed: 31284987
Food Res Int. 2019 Nov;125:108573
pubmed: 31554134
Meat Sci. 2019 Nov;157:107868
pubmed: 31234027
JAMA. 2019 Oct 22;322(16):1547-1548
pubmed: 31449288
Appetite. 2016 Oct 1;105:663-73
pubmed: 27378749
J Pers Assess. 2003 Feb;80(1):99-103
pubmed: 12584072
Appetite. 2011 Jun;56(3):662-73
pubmed: 21315123
Ecol Food Nutr. 2021 Jul-Aug;60(4):454-472
pubmed: 33405967
Foods. 2020 Jun 04;9(6):
pubmed: 32512792
PLoS Med. 2021 Oct 5;18(10):e1003765
pubmed: 34610024
Appetite. 2015 Dec;95:113-25
pubmed: 26148456
Meat Sci. 2017 Feb;124:9-14
pubmed: 27792916
Appetite. 2023 Jan 1;180:106312
pubmed: 36150553
Appetite. 1999 Aug;33(1):71-88
pubmed: 10447981
Science. 2018 Jul 20;361(6399):
pubmed: 30026199
Appetite. 2018 Aug 1;127:324-333
pubmed: 29792892
Science. 2018 Jun 1;360(6392):987-992
pubmed: 29853680
Lancet. 2019 Feb 2;393(10170):447-492
pubmed: 30660336
Appetite. 2017 Jun 1;113:246-254
pubmed: 28223237