Evidence map›Paper›PMID 37569210›Full record

ArticleFoods (Basel, Switzerland)2023

Effects of Multi-Level Eco-Labels on the Product Evaluation of Meat and Meat Alternatives-A Discrete Choice Experiment.

Anna Kolber, Oliver Meixner

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Anna KolberInstitute of Marketing & Innovation, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Feistmantelstraße 4, A-1180 Vienna, Austria.
Oliver MeixnerInstitute of Marketing & Innovation, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Feistmantelstraße 4, A-1180 Vienna, Austria.ORCID 0000-0002-8505-3130

Funding

University of Natural Resources and Life Sciences, Vienna 11708712
6 · The paper itself

Abstract

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.

Indexed as

choice experimenteco-labelsHierarchical Bayesmeat attachmentmulti-level labelssustainabilitywillingness to pay

Identifiers

PMID37569210
PMCPMC10418589

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.