Perceived naturalness, disgust, trust and food neophobia as predictors of cultured meat acceptance in ten countries.


Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
01 12 2020
Historique:
received: 22 01 2020
revised: 20 07 2020
accepted: 29 07 2020
pubmed: 14 8 2020
medline: 25 6 2021
entrez: 14 8 2020
Statut: ppublish

Résumé

Cultured meat is a novel food technology that promises to produce meat in a more environmentally friendly and animal-friendly way. We conducted an internet survey in ten countries (Australia, China, England, France, Germany, Mexico, South Africa, Spain, Sweden and the US) with a total sample of 6128 participants. Results suggest that there are large cultural differences regarding the acceptance of cultured meat. French consumers were significantly less accepting of the idea than consumers in all other countries. Perceived naturalness of and disgust evoked by cultured meat were important factors in the acceptance of this novel food technology in all countries. Trust in the food industry, food neophobia and food disgust sensitivity indirectly and directly influenced the acceptance of cultured meat in almost all countries. In order to increase the acceptance of cultured meat, the similarity of cultured meat to traditional meat needs to be emphasized rather than the rather technical production process, which may evoke associations of unnaturalness and disgust.

Identifiants

pubmed: 32783971
pii: S0195-6663(20)30104-5
doi: 10.1016/j.appet.2020.104814
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104814

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Michael Siegrist (M)

ETH Zurich, Institute for Environmental Decisions (IED), Consumer Behavior, Universitätstrasse 22, 8092, Zurich, Switzerland. Electronic address: msiegrist@ethz.ch.

Christina Hartmann (C)

ETH Zurich, Switzerland.

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Classifications MeSH