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Enregistrement W2476479533 · doi:10.1108/bfj-03-2016-0121

Meat consumption and higher prices

2016· article· en· W2476479533 sur OpenAlexaffabout
Sylvain Charlebois, Maggie McCormick, Mark Juhasz

Notice bibliographique

RevueBritish Food Journal · 2016
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomics of Agriculture and Food Markets
Établissements canadiensUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésPurchasingConsumption (sociology)SustainabilityBusinessProduction (economics)Volatility (finance)WelfareAnimal welfareMarketingFood safetyPurchasing powerEconomicsAgricultural economicsMicroeconomicsFood scienceMarket economy

Résumé

récupéré en direct d'OpenAlex

Purpose The purpose of this paper is to evaluate if sudden retail price increases for beef products have affected consumers purchasing behaviors. Little research has been conducted that integrates retail price volatility with subdued food consumption motivations. Prior research about consumers’ meat-purchasing habits and systemic concerns linked to sustainability and animal welfare is limited or de-contextualized. This study also attempts to assess if retail price increases have triggered a change in perception of the meat industry, by looking at specific values related to animal protein production and consumption. Design/methodology/approach This study is based on an inductive, quantitative analysis of primary data obtained from a survey on beef consumption. For convenience and validity, all respondents had to be living in Canada for 12 months, and were at least 18 years old. The choice of country is not trivial. First, access to data were convenient for this study. Second, and most importantly, Canada has supply managed commodities that include poultry and chicken. In effect, Canada produces the amount of chicken it needs. Beef production is vulnerable to market volatility. As a result, demand-focussed market conditions for one often influence conditions for the other. Findings Findings indicate that higher prices have compelled 37.9 percent of the sample to reduce or to stop beef consumption altogether in the last 12 months. Beyond the issue of price, sustainability, food safety and health appear to be significant factors, more so than ethics (animal welfare). Results also show that education can be considered as a determinant for sustainable aspects of beef production when prices increase. Age and gender had no statistical significance on survey results. Some limitations are presented and future research paths are suggested. Research limitations/implications Since the sample in this study was mainly composed of consumers based in Canada, the generalizations of the findings should be approached with some caution. The same research should be conducted with consumers from other parts of the Western world to verify if the results can be generalized. Practical implications This survey help the authors to understand some aspects of beef consumption at retail. Findings of this empirical study have implications for future communications to consumers, in that greater emphasis should be given to the connection consumers have with other nutritional alternatives. Since meat consumption in the Western world is intrinsically linked to culinary traditions, behaviors can be challenging to change. Social implications The economic implications of a rapid adoption of a plant-based diet for the agricultural economy would be significant. However, the reality is that according to many studies of consumer behavior, customers still place a higher value on buying and eating meat than on any other food group. Canada’s relationship with animal proteins has deep cultural roots, particularly during holidays and summertime. Originality/value The present study has given important insights into the determinants of meat consumption reduction, a behavior which could both have long-term economic implications for the cattle and beef industries. This paper provides a deeper insight into some socio-economic factors that contribute to slow erosion of meat consumption reduction, and the effects of higher prices at retail. This is, as far as the authors know, likely the first study of its kind.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,350
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,184
Écart entre enseignants0,158 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations43
Publié2016
Routes d'admission2
Résumé présentoui

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