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Enregistrement W1490426310 · doi:10.7939/r3br8mp4x

Consumer Attitudes, Willingness to Pay and Revealed Preferences for Different Egg Production Attributes: Analysis of Canadian Egg Consumers

2007· preprint· en· W1490426310 sur OpenAlexaboutno aff
Peter C. Boxall, John Paul Emunu, Andre Asselin, Curtis Boyd, Ellen Goddard, Amanda Neall

Notice bibliographique

RevueRePEc: Research Papers in Economics · 2007
Typepreprint
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Environmental Valuation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPurchasingWillingness to payPreferenceBusinessConsumption (sociology)Animal welfareWelfareHomogeneousMarketingEconomicsBiologyEcology

Résumé

récupéré en direct d'OpenAlex

The Canadian egg industry has introduced a number of specialty eggs, including Omega-3, organic, free run/range, vitamin enhanced and vegetarian over the past few decades. These eggs are generally sold at prices higher than the ‘normal’ egg and there has been little analysis of the consumer awareness of and interest in purchasing these eggs. All previous econometric analysis of the Canadian egg market has assumed eggs and consumers are homogeneous. This study makes use of Stated preference and Revealed preference data to model the consumer interest in the different egg types. Stated preference surveys were conducted in two separate years: 2005 during which consumers were surveyed on their interest in Omega-3 and Vitamin Enhanced eggs relative to ‘normal’ eggs, white large, Grade A eggs, and 2006 during which consumers were surveyed on their interest in organic, freerun and vegetarian eggs relative to brown Grade-A eggs. Consumers were also assessed on their health behaviour, health consciousness, and in 2006 on their attitudes towards animal welfare, novelty foods, and environmental concerns. Results from this phase of the research suggested that among the sample of Alberta consumers, there is only modest interest in the specialty eggs, eggs, in general, are associated with other healthy behaviours, health conscious consumers are willing to pay more for specialty eggs, of all types, older consumers and consumers with families are significantly more price sensitive and hence, have constraints on their ability to purchase specialty eggs. As well, consumers with concerns about animal welfare will pay more for free run eggs, there is an increased interest in eggs with identified health attributes among older consumers. Revealed preference analysis of actual purchase behaviour was conducted on an A C Nielsen Homescan© panel data set over a three year period. Separate analyses were conducted for Alberta and Ontario frequent egg purchasers, with some significant differences across provinces. In Alberta no one is willing to pay more for specialty eggs than for normal eggs, with either modeling technique applied. In Ontario this assessment is less clear, the frequency model of how often across a three year period households purchased each type of egg, would suggest that consumers are willing to pay more for specialty eggs than for ‘normal’ eggs, with organic the egg that they are willing to pay the most for. At the same time the choice model for Ontario, a model of actual purchases across time with the type of egg as the dependent variable, suggests that consumers are willing to pay the most for ‘normal’ eggs with Free run and Organic close behind. Overall, as we look more closely at the relative ranking of specialty eggs, at the mean of all variables, organic eggs are the ones all households are willing to pay the most for. In the frequency model Alberta consumers’s willingness to pay for organic eggs is closest to the normal egg and Ontario consumers would pay $1.72 relative to normal eggs. The choice model exhibits similar patterns. Free run eggs are also popular in Ontario, but less so than organic. One of the findings of the study is that there may be some misunderstanding of the relative nutritional benefits of the different types of eggs or other human health aspects of agricultural production. Health seems to be an issue in the purchase of organic eggs as much as it does in the purchase of Omega-3 eggs. Further specific research on the reasons why consumers purchase organic would allow the industry to develop better marketing tools.

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)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,121
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,154
Tête enseignante GPT0,314
Écart entre enseignants0,160 · 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

Citations21
Publié2007
Routes d'admission1
Résumé présentoui

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