Experimental Determination of Canadian Consumers’ Willingness-to-pay for Meat Packaging
Notice bibliographique
Résumé
Safety issues in the meat industry (e.g. food-borne illness outbreaks) have damaged its public image. Apart from pressure arising from public perceptions, the industry is confronted with a largely saturated consumer market for meat products continuing to demand higher product quality and greater quality assurance. A key component in achieving improved quality/ safety is the investment in technologies that foster food safety innovations. Recently, a number of technological advances have been achieved through improved meat packaging that has the potential to mitigate the threat of microbial food hazards to consumers. However, economists still lack a sound understanding of determinants of consumer behavior towards new food technologies. We focus on the analysis of consumer willingness-to-pay (WTP) for new meat packaging technologies that affect quality/ safety attributes associated with meat products. We investigate effects of color stabilization, shelf life extension and modified atmosphere packaging (MAP) on Canadian consumers’ WTP for ground beef – a staple in the North American diet. Improved meat color stability and extended shelf life can be achieved with MAP, the replacement of air with other gases (e.g. O 2 , CO 2 ) during packaging. While MAP in general extends shelf life, MAP including carbon monoxide (MAP/CO) additionally enhances meat color. MAP is favorable for consumers due to attractive meat color and increased shelf life. Meat packers benefit from cost savings arising from longer shelf life with less spoilage and economic loss due to meat color change from natural oxidation. Nevertheless, some consumer-activist groups oppose MAP/CO claiming it potentially masks product spoilage. In fact, consumers who use color as the only indicator of meat freshness and ignore expiration dates might be at risk. Thus, consumer acceptance of and WTP for MAP and MAP/CO needs to be analyzed and weighed against industry costs/ benefits in order to provide meat producers/ retailers with recommendations. We investigate for the first time consumers’ willingness to accept and WTP for shelf life extension and color stabilization of ground beef resulting from MAP and MAP/CO under different information scenarios. In 2008 we conducted choice experiments in Canada (n=205). P articipants made repeated choices between scenarios of two different ground beef packages. The experimental design included color, shelf life and price with three levels each. The attributes differed from scenario to scenario according to a fractional factorial design. In three rounds, participants received different information regarding MAP and MAP/CO. The sample was split. One half made choices between ground beef carrying MAP labels, the other half made choices between ground beef not carrying any labels. While the first sub-sample was enabled to make an informed choice the second sub-sample only received information but did not know whether the ground beef packages were packaged under a modified atmosphere - reflecting the current market situation. Mixed logit models are used to analyze the data. Our results provide recommendations regarding price premiums for extended shelf life, stabilized color and increased food safety applying MAP. Preliminary results show preferences for bright red ground beef with a 3 day shelf life and a price of $2.58/lb.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».