The Value of Brand and Convenience Attributes in Highly Processed Food Products
Bibliographic record
Abstract
Researchers have long sought to better understand consumer preferences for various packaged foods and their attributes. Beyond price and taste, brand names, convenience, and increasingly diet‐health‐related cues are regarded as key attributes in attracting consumer demand. This paper applies a hedonic pricing model to a large panel of consumer packaged food products to estimate monetary value of brand, convenience, and other quality attributes in processed meat and seafood products using 2000–06 Nielsen aggregate weekly scanner data. We find evidence of consumer preferences for perceived “natural” and health attributes over products with higher degrees of processing. The results further indicate that the process of adding value to food products is intricate and dependent on multiple other indicators of product quality, not least health. As such, frozen natural chicken and seafood products may be considered by certain consumers as substitutes for fresh meat and seafood. This finding may carry further implications for the pricing and marketing of lower‐value products. Les chercheurs tentent depuis longtemps de mieux comprendre les préférences des consommateurs pour divers aliments emballés et leurs attributs. Outre le prix et le goût, la marque, l’aspect pratique et les logos santé sont considérés comme d’importants attributs pour accroître la demande des consommateurs. Dans le présent article, à l’aide de données scanographiques agrégées hebdomadaires obtenues auprès de Nielsen pour la période de 2000 à 2006, nous avons appliqué un modèle hédonistique des prix à un large éventail de produits alimentaires de consommation courante pour estimer la valeur monétaire de la marque, de l’aspect pratique et d’autres attributs de qualité dans le cas de produits de viande et de la mer transformés. Les résultats indiquent que les consommateurs ont une préférence pour les produits dits « naturels » et « santé» par rapport aux produits hautement transformés. Les résultats indiquent également que le processus d’ajout de valeur aux produits alimentaires est complexe et tributaire de nombreux autres indicateurs de qualité, y compris la santé. Certains consommateurs considèrent même les produits de la mer et le poulet naturel surgelés comme des substituts de viande et de produits de la mer frais. Cette observation peut avoir des incidences sur l’établissement des prix et la commercialisation de produits de faible valeur.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".