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Information Asymmetries and Consumption Decisions in Organic Food Product Markets

2002· article· en· W2127142370 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsCredence goodProduct (mathematics)Organic productCertificationBusinessOrganic certificationIncentiveConsumption (sociology)AgricultureOrganic farmingEconomicsCommerceInformation asymmetryMicroeconomics

Abstract

fetched live from OpenAlex

Organic agriculture is a rapidly growing segment of most developed agricultural economies around the world. To stimulate growth and circumvent supply‐side market failures that emerge when organic products are not segregated, governments have introduced regulations concerning the certification and labeling of organic food. While certification and labeling satisfy market demand for information provision, the introduction of these activities creates incentives for the mislabeling of conventional food as organic. Despite the incentives for, and the incidence of, mislabeling in organic food product markets, this issue has not been analyzed systematically. In fact, the possibility of mislabeling has been customarily neglected by economic studies of markets for credence goods in general. This paper addresses the issue of product type misrepresentation in organic food product markets and develops a model of heterogeneous consumers that examines the effect of mislabeling on consumer purchasing decisions and welfare. Analytical results show that, contrary to what is traditionally believed, while certification and labeling are necessary, they are not sufficient for alleviating failures in organic food product markets. The effectiveness of labeling depends on the level of product type misrepresentation. Consumer deception through mislabeling affects consumer trust in the labeling process and can have detrimental consequences for the market acceptance of organic products. When extensive mislabeling occurs, the value of labeling is undermined and the organic food market fails. L'agriculture biologique est un secteur qui prend rapidement de l'expansion dans la plupart des pays agricoles industrialisés. Pour stimuler la croissance de ce secteur et éviter les problèmes d'offre qui surviennent quand il n'y a pas ségrégation des denrées, les gouvernements ont adopté des règlements sur la certification et l'étiquetage des produits biologiques. Même s'ils satisfont la demande d'informations sur le marché, la certification et l'étiquetage ouvrent la porte à l'usage abusif du terme “biologique” sur l'étiquette des denrées ordinaires. Or, bien que les producteurs soient tentés d'utiliser le terme à tort et à travers et en dépit des incidences d'un tel comportement, le phénomène n'a jamais été analysé de manière méthodique. De fait, les analyses économiques sur le marché des denrées alimentaires, en général, négligent souvent la possibilité de fausses déclarations sur l'étiquette des produits. L'article que voici aborde ce problème sur le marché des aliments biologiques et propose un modèle qui tient compte des effets d'un étiquetage fallacieux sur les achats et le bien‐être de consommateurs hétérogènes. Les résultats de l'analyse indiquent que, contrairement à ce qu'on croit, la certification et l'étiquetage, bien que nécessaires, ne suffisent pas à atténuer les problèmes observés sur le marché des aliments biologiques. En effet, l'efficacité de l'étiquetage dépend du nombre de fausses déclarations. La déception qui résulte d'une fausse déclaration ébranle la confiance des consommateurs dans le système d'étiquetage, si bien que les produits biologiques sont mal accueillis sur le marché. Quand les fausses déclarations se multiplient, l'étiquette perd sa valeur et il devient impossible de commercialiser les denrées biologiques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.148
Teacher spread0.126 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it