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Assessing Consumers’ Willingness to Pay for Different Units of Organic Milk: Evidence from Multiunit Auctions

2012· article· en· W2119487659 on OpenAlexvenueno aff
Faiçal Akaichi, Rodolfo M. Nayga, José María Gil Roig

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsnot available
Fundersnot available
KeywordsCommon value auctionEconomicsVickrey auctionWillingness to payMicroeconomicsAgricultural scienceWelfare economicsHumanitiesPhilosophyBiology

Abstract

fetched live from OpenAlex

Experimental auctions are normally conducted using single‐unit auctions. In this paper, we use the multiunit Vickrey auction to assess the determinants of consumers’ willingness to pay (WTP) for organic milk in a multiunit shopping scenario. We also analyze the effect of positive and negative information about organic farming on WTP. Our results suggest that consumers are willing to pay a premium for organic milk but that this WTP decreases with the number of units purchased. Results also suggest that health issues, high price of organic foods, taste, and lack of information on organic foods are factors that influence WTP for organic milk. The type of information provided also plays a relevant role. Specifically, we found that subjects’ WTP responds positively to positive information about organic farming and responds negatively to negative information. The provision of both positive and negative information does not affect WTP. Les enchères expérimentales sont en règle générale effectuées sous un cadre d’enchères de Vickrey à une seule unité. Dans le présent article, nous avons utilisé l’enchère de Vickrey à unités multiples pour évaluer les déterminants du consentement à payer (CAP) des consommateurs pour du lait biologique dans un contexte d’achats multiples. Nous avons également examiné les répercussions que l’information positive et négative à l’égard de l’agriculture biologique a sur le CAP. Nos résultats autorisent à penser que les consommateurs sont prêts à payer un prix plus élevé pour obtenir du lait biologique, mais que ce CAP diminue avec le nombre d’unités achetées. Nos résultats autorisent aussi à penser que les aspects liés à la santé, le prix élevé des aliments biologiques, le goût et le manque d’information sur ces aliments sont des facteurs qui influencent le CAP pour du lait biologique. Le type d’information joue également un rôle important. Nous avons observé que le CAP réagit favorablement à de l’information positive sur l’agriculture biologique et défavorablement à de l’information négative. La diffusion simultanée d’information positive et négative n’influence pas le CAP.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.179
GPT teacher head0.210
Teacher spread0.032 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations71
Published2012
Admission routes1
Has abstractyes

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