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Transaction costs in milk marketing: a comparison between Canada and Great Britain

2010· article· en· W2120460765 on OpenAlexaboutno aff
Annie Royer

Bibliographic record

VenueAgricultural Economics · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsTransaction costPoolingBusinessDatabase transactionMarketingIndustrial organizationFinance

Abstract

fetched live from OpenAlex

Abstract This study measures the magnitude of transaction costs incurred by milk producers in their contractual relations with dairy processors in two different coordination mechanisms: centralized contracting through a marketing board and decentralized bilateral contracting. Interviews and surveys were conducted to estimate transaction costs faced by producers marketing through the Québec milk marketing board in Canada and bilateral contracts in England and Wales in the United Kingdom using the measurement methodology of the cost of exchange. Our results show that the relative magnitude of transaction costs incurred by producers across both settings is quite low, which indicates that both hybrid coordination mechanisms minimize transaction costs in the dairy sector. However, results from the bilateral contracting setting indicate a strong heterogeneity of transaction costs levels among farmers. In that respect, the milk marketing board and its institutional setting would act as a collective insurance, pooling transaction costs and sharing them among producers. Our analysis leads to recommendations on bilateral contracting.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.054
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.010
GPT teacher head0.189
Teacher spread0.179 · 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

Citations49
Published2010
Admission routes1
Has abstractyes

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