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Seemingly Competitive Food Retail Regulations: Who Do They Really Help?

2009· article· en· W2068756824 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConcurrenceDistribution (mathematics)Food industryBusinessEconomicsHumanitiesWelfare economicsPolitical scienceMathematicsArt

Abstract

fetched live from OpenAlex

The food distribution and retail sectors in Quebec are highly concentrated and integrated as large food distributors are also involved in food retailing. As such, they are competing with small grocery and convenience stores they sell inputs to. A review of the industry suggests that there are important economies of size in distribution, but that smaller stores offering convenience face a more inelastic demand. Concerns over the survival of smaller stores in Quebec have motivated two types of regulations. The first type aims at reducing the cost advantage of dominant retailers by restricting the number of employees that they are allowed to use during specific time periods. The second type restricts retail prices. We develop a simple model capturing the main features of the industry to ascertain the impact of these regulations on retail and wholesale prices. Our results suggest that these regulations reduce welfare and may induce both tighter margins and lower surplus for small retailers. Au Québec, les secteurs du commerce de détail et de la distribution des aliments sont fortement concentrés et intégrés puisque les grands distributeurs d’aliments sont aussi engagés dans le commerce de détail. À ce titre, ils font concurrence aux petites épiceries et aux dépanneurs qu’ils approvisionnent. Un examen de l’industrie autorise à penser qu’il existe d’importantes économies de taille dans le secteur de la distribution, mais que les petites épiceries de dépannage sont confrontées à une demande plus inélastique. Les inquiétudes entourant la survie des petites épiceries au Québec ont motivé deux types de règlements. Le premier vise à diminuer l’avantage de coût des détaillants dominants en limitant le nombre d’employés pendant certaines périodes spécifiques. Le deuxième vise à limiter les prix de détail. Nous avons élaboré un modèle simple qui renferme les principales caractéristiques de l’industrie pour évaluer les répercussions de ces règlements sur les prix de détail et de gros. Nos résultats portent à croire que ces règlements diminuent le bien‐être et peuvent entraîner un resserrement des marges et une diminution des surplus des petits détaillants.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.165
Teacher spread0.137 · 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