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Record W2801746981 · doi:10.1111/cjag.12171

Congestion and Distribution of Rents in Wheat Export Sector: A Canada–U.S. Cross‐Border Comparison

2018· article· en· W2801746981 on OpenAlex
Devin Allen Serfas, Richard Gray, Peter Slade

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 · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEconomic rentCompetition (biology)EconomyEconomicsGeographyWelfare economicsAgricultural scienceAgricultural economicsMarket economy

Abstract

fetched live from OpenAlex

Abstract In Canada, average grain freight rates are regulated via the Maximum Revenue Entitlement (MRE), while on the US side of the border grain rates are subject to very little oversight. We use this natural experiment to explore how the MRE regulation has impacted freight rates and the distribution of rents in the wheat supply chain since 2012. On both sides of the border, when large crops have exceeded the short‐term capacity of grain export channels to move the crop, export basis has increased and reduced producer prices. In locations not subject to barge competition, US grain freight rates are higher than Canadian rates and are bid up further during periods of congestion. In Canada, MRE regulation redistributes rents away from railways toward grain companies and producers. These higher grain handling margins have increased the incentives to build additional port terminal capacity in the post‐CWB single desk environment. Au Canada, les tarifs marchandises moyens des céréales sont règlementés par le Revenu admissible maximal (RAM), tandis qu'aux États‐Unis, les tarifs céréaliers font l'objet de très peu de suivi. Au moyen de cette expérience naturelle, nous explorons l'impact du RAM sur les tarifs marchandises et sur la distribution des rentes dans la chaine d'approvisionnement du blé depuis 2012. Des deux côtés de la frontière, lorsque de vastes cultures ont excédé la capacité à court terme des voies d'exportation céréalières pour distribuer leurs récoltes, le seuil d'exportation augmente et réduit les prix des producteurs. Là où ils ne sont pas assujettis à la compétition de barges, les tarifs marchandises céréaliers américains s'avèrent plus élevés que les tarifs canadiens et se voient encore surenchéris lors de période de congestion. Au Canada, la règlementation du RAM redirige les rentes des compagnies ferroviaires aux entreprises et producteurs céréaliers. Ces marges de manutention plus élevées ont augmenté les incitatifs pour accroître la capacité des ports‐terminaux dans un environnement à pupitre unique, post Commission canadienne du blé.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.196
Teacher spread0.177 · 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