Short and Long-term Asymmetric Farm-Retail Price Transmission Analysis in the Canadian Agri-food Industry: Evidence from Dairy and Pork Sectors with Threshold Cointegration Models
Bibliographic record
Abstract
Empirical studies show that market concentration and pricing policies regulation have an important impact on price transmission. These factors lead to an asymmetric price transmission, particularly in agricultural commodities markets. This paper investigates farm-retail price transmission along the Canadian dairy and pork values chains using Threshold Autoregressive, Momentum Threshold Autoregressive, Error Correction Models and Granger causality test. Using monthly price data, we found that farm-retail price transmission is asymmetric in short and long-term between raw milk and butter price while it is symmetric in the cheese case. In the pork sector, price transmission is asymmetric in long-term and symmetric in short-term between farm price and respectively pork chops and bacon prices. Because of processor and retailer concentration, consumer prices respond more quickly to upward than downward of farm prices. The processors, retailers and distributors concentration along the value chain in Canadian dairy and pork sectors and the supply management regulation policies as well as income stabilization insurance program are the main factors generating this market structure. Consideration of the characteristics of farmers, processors, and retailers in the value chain and the actors’ potential reactions to the agricultural policy could better protect consumers and producers from market distortion.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".