Canada's Beef Cattle Industry: Exchange Rates, Price Pass-Through and Feedlot Profitability Under Different Production Systems
Bibliographic record
Abstract
This thesis examines two issues from different perspectives of Canada’s beef cattle industry. The first study undertakes the analysis of the exogenous variable’s threshold effect on the domestic price pass-through across the different market levels. The study employs a 3-step analysis: first, a threshold test to detect threshold effect of variable, in this case, exchange rate, on domestic price transmission pattern; second, the threshold autoregression (TAR) model to find the threshold value; and third, the threshold ECM to estimate the short-run adjustments of the farm level price and the wholesale level price regarding to any deviation from the long-run relationship. The results suggest that the trade-oriented variable, exchange rate, exerts threshold effect inducing two regimes. Furthermore, in each regime, farm level producer and wholesale level producer coordinate with each other regarding prices in different patterns. The second study examines the impact of production systems on cattle carcass quality and determinants of cattle feeding profitability. It assigns a unit price to each cattle based on its carcass characteristics with the guidance of Canadian Beef Grading System and calculates profit with the grid-based price. The study applies a three-part analysis. First, ordered logit model is built to investigate the probability of cattle carcass falling into different grades. Second, ordinary least square (OLS) regression model is estimated to examine the effect of production variables on the cattle feeding profitability. Third, simulation methodology is applied to generate expected profit; then break-even analysis is conducted. This study also takes price risks into account by conducting the last two analyses in typical input and output price scenarios. The results indicate that cattle’s breed composition, hormone growth promotants, ractopamine treatment, and diet exert impacts on cattle carcass’ grade outcome and cattle feeding profitability in different price scenarios.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".