Economies of Size and Total Factor Productivity in Alberta Cow-Calf Production
Bibliographic record
Abstract
This paper applies both parametric and non-parametric approaches to evaluate Economies of Size and Total Factor Productivity (TFP) in Alberta cow-calf production based on the unbalanced panel data from 196 farmers during the time period from 1995 to 2002. Under the parametric approach, a random parameter translog cost system and a translog cost frontier are constructed and estimated respectively. The results from the cost system estimation suggest that on average, cow-calf production in Alberta exhibits Economies of Size, technical progress and positive TFP. However, exploitable Economies of Size decrease over time, technical change rate and TFP even become negative at 2002. The critical problem, therefore, is how to reverse the trend and maintain good growth pattern. The translog cost frontier is also estimated but the results are unreliable. Therefore, the Non-parametric approach (Malmquist TFP index) is adopted. The results suggest that inefficiency exists in Alberta cow-calf production.
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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 | 0.001 |
| 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 | 0.001 |
| 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".