An economic analysis of production efficiency: Evidence from Irish farms
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.
Bibliographic record
Abstract
Abstract The objective of this paper is to investigate the economics of production efficiency of dairy farms, with a specific focus on the role of agricultural policy. Our analysis is based on a representative sample of Irish dairy farms, ranging from 2000 to 2018, which includes a period of major change in EU dairy policy. Based on a multi‐input multi‐output production system, we first estimate technical, allocative, scale and scope efficiencies. We find significant heterogeneity in technical and allocative efficiencies, which change over time. We also calculate shadow prices of milk quota, which suggest that milk quotas restricted many farmers and limited their ability to produce milk. Finally, we explore determinants of technical, allocative, scale and overall inefficiencies using random panel‐data censored regression. We find that subsidies are positively associated with farm efficiency, but the effects vary over distinct quota abolition periods. Overall, our empirical findings indicate that agricultural policy had important effects on the managerial effectiveness of farmers.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.000 |
| 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 it