Technical Efficiency, Technological Change and Output Growth of Wheat Farms in Saskatchewan
Bibliographic record
Abstract
This paper utilizes recent advances in stochastic decomposition methodology to examine the level and the driving forces of technical efficiency for an unbalanced panel data set of 100 wheat farms in Saskatchewan during the period 1987–95. The contributions of resource use and total factor productivity to the output growth of these farms are also investigated. The analysis indicates moderate levels of technical efficiency and a considerable variation of efficiency ratings among Saskatchewan farms. The ownership status, composition of labor employed, participation in crop insurance and government income transfer programs, participation in Top Management Workshops, degree of specialization, level of intensification and mechanization of production, type of land used, and the farm debts account for differences in efficiency across wheat farms. Even though the productive efficiency of the farms has been increasing over time, the results show that technological progress was the main source of productivity and output growth during the study period. L'analyse que voici fait appel aux plus récentes améliorations apportées à la méthode de décomposition stochastique pour déterminer le degré d'efficacité technique et les motivations d'ungroupe non pondéré de 100 producteurs de blé de la Saskatchewan entre 1987 et 1995. Les auteurs ont aussi déterminé dans quelle mesure l'exploitation des ressources et la productivité totale des facteurs affectent la croissance de la production dans les exploitations concernées. L'analyse révéle un degré moyen d'efficacité technique et une variation considérable du rendement chez les agriculteurs de la Saskatchewan. La variation du rendement s'explique par divers facteurs comme le type de propriété, la composition de la main‐d'œuvre, l'inscription aux programmes gouvernementaux d'assurance récolte et de transfert du revenu, la participation à des ateliers de gestion, le degré de spécialisation, le niveau d'industrialisation et de mécanisation de la production, le genre de terres cultivées et la dette de l'exploitant. Même si la productivité des fermes a augmenté au fil des ans, les résultats indiquent que le progrés de la technologie demeure la principale source d'une croissance du rendement et de la production durant la période à l'étude.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".