Expanding Irrigated Agriculture in Alberta: An Economic Impact Assessment
Bibliographic record
Abstract
This study assessed the economic impacts of Alberta’s irrigated agriculture industry as of 2011 and evaluated the economic viability of expanding the irrigated crop land by 10% within the 13 irrigation districts in southern Alberta. Results of the economic impact assessment revealed that irrigation, directly or indirectly, generated $3.2 billion to the national gross domestic product. The distribution of these benefits was 17% for producers and 83% for the province and the nation. Results of the economic viability analysis revealed that with the existing government subsidy of 75% to the irrigation rehabilitation program, investment for expansion of irrigated crop land would be economically viable for producers. However, in the absence of this effective government subsidy, the investment would be unattractive. The results are consistent with the fact that irrigation expansion is a capital-intensive project and as such its economic viability for producers is contingent upon the levels of subsidy and the opportunity costs of capital. The results have important policy implications for the provision of economic incentives for producers investing in water saving irrigation technologies.
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 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 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".