Market Behavior in Land Value According to Water Accessibility - Case Study: Three Rural Properties in México
Bibliographic record
Abstract
Water availability is a key factor for rural properties in semiarid areas. Urbanization, industrial, droughts and climate change are reducing water for agriculture. As accessibility declines, water becomes a critical factor defining the price of land. Pricing rural land generally includes several factors. However, water is not considered an explicit factor in the existing valuation methods. The objective of this study was to evaluate the differential cost of rural land due to the availability of water, by considering at different methods that are used to value rural properties in Mexico: valuation of physical mass appraisal, comparable method, profits productivity method, and income capitalization method. The study was carried out in three sites of semiarid Central Mexico: El Toreador, Luz de María and Zamarripa, all located in the State of Guanajuato. The results indicated that the price of land decreased strongly, due the lack of water availability independently of the valuation method used. The decrease in land price is also linked to other factors, such as the market value and location.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".