Are There Efficiency Gains from the Removal of Natural Resource Export Restrictions? Evidence from British Columbia
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Log export bans ( LEB s) are a popular development tool utilised by developing nations with sizable endowments of timber; however, the actual impact of these policies is debatable. B ritish C olumbia has a developed forestry sector and still maintains a LEB . This trade restriction continually creates conflicts with C anada's international trade partners, including the U nited S tates. This paper examines the efficiency implications of a hypothetical removal of roundwood export restrictions in British Columbia using roundwood price and quantity data from 1995 to 2008. A time‐series econometric approach is utilised to determine supply and demand elasticities for B ritish C olumbia's roundwood. Empirical results from a vector error correction model suggest that a removal of export restrictions will generate an overall increase of approximately $347.91 million US dollars per year to B ritish C olumbia's forest economy.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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