The economic impact of the mountain pine beetle infestation in British Columbia: provincial estimates from a CGE analysis
Bibliographic record
Abstract
The mountain pine beetle (MPB) epidemic in British Columbia (BC) peaked in 2004 and 2005, and by 2012, >53 per cent of the merchantable pine had been attacked. The annual kill has declined steadily since 2005 and is projected to continue to do so. However, given the significant amount of beetle killed wood, the timber supply is expected to fall dramatically in the coming decades. This study estimates the future provincial economic impacts of the MPB infestation in a dynamic computable general equilibrium (CGE) model, by examining the effects of the reduction in timber supply from BC forests over the 2009–2054 period. Results suggest that there will be a cumulative present value loss of $57.37 billion (or 1.34 per cent) in GDP and a $90 billion decline in welfare (compensating variation) from 2009 to 2054 in BC. These estimates emphasize the significance of negative economic impacts that may be in store for the economy in this, and potentially other provinces, and can be used to help policy-makers better understand the net benefits of adaptation options geared towards reducing the spread of such pests.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".