The Impact of a Revenue-Neutral Carbon Tax on GDP Dynamics: The Case of British Columbia
Why this work is in the frame
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Bibliographic record
Abstract
We study the impact over time of revenue-neutral-designed carbon taxes on GDP in the Canadian province of British Columbia (B.C.). The tax is broad-based, and all rate hikes and their timings were pre-announced. Our time series approach accounts for these pre-announcement effects, as well as for the possible saliency of the tax. Estimated impulse response functions and statistical comparisons of GDP dynamics in the presence and (counterfactual) absence of carbon taxes lead to the same result. Overall, revenue-neutral carbon taxation has no significant negative impacts on GDP. Our setup also allows us to examine the extent of the carbon tax pass-through into energy prices. We find that pass-through is complete. We conclude that implementing revenue-neutral carbon taxation contributes to lowering harmful greenhouse gases into the atmosphere without hurting the 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it