Permit sellers, permit buyers: China and Canada's roles in a global low-carbon society
Why this work is in the frame
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Bibliographic record
Abstract
The challenge of creating a global low-carbon society is examined from the perspectives of a slow-growing but highly developed economy (Canada) and a fast-growing developing economy (China). Both countries' responses are compared to a similar carbon price schedule (US$10/tCO2e in 2013 rising exponentially to $100 by 2050) using a hybrid technologically explicit and behaviourally realistic model with macroeconomic feedbacks (CIMS). Then additional measures are imposed based on the national circumstances of each country; for Canada we simulate a 50% reduction by 2050, and stabilization for China. The scale of the challenge in all cases requires that every available option be vigorously pursued, including energy efficiency, fuel switching, carbon capture and storage, and accelerated development of renewables; to compensate, there are significant co-reductions of local air pollutants such as SOx and NOx. Finally, the abatement cost schedules of China and Canada are compared, and implications considered for carbon permit flows if the cost schedule of the rest of the developed world is assumed to be similar to that of Canada. We found that the developed world and China could collectively reduce emissions by 50% in 2050 at a price of $175/tCO2e, with permits flowing from the developed countries to China; while abatement costs are lower in China up to $75/t, at higher prices reductions are less costly in the developed world. Our results indicate that a global low-carbon society is feasible, on condition that policy makers are willing and able to impose long-term, credible policy packages with carbon pricing policy as the core element, coupled with supplementary regulations to address market failures.
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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) | 0.001 | 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