Simulating the impact of a carbon tax on food in four European countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Since agriculture is responsible for a considerable share of anthropogenic greenhouse gas emissions (GHGE), this paper examines the impact of various carbon taxes designed to incentivize environmentally friendly food consumption patterns in four European countries: Finland, Italy, Sweden, and the UK. As the proposed fiscal policies are likely to affect food consumption patterns, the study also assesses the consequent changes in diet quality and welfare. The results from this analysis reveal considerable variations in the reduction of GHGE across countries and tax schemes. While most taxation schemes have only a modest impact on dietary quality, these effects differ among nations. Additionally, the welfare cost of the compensated scheme is relatively small but not insignificant. These findings raise questions about the efficacy of a common European fiscal policy for climate mitigation compared to a more flexible approach where each member state calibrates the tax according to its unique circumstances.
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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) | 0.001 | 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