Effects of Tax Incentives on Sales of Eco-Friendly Vehicles: Evidence from Japan
Why this work is in the frame
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Bibliographic record
Abstract
This study examines the effects of economic incentives on the sales of ecofriendly vehicles in Japan. We focus on the Tonnage and Acquisition Tax Cuts for Eco-Friendly Vehicles and the two waves of Eco-Car Subsidies implemented in Japan. We use the monthly sales data of 10 vehicles from April 2006 to March 2013. We find that the effects of the tax incentives were more significant than the effect of gasoline price. This is in contrast to results from the United States and Canada, where gasoline prices have had a larger effect on increasing the adoption levels of hybrid electric vehicles. The difference is due to the structure of the tax cut. Japan fs policy of taxes paid upon purchase was more effective compared to the policies in the United States and Canada, where certain tax cuts were on income taxes.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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