The superefficiency direction distance function and total factor energy efficiency: Evidence from the comprehensive and progressive agreement for trans‐pacific partnership (CPTPP) member countries
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This study used the superefficiency direction distance function and total factor energy efficiency to evaluate the changes in energy efficiency and total factor energy efficiency of 11 member countries of the Comprehensive and Progressive Agreement for Trans‐Pacific Partnership (CPTPP) from 2013 to 2017. Based on the results, we consider the policy implications for CPTPP members, and suggest approaches to improve the direction and range of the difference variable for aalyzing energy efficiency performance. In the selection of variables, input variables include labor force, energy consumption, and capital formation; undesirable output variables include the domestic production gross, life expectancy, and PM 2 .5 . The results show that Canada, Japan, and Mexico have the best performance in terms of energy superefficiency and total factor energy efficiency; in contrast, Chile, Malaysia, Peru, and Vietnam would benefit from improved energy efficiency. Energy efficiency can be improved by reducing labor and final energy consumption, increasing gross domestic product, and reducing PM 2.5 . However, simultaneously improving all three factors is challenging. Countries should first focus on appropriately adjusting energy policies, actively developing new energy use, improving production technology, avoiding waste, reducing PM 2.5 , and accelerating urban development to achieve optimal energy efficiency.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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