The Efficiency for the Three Industries of Provinces in China, Considering the Effects of Carbon Emission: An Application of the Parallel DEA Model
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, a parallel DEA model was established and applied to evaluate the production performance of 29 provinces from China in 2009, considering the effects of CO2 emission. Meanwhile, a CCR DEA model was also used to evaluate the efficiencies for each industry, respectively. Our calculated results reveal that: a) the production efficiency for each province is relevant to the economic development level; b) the efficiencies are of great differences between regions, i.e., the eastern coastal area is more highly efficiency than the western interior area significantly; c) the efficiency of the primary industry are higher than those of the secondary industry and tertiary industry in average, and the score for tertiary industry efficiency is of the least influences of regions.
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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 | 0.001 | 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 | 0.001 |
| 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