An Empirical Study on the Relations between Rural Energy Consumption and Economic Growth
Why this work is in the frame
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Bibliographic record
Abstract
By using the granger causality test and impulse response function, this paper analyzed the causal, dynamic and quantitative relations between rural energy consumption and economic growth on the basis of the data from 1980 to 2007 in China, and then drawn a conclusion that rural economic growth is the granger cause of rural energy consumption with a lag of 5 years; rural economic growth has a direct influence on the rural energy consumption. Its contribution is gradually increasing year by year, and it has already reached 22.117% at period 10. Based on this conclusion, this paper considered that the new point of rural economy should be explored; the construction of rural energy should be strengthened; the energy conservation awareness of farmers should be promoted; and the structure of rural energy consumption should be changed.
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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 | 0.001 | 0.001 |
| 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