Analysis on Efficiency and Its Influence Factors of Financial Support for Listed Companies of Guangdong New Energy Industry
Why this work is in the frame
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Bibliographic record
Abstract
The development of Guangdong new energy industry plays an important role in promoting the current process of economic restructuring in Guangdong province. As the core of modern economy, the financial system also has an important impact on the development of the new energy industry. This paper mainly employs DEA method to measure the efficiency of financial support of the new energy industry in Guangdong Province, and takes it as a core to establish an influence-factor model of financial support efficiency. Through empirical analysis, we can find the stability of Guangdong new energy industry insufficient; on the condition of indirect financing power shortage, the direct financing makes the flow of capital available, thus showing a more positive impact on the efficiency of financial support. According to the results, we should broaden the direct financing way of the new energy industry in Guangdong Province, reduce bank credit financing costs, promote diversified development of financial services, and improve the ability of the new energy industry against market risks.
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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) | 0.000 | 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