China's industrial SO<sub>2</sub> emissions and its economic determinants: EKC's reduced vs. structural model and the role of international trade
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT This paper discusses the validity of the Environmental Kuznets Curve (EKC) hypothesis for the case of China's industrial SO 2 emissions: both its reduced form and structural model are considered. The EKC curve for China's per capita industrial SO 2 emissions predicts the turning point at 10,000 yuan (3,085 US$, Purchasing Power Parity (PPP)). However, given China's fast population expansion, the decreasing trend in per capita emissions may well not be enough to bring about an immediate reduction in terms of total industrial SO 2 emissions and emissions density. Using the structural EKC model makes it possible to reveal how various factors contribute to the industrial SO 2 emissions density – namely, the three commonly known structural determinants and the marginal impact of international trade. International trade proves to have a two-fold impact: a significantly negative direct one and an indirect one that is dependent on the current capital–labour abundance ratio and on the income level of each province.
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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) | 0.001 | 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