Water Footprint Analysis Under Dual Pressures of Carbon Mitigation and Trade Barrier: A CGE‐Based Study for Yangtze River Economic Belt
Bibliographic record
Abstract
Abstract Facing the dual pressures of carbon mitigation and trade barrier, it is desired that variations of water footprints (WFs) with the related policy interferences be investigated in Yangtze River Economic Belt (YREB). In this study, a factorial equilibrium WFs model is developed to (a) tackle the interactive effects (on blue‐ and gray‐WFs) of different policy alternatives presented as multiple levels of carbon tax and import tariff; (b) explore the variations of blue‐ and gray‐WFs in specific socio‐economic sectors under multiple scenarios of the dual pressures; and (c) investigate the provincial WFs from the perspective of commodity consumption. It is found that increased import tariffs can boost the WFs of primary energy and resource‐conversion sectors, and can promote inter‐sectoral virtual‐water exchanges; carbon tax can suppress the WFs for most of the sectors, and can result in entirely declined industrial production. Moreover, carbon tax can lead to reduced water productivity in YREB, and thus exacerbate water shortage. Through this research, desired policies for water‐footprint management policies could be identified with maximized socio‐economic and environmental benefits.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".