Partial social cost benefit analysis of Three Gorges Dam: impact assessment update and a greenhouse gas externality component study
Bibliographic record
Abstract
This study reviews the literature and updates qualitative and quantitative impacts based on new research and applies a partial greenhouse gas (GHG) emissions cost benefit analysis to the Three Gorges Dam Project (TGDP) in China. The results of CBA suggested a 22.305 billion dollars net present value (using Nordhaus’s 2007 optimal carbon price trajectory with assumed average social discount rate (SDR) of 4% assumptions) and a 440.324 billion dollars net present value (based on Nordhaus’s Model using Stern’s assumption with 1% SDR). This sensitivity analysis indicates that social discount rates highly affect the final results. This study extends the GHG emissions impact component by updating carbon prices and calculation methods, thereby updating the GHG component of Morimoto and Hope’s 2004 study. Although the CBA is limited to the GHG component, a review of recent literature and preliminary impact analysis provides the groundwork for a more comprehensive analysis for future study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".