Factors affecting renewable energy supply chain link: A case of solar power in Vietnam
Bibliographic record
Abstract
Solar power is a mature and fast-growing field based on single crystal silicon wafer technology. Although China, Europe and the US are the main markets, 80 percent of the modules are manufactured in Asia. In Vietnam, modules are manufactured in collaboration with Chinese and American manufacturers. In 2017, there were 5 GW of solar panels produced in Vietnam, accounting for 7% of the global market. The domestic solar market is expected to peak at around 1.8 GW/year according to the targets set out in the revised PDP 7. The domestic module production capacity, currently devoted entirely to export, is around 5.2 GW/year, three times the expected maximum capacity of the domestic market. In that context, due to the normal size of factories, only a few parts factories can sell to the domestic market, while the majority still must rely on exports. But it is important to map out a clear roadmap for 12 GW of solar power that will encourage the formation of EPC companies and other domestic service companies in Vietnam to build factories according to the plan. Construction, operation, maintenance, and production for the domestic market has the potential to increase Vietnam's GDP by about 0.25% by 2030 and create more than 25,000 jobs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".