Assessment on Vietnam's Transport Infrastructure Development Investment under the mode of Public-Private Partnership - Proposing Solutions
Bibliographic record
Abstract
The goal of developing the country's infrastructure system, especially for underdeveloped or moderately developed countries such as Vietnam is extremely important. To become a modern industrialized country, not only Vietnam but any other countries are required to have an appropriate policy mechanism to strengthen infrastructure, attracting private investment, capital sources while public investment capital remained limited.Solutions to attract investment in infrastructure development in general and transport infrastructure in particular are expected to include perfecting laws, mechanisms and policies, management model. Those will create favorable conditions for domestic and foreign economic sectors to participate in many forms, especially completing the investment under the PPP (Public-Private partnership) model in line with international practices.After nearly 15 years of implementing PPP investment in the construction of transport infrastructure, Vietnam has initially achieved certain results, contributing to the expansion and upgrading of its current transport infrastructure system. Besides public investment capital, government bond capital, official development assistance (ODA), there are sources of investment capital from the non-state sector through PPP project contracts (mainly BOT and BT ones) which have significantly changed the transport infrastructure system in Vietnam (completion of nearly 3,000-km roads of all kinds). In the period of 2021-2025, Vietnam is projected to complete 5,000 km of expressways, in order to create a major economic breakthrough. In the context of limited public investment capital, the PPP investment form is considered the most feasible.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".