The effect of different factors on investment decision of enterprises in industrial parts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Attracting investment capital of enterprises into industrial parks has become an important task for countries when building and developing industrial parks to meet the economic goals of the country. To attract enterprises' investment capital into industrial parks, it is important to study what the enterprises need and whether or not they have met the needs of the enterprises. This examination was designed to analyze the factors affecting the investment decisions of enterprises in industrial parks in Vietnam whereby serving as the basis for proposing recommendations to improve the efficiency of attracting investment capital of enterprises in industrial parks in Vietnam. Research findings indicate that some factors influencing enterprises' investment decisions in industrial parks include: Local institutions, human resources, local advantages and infrastructure. Based on that analysis, the study proposes several recommendations to attract investment in industrial parks in Vietnam.
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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) | 0.000 | 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