Attracting Investment Capital to Help Develop the Economy of Countries in General and Attractive Localities in Particular
Bibliographic record
Abstract
Attracting investment capital to help develop the economy of countries in general and attractive localities in particular. This study was carried out to evaluate the impact of the distribution of local attributes on attracting investment capital in the Thai Nguyen province of Vietnam. The research method is conducted through quantitative analysis with 150 enterprises surveyed in the locality. With multivariable analysis technique (reliability test, PLS-SEM model analysis) on Smart-PLS version 3 software. Research results from 150 business enterprises in Thai Nguyen (a province of Vietnam). Vietnam) shows that all four groups of local attributes influence investment decisions in the area as well as investor satisfaction: (1) investment incentives; (2) government support; (3) skill training; and (4) living environment. From the results of this study, the authors make some recommendations to help Thai Nguyen province better attract investment capital based on appropriate local resource allocation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".