Evaluate Factors Affecting Night-Time Economy Development: Evidence from Rural Ninh Binh, Vietnam in the Context of Sustainable Tourism Strategy
Bibliographic record
Abstract
This study aims to systematically examine the theoretical framework and empirical findings pertaining to the determinants of the night-time economy's expansion within the context of improving sustainable tourism.By using a sample of 325 businesses, the study evaluates the factors influencing night-time economy development in rural by using the regression model.Besides, the study also uses quantile regression to find the impact at different points of district management variable in the conditional distribution of night-time economy development in rural like Ninh Binh, Vietnam.The findings indicate that district management (0.543), infrastructure (0.604), policy (0.134), vulnerability (0.199) and associations and support services (0.026) exhibit a positive impact on the growth of night-time economy in rural Ninh Binh.Against the aforementioned background, this research proposes strategies to promote the expansion of the night-time economy in response to the sustainable tourism strategy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".