Public Policy of Green Practices by Restaurants and Hotels: Case of Ecotourism in Ranong Province, Thailand
Bibliographic record
Abstract
The objective of this study is to highlight the public policy of green practices for hotels and restaurants in Ranong city of Thailand. Along with the public policy of green practices, this study also discussed the green product promotion and green innovation. A questionnaire was used for data collection. Total 420 valid responses were used for data analysis. Results of the study shows the public policy green practices such as environment friendly products, adjustable temperature control in restaurants and hotels, electrical vehicle charging stations and waste management has positive effect on environmental safety. These practices increase the environmental safety in Ranong city of Thailand. Moreover, environment friendly products, adjustable temperature control in restaurants and hotels, electrical vehicle charging stations and waste management has positive role to enhance green product promotion and green innovation. Increase in the green practices increases the green product promotion and green innovation. Finally, green product promotion and green innovation shows positive influence to enhance environmental safety.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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".