Tourist willingness to pay for local green hotel certification
Bibliographic record
Abstract
This study aims to understand tourists' willingness to pay a price premium for a local green hotel certification, and is one of only a few in the literature for small-island tourism destinations in emerging economies with their unique and pressing sustainability challenges. In a survey of 535 tourists visiting Gili Trawangan, Indonesia, facing numerous waste management and coral reef conservation issues, the willingness to pay extra for sustainable hotel services was elicited. There were five discrete pricing levels across the surveys that ranged from $0.75 USD to $7.50 USD extra per night. We examined the relationship of the respondents' payment choice to their socio-demographic attributes and attitudes regarding environmental issues such as climate change. The main findings and practical implications of the study are: (1) to demonstrate the broad willingness to pay for sustainable hotel services. Findings indicate at all price levels (between $0.75 USD and $7.50 USD), more than 50% of tourists are willing to pay. (2) To estimate a lower bound mean willingness to pay per night for a local green hotel certificate of $1.55USD and 1.34€ EUR, and (3) To identify individual attributes that influence willingness to pay. Findings indicate environmental knowledge and preferences play a role. These results can be used generally to incorporate evidence-based practices into the development of a green hotel marketing strategy, and to help define the target market for small-scale green hotel certification. Additionally, we propose a finance strategy for funding local and sustainable initiatives that support the hotel industry and the island's infrastructure through the premiums collected from the 'Gili Green Award' certificate.
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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 | 0.000 | 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 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".