Pricing, environmental governance efficiency, and channel coordination in a socially responsible tourism supply chain
Bibliographic record
Abstract
Abstract We investigate the pricing and environmental governance efficiency decisions and channel coordination of a dyadic tourism supply chain with corporate social responsibility. We consider two cases: only the theme park exhibits (environmental) social responsibility; and both theme park and tour operator exhibit social responsibility. For each case, we design a coordination mechanism. In the first case, we find that (a) if the environmental governance investment is relatively inexpensive, then the retail price, environmental governance efficiency, and sale quantity may simultaneously increase with the theme park's environmental responsibility (extra investment on the treatment of ungoverned environmental damage) under the centralized system; (b) it is more likely to achieve a win‐win outcome if the theme park cares more about the environment when the channel is coordinated; (c) the theme park's environmental responsibility enables itself to gain more coordination benefit when its negotiation power is relatively high. In the second case, we find that (a) the environmental governance efficiency or sale quantity increases with the tour operator's social responsibility; (b) both members’ profits may increase with the tour operator's social responsibility.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".