Managers' Views on Environmental Management: An Examination of the Taiwanese Airline Industry
Bibliographic record
Abstract
Air transport has made a major contribution to globalization and world economic growth. However, aircraft operations inevitably have a serious impact on the environment. Leading airlines have established policies, goals, and action plans on environmental management. This study uses a questionnaire survey to gain an understanding of the views and attitudes of airline managers in Taiwan toward environmental management. The results show that airline managers mostly have a positive and supportive attitude regarding environmental management, and believe that airlines can play an important role in environmental protection. The most important motivations for promoting environmental management are improving company image, reducing harm to the natural environment, and fulfilling corporate social responsibility, while the main obstacles to the development of environmental management are insufficient government grants, subsidies, and incentives, investment capital too high, and inadequate aviation environmental regulations. This study also reveals that the government should take a more proactive role in the development of Taiwanese airlines’ environmental management.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".