Homestays as Catalysts for Local Economic Growth and Environmental Conservation: A Study of Selangor and Perlis
Bibliographic record
Abstract
This study explores the role of homestay tourism in promoting local community welfare, cultural heritage, and environmental sustainability in Selangor and Perlis, Malaysia. The study used quantitative designs to collect data through a questionnaire survey, utilising a simple random sampling technique. The data was distributed to 200 homestay guests, but only 106 responses were collected and usable. This study uses descriptive analysis to convey the findings effectively. The survey conducted among homestay guests assesses several factors, including the economic impact of homestays, their accessibility, the promotion of local culture, and their contribution to environmental awareness. Results indicate that homestays significantly contribute to the local economy by generating income for host families, with both regions reporting a strong belief in the value-for-money homestays offered compared to other accommodations. Guests also view homestays as platforms for promoting local products, delicacies, and cultural traditions, highlighting their role in preserving and sharing regional heritage. Furthermore, homestay tourism in both states is seen as encouraging environmental awareness and fostering a love for nature, with eco-tourism practices being emphasised by hosts. However, the study reveals areas for improvement, particularly in terms of accessibility for people with disabilities, with some respondents indicating that homestays lack necessary facilities for disabled individuals. Selangor is noted for its proximity to natural resources and environmental attractions, making it a popular eco-tourism destination, while Perlis has fewer homestays near such attractions. Homestays in both regions provide economic, cultural, and ecological benefits. However, there is potential for further development in improving accessibility and expanding eco-tourism offerings, particularly in Perlis, to enhance the sustainability of homestay tourism in the future.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".