Tourism, accommodation, and the regional economy in Indonesia’s West Papua
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study deals with the contribution of visitor expenditure on West Papua’s regional economy. It accomplishes three objectives: (1) to estimate the economic contribution of domestic and inbound visitor expenditure; (2) to measure the economic contribution of tourist spending at various accommodation classes; and (3) to describe the use of local commodities and labor in the regional accommodation industry. To accomplish the first and second objectives, an input-output multiplier analysis was employed. As for the third objective, interviews were conducted with 35 representatives from regional accommodation establishments. Tourism is found to contribute greatly to the regional economy, as shown from the higher overall output multiplier for tourist expenditure as compared to the regional output multiplier. The output multiplier for inbound tourist expenditure is higher than the domestic tourist. Three-star accommodations are found to be the biggest contributor with outstanding inter-sectoral impact on fisheries; food, beverage, and tobacco manufacture; and agriculture. The qualitative analysis suggests the existence of a large leakage (±90%), mainly in produce and chemicals used in daily operations. Fisheries and wood furniture are the exception. Overall, the accommodation sector absorbs a considerable extent of local labor (73%), 23% of which are Indigenous Papuans.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it