The Effect of Number of Visitors, Tourist Destinations, Hotel Room Tax and Accommodations on Original Local Government Revenue: Case Study West Sumatra Province, Indonesia
Why this work is in the frame
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Bibliographic record
Abstract
This research aims to discover 1) The effect of number of domestic visitors on Original Local Government Revenue (OLGR) 2) The effect of number of foreign visitors on OLGR 3) The effect of number of tourist destinations on OLGR 4) The effect of restaurant tax on OLGR 5) The effect of hotel room tax on OLGR 6) Number of accommodations as a moderating variable for relationship hotel room tax and OLGR. The study population consisted of 12 regencies and 7 municipalities. The sampling technique uses purposive sampling. The selected sample is considered the most appropriate to represent tourism according to Tourism Office of West Sumatra Province. The selected sample is 3 municipalities and 2 regencies. Data source obtain from Central Bureau of Statistics (BPS) West Sumatra Province. Data analysis consisted of statistical descriptive analysis, model estimation test, classical assumption test, coefficient of determination test, F-test and t-test. The results show 1) The number of domestic visitors has a positive and significant effect on OLGR 2) The number of foreign visitors has a positive and significant effect on OLGR 3) The number of tourist destinations has a positive and significant effect on OLGR 4) Restaurant tax has a positive and significant effect on OLGR 5) Hotel room tax has a positive and significant effect on OLGR 6) Number of accommodations show evidence as a moderating variable for relationship hotel room tax and OLGR.
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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 | 0.001 |
| 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 it