Impact of Tourism Sector on Gross Domestic Product Growth in Jordan
Bibliographic record
Abstract
This study investigates the impact of development of tourism sector on GDP growth rate in Jordan by depending on annual statistics for the period (2010 – 2017); as receipts of tourism sector percentage to exports, arrivals of tourists and expenditures of tourism sector percentage to imports are independent variables, while growth rate of GDP (an indicator of economic growth), is a dependent variable. This paper begins with theoretical studies that analyze the impact of development of tourism sector on GDP growth rate, and empirical studies to analyze this impact. After that, it analyzes the impact of development of tourism sector on GDP growth rate in Jordan by depending on annual statistics for the period (2010 – 2017) by depending on ordinary least squares method by SPSS version. The study finds insignificant impacts of receipts of tourism sector percentage to exports and arrivals of tourists on GDP growth rate in Jordan by depending on annual statistics for the period 2010 to 2017, but there is a negative and significant impact of expenditures of tourism sector percentage to imports on GDP growth rate in Jordan by depending on annual statistics for the period 2010 to 2017. The study recommends decreasing expenditures of tourism sector due to their negative impacts on GDP growth rate.
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.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".