The Impact of Public Expenditure and Public Debt on Taxes: A Case Study of Jordan
Bibliographic record
Abstract
The study aimed to estimate the impact of capital expenditure, current expenditure and external and internal public debt on taxes in Jordan during the period 2001–2014. It adopted the multiple linear regression method by E-views program to study the impact of the independent variables (represented by capital expenditure, current expenditure, external and internal public debit) on the dependent variable (taxes). The statistical analysis showed a statistically significant, positive impact of both the capital expenditure and the current expenditure on taxes. The study also found a statistically significant, positive relationship between external and internal public debt on taxes in Jordan. The study presented a number of recommendations, most importantly for the public sector, taking into account the capital expenditure, the current expenditure and the external and internal public debt, which directly affect the tax increases in Jordan. There is a need to use non-traditional alternatives to finance capital expenditures instead of external public debt and internal sources, such as Sukuk Murabaha Islamic participation, to finance capital expenditure for the Government to build schools, hospitals and other government services. The Government should take into account the current expenditure of tax revenues, while capital expenditure should be covered by non-traditional means.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".