Role of Fiscal Rules and Institutions on Fiscal Sustainability and Growth: Policy Options for Zimbabwe
Bibliographic record
Abstract
The paper investigated the significance of fiscal rules and fiscal institutions, with the objective of achieving fiscal sustainability and growth in Zimbabwe. Zimbabwe is currently faced with unsustainable expenditures which have resulted in fiscal macroeconomic imbalances. To achieve the study goals, a case study approach has was employed. The study to strengthen its arguments for policy derivation reviewed the experiences of the United Kingdom, Australia, Japan, New Zealand, Canada, Chile, Sweden, Botswana, Cape Verde, Malaysia and Mauritius. The selected countries have achieved fiscal sustainability and growth, with sound fiscal policies through the use of fiscal rules. Fiscal rules in the form of overall budget balance rules, primary balance rules, debt rules and expenditure ceilings are key in achieving fiscal sustainability and overall economic growth. The study recommended that Zimbabwe should adopt a fiscal rule to attain fiscal stability and growth. The study also proposed that a rule be enacted to ensure successful and effective implementation of the fiscal rule.
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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 | 0.000 | 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 | 0.001 |
| 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".