Role of Fiscal Policy in Tackling the HIV/AIDS Epidemic in Southern Africa
Bibliographic record
Abstract
Three countries in southern Africa have the highest adult HIV prevalence in the world: Swaziland (25.9 per cent), Botswana (24.8 per cent), and Lesotho (23.6 per cent). Fiscal policy is crucial for addressing this HIV/AIDS crisis. Utilizing a calibrated model, this paper investigates the impact of fiscal policy on reducing the HIV/AIDS incidence rates in these countries. In particular, we studied the welfare impact of different taxation and debt paths in these countries in reducing the HIV/AIDS prevalence rates. This is particularly important given the current concerns about dwindling foreign aid (especially the global AIDS fund), and the fiscal deterioration and sustainability in these countries. Our results show that, acting optimally has not only a positive societal welfare effect but also positive fiscal effects. For example, it will alleviate the debt burden by 5 per cent, 1 per cent and 13 per cent of the GDP, respectively for Botswana, Lesotho and Swaziland by the year 2020. Thus, at a time of fiscal crisis in developed countries and dwindling international HIV/AIDS resources, the future of effective and efficient HIV/AIDS intervention in Africa is clearly domestic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".