Role of Public Agriculture Spending on Performance in sub-Saharan Africa: A Channel-Based Analyses
Bibliographic record
Abstract
African heads of state have made several commitments to make the functioning of the agriculture sector sustainable. The two most prominent of these commitments are the Maputo and Malabo declarations. The Maputo declaration stated that country should allocate at least 10 percent of the total fiscal expenditure so as to attain 6 percent agricultural growth. This study investigates the effects of public agriculture spending on agricultural output. This was conducted through the effective quality channels of public agriculture spending such as credit budget channel, research budget channel, fertilizer consumption channel and energy budget channel in sub-Saharan Africa. The study was essential has very limited studies have examined the effects of agriculture public spending to feeding sub-Saharan Africa. The paper adopted the system generalized method of moment to control for endogeneity, simultaneity, and reverse causality. The findings show that public spending enhances agriculture performance to feed SSA without considering the effects of identified channels, however this relationship is weak. The paper concludes that private subsidization of fertilizer should not be the major priority of the SSA governments; but the more essential agricultural sector policies should focus on: providing infrastructures such as energy railing, connecting road networks; and research and development.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".