The Role of Development Aid in Agriculture in the Common Market for Eastern and Southern Africa: A Panel Vector Autoregression Analysis
Bibliographic record
Abstract
This paper assessed the impact of foreign aid on agricultural productivity and growth in the Common Market for Eastern and Southern Africa (COMESA), using panel vector autoregressive methods. The results show a significant unidirectional causality from agricultural growth to foreign aid and thus confirming the theoretical dispositions of the developmental role of foreign aid. However, instead of complementing domestic resources in this regard, the results showed that foreign aid in the sector substitutes government financing, which effectively reduces its effectiveness. A mismatch in government resources and aid allocations to a sub-sector erodes the synergy that should typically exist between donor aid and government expenditure in a sector. A policy shift towards Result-Based (Aid on Delivery) approaches in aid disbursements will be critical to eliminating fungible resources. Misalignment of aid allocations that are inconsistent with the relative importance of subsectors in the sectoral development goals further undermines the potency of aid. A better understanding of the contribution of the various sub-sectors to the overall growth of the agriculture sector will be crucial for equitable resource allocation and enhanced aid effectiveness. Moreover, the higher impact of domestic resources compared to foreign aid calls for policies to increase domestic resource mobilization and a broader focus on reducing aid dependency.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".