Import quotas, tied aid, capital accumulation, and welfare
Bibliographic record
Abstract
Aid conditional on the purchase of an imported capital good increases the supply of, and demand for, the good. Examining the effects of tied aid on capital accumulation, the current account, and welfare, we find that two resultant conflicting forces render the price of the capital good indeterminate. If the demand pressure is larger than the supply response, the capital stock increases at the expense of the current account and welfare improves. Alternatively, if the demand pressure is less than the supply response, capital is reduced. This may be detrimental to welfare. JEL Classification: F35, F11 Contingentement à l'importation, aide liée, accumulation et bien‐être. Une aide conditionnelle accordée pour l'achat d'un bien importé accroît l'offre et la demande de ce bien. En examinant les effets d'une aide liée de ce type sur l'accumulation du capital, le compte courant et le niveau de bien‐être, les auteurs montrent que deux forces contradictoires rendent le prix du bien capital indéterminé. Si la pression sur la demande est plus grande que la réponse du côté de l'offfre, le stock de capital s'accroît au détriment du compte courant, et le niveau de bien‐être s'accroît. D'autre part, si la pression en provenance de la demande est moindre que la réponse du côté de l'offre, le stock de capital est réduit. Cela peut entraîner une réduction du niveau de bien‐être.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.001 |
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".