Is Commodity Storage an Option for Enhancing Food Security in Developing Countries?
Bibliographic record
Abstract
Abstract We revisit the underlying economics of commodity storage and its relation to food security by first clarifying the standard model used to analyze the economic efficiency and distributional effects of commodity storage programs. We find that producers prefer stabilization, although their incomes are more variable, while consumers are indifferent. However, numerical simulations indicate that physical stocks will build up inexorably over a sustained period or the government will need to raise prices continuously over a prolonged period. For the least developed countries facing fluctuating world prices, government should guarantee the price received by producers because, with price uncertainty, farmers could experience losses even under a ‘good’ weather outcome; this would guarantee the producer price, benefitting farmers, while allowing the consumer price to vary with the world price benefits consumers as they prefer price instability. In some cases, however, the government may wish to impose a price ceiling so that households living at or near subsistence can afford to buy grain – an argument based on the grounds of food security. Numerical simulations indicate that such a mixed-price policy increases the wellbeing of both consumers and producers. Physical storage is not a necessity.
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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 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".