Efficiency losses in milk marketing boards - the importance of exports
Bibliographic record
Abstract
A milk marketing board (MMB) is a legislatively specified compulsory marketing institution, and a common way to regulate markets for dairy products. MMBs are based on price discrimination. As price discrimination leads to unequal profitability between products, receipts from sales are pooled and farmers receive a single price adjusted for composition and quality. It is well documented that price discrimination through MMBs incurs an efficiency loss to the society. Earlier contributions, Ippolito and Masson (1978) and Serck-Hansen (1979), point out that a particularly high loss is incurred if export of dairy products is included in the MMB. It proves difficult to find examples where this is the case. MMB countries are either large with a low export share in dairy products (USA and Japan), have economies of scale (Australia) or exports are excluded from the MMB arrangement (Canada). However, we find Norway to be a good example. Using a numerical model of the Norwegian agricultural sector we show that substantial efficiency gain may be achieved by deregulating the dairy sector, mainly due to the elimination of exports. It is estimated that a transition to cost based pricing may increase the economic surplus by NOK 1.5 billion, which is 26% of the production value. This computed gain from deregulation is far larger than for the other MMB-countries.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".