Assessing the Impacts of Maritime Freight Rates on Global Beef Trade
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT In this study, we examine the impact of container freight rates on global beef import demand by source. We address key questions about the effects of rising freight rates on major beef exporters such as Australia, the United States, and Brazil. Our estimates reveal varying global price and import demand effects, with significant declines in trade volume when freight rates double. The global import demand for beef from major exporters decreases by 7% (Ireland) to 27.6% (Uruguay), underscoring the critical role of transportation costs in shaping international beef trade. Countries like Argentina, Australia, Canada, New Zealand, and Uruguay experience more than a 20% decrease in global import demand with a doubling of freight rates. Interestingly, despite the proximity of the United States to major markets like China, Japan, and South Korea, beef imports from Brazil and Australia are more impacted by freight rates than U.S. beef.
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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 | 0.000 | 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 | 0.000 | 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 it