The Impact of Epidemic on the Trans-Pacific Container Liner Shipping Market: A Game of the Supply and Demand
Bibliographic record
Abstract
Since January 2020, the global novel coronavirus epidemic (referred to as the epidemic) has raged. Countries around the world have "suspended" most economic activities in order to prevent the spread of the epidemic. As a result, the global supply chain is severely disrupted, causing global inflation to rise. Freight rates on the trans-Pacific route from North America to the Asia-Pacific region continued to skyrocket, surcharge items increased, and delivery events were extended. Based on the analysis of the current situation of the impact on the trans-Pacific supply chain, the paper uses the data of the growth rate of Sino-US trade volume as a "pay off" sample to establish a supply-demand game model for container liners on the trans-Pacific route under the background of the epidemic. Under the dynamic assumption of incomplete information, a Bayesian refined Nash equilibrium is obtained. Finally, the paper uses the Bayesian refined Nash equilibrium model to analyze the trend of container liner shipping rates on trans-Pacific routes under the background of the epidemic.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".