Economic Efficiency of the International Port System: An Analysis through Data Envelopment
Bibliographic record
Abstract
In this paper based on the methodology of analysis of Data Envelopment (DEA), the overall technical efficiency was determined, as the allocative efficiency and the economic efficiency for the 32 ports that handled the greater number of TEUs in the international context for 2012 according with the study of World Shipping Council (2014) and Manzanillo port that is the most representative of Mexico´s ports this indicator. The results shows that in general for 2012, most of the ports were characterized by low levels of economic efficiency, with the exception of Kobe, Japan; Tianjin, China; Hong Kong, China; and Shanghai, China that were efficient for this year. While the ports of Rotterdam, Netherlands; and Bremen-Bremerhaven, Germany distinguished themselves as the most inefficient. Regarding Manzanillo port, Mexico, was placed in an intermediate position reaching a value of 50.82 percent of economic efficiency.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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 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".