A Comparative Analysis of Effective Free Trade Zone Policies in Ghana: A Model from Shanghai Free Trade Zone
Bibliographic record
Abstract
The importance of export promotion contribution to the growth of a country’s economy cannot be underrated. It is well-established that, encouraging volumes of exports and/or value of exports results in the increase in the export of a country leading to an increase in earnings of foreign exchange and further results in economic boost of a country. A comparative analysis of effective Free Trade Zone Policies in Ghana using China (Shanghai) Pilot Free Trade Zone (“SHFTZ”) as a model has been done. Desktop research was used to analyze the data. It was found that there has been year on year increase in the number of companies registering with the Ghana free zones. On the average, there have been about 15% contribution to the gross export of Ghana. The China (Shanghai) Pilot Free Trade Zone (“SHFTZ”) contributed 5.68%, 13.2%, 15.2% and 22.9% from the first quarter after the inception of the FTZ, at the end of 2014, 2015 and 2016 respectively to the GDP of Shanghai.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".