EU, Colombia, Peru and Ecuador's Free Trade Agreement: a sustainable relationship?
Bibliographic record
Abstract
After a challenging negotiating process launched in 2007, the European Union (EU) signed and applied a free trade agreement (FTA) with Colombia, Peru, and Ecuador. Assessments provided by the EU institutions revealed that this agreement would produce positive welfare effects mainly to the classic EU secondary and tertiary (machinery, transport equipment, and services) and Andean primary (fruit and vegetables) export sectors. At the same time, criticisms have been raised concerning the agreement: the economic asymmetry between these economies, the projected small welfare gains, and environmental issues, among others. Furthermore, while there is clarity about the negligible impact of the agreement on the EU output and employment, there is a lack of clarity surrounding the effects on these Latin American economies. Indeed, the agreement nature seems to be promoting the persistence -or even the deepening- of the technological dependence and the primary structure of these developing economies. Therefore, this paper analyses, from a qualitative and quantitative perspective, whether this FTA would be a contributing factor to either reinforcing a sustainable development process or increasing the Andean region's economic, political, and social instability. The paper claims an EU's exhaustive analysis of the agreement's effects on its trade counterparts. When an EU FTA encourages a long-run income convergence process, then the sustainability of the trade relationship may not only be strengthened but also expanded to other sectors and dimensions. Therefore, the critical negative ramifications of an EU- FTA on the counterparts should be identified and minimised through a flexible and compensation public policy according to the asymmetries among countries and within them. This «Good Samaritan» trade approach could be an effective way to protect EU citizens by projecting and expanding EU values and interests around the world. Moreover, this sustainable approach could be a key differentiator factor in the strategic trade negotiations with other regions compared to the USA, Canada, and China.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 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".