Competitive insertion of the citrus-lemon chain in global value chains in Colombia
Bibliographic record
Abstract
integration of a region with other departmental territorial entities.A few years ago, Law 1962 of June 28, 2019 was issued, which strengthens the administrative planning regions (RAP) and establishes the conditions for their conversion into a territorial entity region.Among its functions, the RAPs will be able to manage co-financing resources from the different levels of government, international cooperation and promote public-private partnerships for the development of strategic projects of the Administrative and Planning Region.The SAPR Central Region is made up of the departments of Boyac, Cundinamarca, Meta, Tolima and the central administration of Bogot.In the context of the opening of markets and the internationalization efforts of the Colombian economy, this subregion is crucial because of the large size of its market, the magnitude of its agricultural sector, as well as the potential for productive linkages and the possibilities for commercial, financial and tourism exchanges of the different departments that are part of it.This research aims to identify the synergies that exist between the linkage of the department of Tolima in the Special Administrative and Planning Region of Colombia, from a mesoeconomic perspective, and the potential for the insertion of the citrus-lemon crop of Tolima in the GVC, leveraged on the opportunities offered institutionally by this associative model.The results show that the potential for competitive insertion of the lemon produced in the department of Tolima in the GVC, through scaling up to larger and more complex territorial units such as those offered by the SAPR regional associativity model, is quite broad in terms of the presence of economies of scale and greater institutional density.Thus, this regional integration facilitates more focused technical support from institutions such as the Colombian Agricultural Institute (ICA), the attraction of national demand for lemons, such as the Family Welfare and the country's prisons through public procurement law projects.In conclusion, potential international markets have been identified, such as Canada and Russia, which are prospectively a great opportunity for improvement for lemon producers.However, it is first necessary to overcome major threats and weaknesses that currently hinder such insertion, such as the lack of knowledge of farmers about the SAPR figure in relation to sources of financing for the crop, among other determining aspects that are detailed in the model. 2.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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".