Impacto del covid-19 en las exportaciones de banano, camarón y flores durante el 2020
Why this work is in the frame
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Bibliographic record
Abstract
Debido a la aparición del nuevo virus llamado covid-19 que se originó en Wuhan-China y que rápidamente se propagó alrededor del mundo, el mismo ocasionó graves problemas en todos los sectores, por lo que los gobiernos decidieron realizar un confinamiento en los primeros meses del 2020, con ello el cierre de los puertos, aeropuertos y fronteras, así como también, la reducción de horas de trabajo, paralización del transporte, entre otros. Las regiones más afectadas por la pandemia fueron América Latina y El Caribe. Los sectores más dinámicos en la economía en Ecuador son: el bananero, camaronero y de las flores, los mismos que en los últimos años han aumentado su contribución al Producto Interno Bruto (PIB). El objetivo del presente artículo es analizar el impacto del covid-19 en las exportaciones de banano, camarón y flores tomando en cuenta los factores preponderantes que han hecho que estos sectores se vean afectados durante el periodo 2020. Se realizó mediante un diseño no experimental, descriptivo, para la sección de resultados se tomó la información de páginas oficiales y seguidamente su análisis de los tres sectores. Se concluye que para el 2020, las exportaciones ecuatorianas fueron positivas, debido a que tuvieron un crecimiento en los productos de banano y camarón; mientras que, las flores fue el sector más perjudicado. Los mercados más importantes para las exportaciones del país son EEUU, la Unión Europea y China.
 
 Due to the appearance of the new virus called covid-19 that originated in Wuhan-China and that quickly spread around the world, it caused serious problems in all sectors, so the governments decided to carry out a lockdown in the first months of 2020, with this the closure of ports, airports and borders, as well as the reduction of working hours, paralysis of transport, among others. The regions most affected by the pandemic were Latin America and the Caribbean. The most dynamic sectors in the economy in Ecuador are: the banana, shrimp and flower sectors, the same ones that in recent years have increased their contribution to the Gross Domestic Product (GDP). The objective of this article is to analyze the impact of covid-19 on banana, shrimp and flower exports, taking into account the preponderant factors that have caused these sectors to be affected during the 2020 period. It was carried out using a non-experimental design, descriptive, for the results section the information from official pages was taken and then its analysis of the three sectors. It is concluded that for 2020, Ecuadorian exports were positive, due to the growth in banana and shrimp products; while flowers were the most affected sector. The most important markets for the country's exports are the US, the European Union and China.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it