Oportunidad de negocio en el mercado chino para incrementar la exportación peruana de arándanos frescos de la región La Libertad
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT \nThis thesis report entitled "BUSINESS OPPORTUNITIES IN THE CHINESE MARKET FOR INCREASING THE PERUVIAN EXPORT OF LA LIBERTAD FRESH BLUEBERRY” has the purpose make know the business opportunity to companies and institutions that want to venture or diversify into a new market, knowing that the China market is highly attractive for the sale of blueberries. \n \nThis research project arises in view: the growing demand for blueberries and little competition in China regarding healthy products with high nutritional value, also found in blueberries as one of the crops with the greatest potential for the future, because this is a nontraditional fruit highly prized in the international markets due to its properties and characteristics. \n \nThe thesis highlighted that Peru has competitive advantages compared with other countries. Peru not only has the land and climate variability that is needed for the production of cranberries, but also has the ability to offer off-season, many markets like the U.S., CANADA CHILE and ARGENTINA SPAIN, so there is space for expansion. Additionally, it was made a market research about blueberries in China 2009-2013 in which the product got showed and analyzed, and tariff situation, requirements and \nbarriers. \n \nFinally, it was concluded that the business opportunities of the Chinese market will positively influence increasing Blueberries Peruvian exports in subsequent years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it