Economic Re-Allocation of Egyptian Imports from The Most Important Oilseed Crops
Bibliographic record
Abstract
The oilseed Considers main source of food for vegetable oils used in the human diet and upon which many an industry vegetable margarine, paints, cosmetics and some medical industries and inks used in the printing industry, also contains vegetable oil needed for the human body, which the body cannot composition of essential fatty acids inside, it is also considered an important source of some fat-soluble vitamins, as well as economically important role both at the level of the agricultural sector or national level. The research problem in the domestic production shortfall of oil to meet the growing food needs years of seeds a year later, leading to a widening gap between production and consumption, and to fill this gap the state to resort to imports from abroad, where the volume of Egyptian imports of oilseeds in 2013 about 889.9 thousand tons the value of imports of oilseeds for the same year amounted to about 6101.63 million pounds, and in light of the high cost of imports as a result of rising world prices for vegetable oils, this increases the burden on the balance of trade and increases the deficit in the balance of payments, where the deficit reached about 256.12 billion pounds in 2013 . The results showed that the global Egyptian imports of sunflower seed are concentrated in four states accounted for about 99.95% of the total amount of Egyptian imports from sunflower, amounting to about 382.43 thousand tons, and accounted for about 99.9% of the total value of Egyptian imports sunflower, amounting to about 3664.40 million pounds during the study period average. Two models have been the work of each crop the first model was left of imported quantities are distributed among exporting countries for crop study by the least expensive, the second model was the disposal of the countries that increases the price of imports where the average price of imports during the average period (2010-2013) and of about 9, 58 thousand pounds per ton of sunflower and 4.95 thousand pounds per ton of soybeans during the average study period. By studying the two models for each crop it has been reached that the second model of the minimization of the value of imports of sunflower models is the best model, where the results are consistent with the results of the competitive advantage of price where it was eliminated top nations in the price of imports as it was investigating provided high than achieved by the first model and thus reduce the deficit in the cash balance of trade for up to 209963 pounds. It turns out that the second model of the models the low value of imports for soybeans is the best model where results are consistent with the results of the competitive advantage of price where it was disposed of top countries in the rate of import have also been reduced imports from Brazil have been increasing the amount of imports from Canada, where it has the highest price a competitive advantage in market sphincter, as it was investigating what is achieved by providing a high first model and thus deficit in the trade balance of cash to reduce up to 209 263 million pounds.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".