Value chain analysis and benefit distribution of Pig industry in Vietnam
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
Livestock sector including pig is developing in Vietnam, which plays a crucial role in the economic structure of Vietnam and meets the demand of Vietnamese. The study was involved 120 pig farmers, 3 retailers, 3 wholesalers, 12 middlemen, 3 slaughterhouses, 12 sellers, 3 processors, and 12 consumers in three districts who were chosen as respondents in the value chain. The study was implemented to determine the value chain and benefit distribution of pig industry in Tra Vinh province. Snowball sampling and purposive method were used in this study. The results show that there were three channels of pig in Tra Vinh province during the context of African Swine Fever (ASF). There were three value chains which were found out in the value chain of pig industry. Middlemen played an important role in the value chain. Both of three passed through slaughterhouse as their slaughtering service. The shortest value chain is from farmer -middlemen-cum-seller -consumer. Farmers contributed a high value-added share in the value chain. It could be concluded that in Tra Vinh province, the longer value chain, the higher price the consumer takes. We suggested that the improvement of the number of pig and stabilization of the value chain of pig industry are the current mission and the strategy to be implemented.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it