Efficiency of Marine Dry Fish Marketing in Bangladesh: A Supply Chain Analysis
Bibliographic record
Abstract
The marine dried fishes have the demand both in domestic and international market. Bangladesh has a great potentiality to earn huge foreign exchange by exporting marine dry fishes. The present study was designed to analyze the supply chain and to examine marketing efficiency of marine dry fish in Bangladesh. Data were collected from 170 stakeholders and 9 export oriented firms/agencies using face to face semi-structured interviews considering 9 major species of marine fishes. A number of FGDs were conducted to supplement the information collected through survey method. The study areas were purposively selected. Three types of market such as primary market, secondary market and consumer market were considered for data gathering. High priced fish demanded high marketing cost resulting higher marketing margin and profit compared to low priced fish. Processing and transportation costs were also higher for high valued species compared to the low valued ones. Marketing margin and marketing profit were very high in export market compared to domestic market. However, shorter supply chains (channels) were more efficient than longer supply chains.The Agriculturists 2015; 13(1) 53-66
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".