Market Supply Response of Cassava Farmers in Ile-Ife, Osun State
Bibliographic record
Abstract
This study examined the market supply response of cassava farmers in Ile-Ife, Osun State. Data were collected from 80 cassava farmers from four cassava producing Local Government Areas (LGAs) namely; Ife-East, Ife-Central, Ife-North and Ife-South. These were analysed using descriptive statistics and regression technique. The results of the descriptive analysis showed that method of cassava farming was mainly traditional and cassava was mostlly cultivated with maize. Majority of the cassava farmers were married, literate and of about 35 years meaning that more young people were into cassava cultivation in Ile-Ife. Also, the farmers had an average of 8 members per household. The results of the regression analysis revealed that 97% of the variations in the marketed surplus of cassava were explained by the variables in the model. The result also revealed that the quantity of cassava output in kg and the family size had positive and significant effects on the marketed surplus while losses, quantity of cassava consumed in kg, payments in kind in kg, size of land in hectares had negative effects on the marketed surplus. The elasticity of marketed surplus was 1.6 meaning that the supply response was elastic indicating that the higher the price of cassava output in kg the more the quantity of cassava that will be supplied. Key words: Cassava Farmers; Market supply response; Nigeria; Osun State
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".