Consumers’ Willingness to Pay for Cassava Flour Inclusion in Bread, a Case Study of Lagos State, Nigeria
Bibliographic record
Abstract
<p>The study was conducted to address the issue of consumers’ willingness to pay for inclusion of cassava flour in bread in Lagos State. The data were collected randomly from a sample of 300 respondents in the state through the use of a well structured questionnaire. The contingent valuation method was adopted to estimate both the mean willingness to pay of consumers and the factors that affect their willingness to pay and these were analyzed using the bivariate probit model. The most significant model was the 10percent cassava flour inclusion as it has the highest number of significant variables (eight) followed by 20percent cassava flour inclusion with seven significant variables and 30 and 40percent cassava flour inclusion with six significant variables each. The factors that influenced consumers’ willingness to pay for CCW bread were the respondent’s age, gender, respondents’ awareness, married respondents, respondents with head position<em>,</em>and bread share which is the<em> </em>proportion of respondents income spent on bread to total income. The mean willingness to pay for bread with an inclusion of cassava flour at 10, 20, 30, and 40percent cassava flour inclusion were ?172.70, ?165.00, ?154.07, and ?142.78 respectively for initial bid while the mean willingness-to-pay at 10, 20, 30, and 40percent cassava flour inclusion were ?180.20, ?150.41, ?143.35, and ?127.36 respectively for subsequent bid. Arising from the result of this study, birth control policies were recommended among respondents in the study area.</p>
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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 | 0.004 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".