Market Participation and Volume Sold: Empirical Evidence From Irrigated Crop Farmers in the Eastern Cape
Bibliographic record
Abstract
The market partaking of smallholder farmers in market-oriented production has the perspective to expand profits, upsurge agricultural output and ultimately promote food security. However, the participation of smallholder’s irrigators and homestead gardeners in markets in South Africa remains low despite numerous interventions, especially since the dawn of democracy in 1994. However, up-to-date, there is not enough evidence that these attempts had been met successfully. This paper examines factors influencing smallholders’ choice to partake in markets and volume sold in the Eastern Cape Province. The study employed survey data of 150 irrigated crop farmers. A random sampling procedure was used in the study areas. The study used a Heckman regression to assess factors impelling market participation and volume sold. Results reveal that market participation and volume sold are influenced by socio-economic and technical factors. Based on the results, the needed policy change to encourage group marketing and upgrading of roads to enable smooth accessibility of output markets are highlighted.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".