Sustainable Agriculture, Food Production and Poverty Lessening in Nigeria
Bibliographic record
Abstract
The challenge of persistent poverty and food insecurity in Nigeria has been an issue of concern. The government’s effort to alleviate poverty in Nigeria through agriculture appears ineffective because most poor people are rural dwellers and are coincidentally the farmers. They seem not to be benefiting from the government interventions to support farming due to corruption and other unquantifiable factors. This study investigates the impact of agricultural output and food production on poverty decrease in Nigeria. The data used in this study span from 2009 to 2019. Relevant diagnostic tests and regression analysis are performed to obtain the empirical evidence highlighted in this paper. Thus, the findings reveal that the Food Production Index significantly and positively impacts poverty reduction, while Agricultural Output has an immaterial negative effect on poverty decrease. The study concludes that poverty alleviation in Nigeria and food security will depend on government’s full involvement in agriculture and improvement on its agricultural budget. Accordingly, the provision of necessary facilities to boost agriculture have been recommended. The facilities include modern farming equipment, sufficient power supply, credit facility, storage facility, and large markets.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".