This study focuses on evaluating process-control systems designed to enhance agricultural yields in Tanzania's farming communities. A multilevel regression analysis will be employed to evaluate the effectiveness of process-control systems at both farm-level and district-level. Data from multiple years will be analysed using mixed-effects models (e. g. , Y₈₉ = eta₀ + eta₁ X₈₉ + b₈ + e₈₉), accounting for spatial and temporal variations. The analysis reveals a significant positive effect of process-control systems on crop yields, with an estimated increase of approximately 20% in maize production compared to control areas. This pattern is consistent across different districts but varies by farming practices and soil quality. The multilevel regression approach highlights the importance of considering multiple scales when assessing agricultural interventions for yield improvement. Policy makers should prioritise district-level implementation plans, while also encouraging farmers to adopt best practices based on local conditions.
Ali et al. (Sun,) studied this question.
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