Off-grid communities in Senegal have implemented various systems to enhance agricultural yields, but methodological evaluations of these systems are limited. This scoping review employs systematic literature search strategies focusing on articles published between and. Key inclusion criteria involve studies that utilised panel data techniques to evaluate off-grid community systems in Senegal, with a particular emphasis on yield improvement metrics. The methodology aims at identifying commonalities and discrepancies across different research methodologies. A notable finding is the predominance of fixed effects models over random effects models in estimating yield improvements, reflecting the need for further investigation into potential unobserved heterogeneity impacting outcomes. The review underscores the importance of methodological rigor when applying panel data techniques to agricultural yield improvement studies. Future research should consider additional robustness checks and explore mixed-effects models as a viable alternative. Researchers and policymakers are encouraged to adopt transparent reporting practices, which include detailed descriptions of their chosen econometric methods and assumptions regarding unobserved variables. This will facilitate better replication and validation of findings across different studies. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
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Sabrina Ndi
Institut Sénégalais de Recherches Agricoles
Cheikh Ahmed Tidiane NDIAYE
Université Alioune Diop de Bambey
Salif Sow
Institut Pasteur de Dakar
Institut Sénégalais de Recherches Agricoles
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Ndi et al. (Thu,) studied this question.
synapsesocial.com/papers/69a52e64f1e85e5c73bf20b5 — DOI: https://doi.org/10.5281/zenodo.18812085
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