African Equine Science (Agri/Animal Science) | 28 December 2000
Bayesian Hierarchical Model for Yield Improvement in Off-Grid Community Systems in Senegal
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Abstract
Off-grid communities in Senegal face challenges in sustainable energy provision for agricultural productivity. A Bayesian hierarchical regression model was employed to analyse data on solar panel installations, electricity usage patterns, and crop yields across Senegalese communities. The model demonstrated a significant positive association between improved solar panel efficiency and increased agricultural productivity by 15% over baseline conditions. The Bayesian hierarchical model provides a robust framework for evaluating yield improvements in off-grid systems, with implications for sustainable energy policy development in Senegal. Communities should prioritise investment in high-efficiency solar panels to maximise agricultural yields and support rural electrification efforts. Bayesian hierarchical model, off-grid communities, yield improvement, Senegal The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.