Methodological Evaluation of Municipal Infrastructure Assets Systems in Senegal Using Multilevel Regression Analysis for Yield Improvement Assessment

Municipal infrastructure assets in Senegal are critical for food production and distribution. However, their performance is influenced by various factors at different levels. The study employs multilevel regression models to analyse data from multiple sources including municipal records and agricultural surveys. Robust standard errors are used for inference, ensuring the robustness of our findings. A significant proportion (35%) of infrastructure assets in urban areas showed a positive correlation with grain yield improvements, suggesting that targeted investments could enhance productivity. This study provides a methodological framework for assessing municipal infrastructure's impact on agricultural yields in Senegal. Investments should be prioritised in urban infrastructure systems with demonstrated potential to improve crop yields. multilevel regression, municipal infrastructure, yield improvement, Senegal The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.