Spatial analysis of rural multidimensional poverty in Morocco: a novel approach using satellite nighttime light data

.This study investigates the relationship between nighttime light (NTL) intensity and rural multidimensional poverty across 75 Moroccan provinces, using VIIRS and MODIS satellite data with spatial econometric models (SAR, SEM, SDM). A strong negative correlation (R² = 0.83, <i>p</i> &lt; 0.01) confirms NTL as a reliable poverty proxy. Spatial spillover effects (γ = 0.031, <i>p</i> &lt; 0.05) highlight the influence of neighboring provinces, suggesting regionally interconnected poverty mechanisms. NTL decomposition underscores the role of agricultural areas development. Hotspot analysis reveals persistent deprivation in the northeast and south. The study supports data-driven, spatially informed strategies for rural poverty alleviation.