Spatial Analysis and Functional Regionalization of the Local Labor Market in Morocco: A Spatially-Constrained Clustering and Econometric Approach

This study examines the spatial functioning of Morocco’s local labor markets in a context where detailed commuting flow data are unavailable. It characterizes spatial interdependencies, territorial heterogeneity, and functional configurations using fine-grained communal data. We adopt an integrated three-stage framework combining spatial diagnostics (LISA), spatially-constrained clustering (SKATER), and spatial econometric modeling (SDM). Results reveal five spatially contiguous functional configurations: Integrated Economic Poles, Administrative/Institutional Poles, a Vulnerable Periphery, and intermediate zones of Diffuse Tertiarization and Intermediate Human Capital Towns. Spatial econometric evidence confirms strong positive unemployment spillovers and complex transmission channels: industrial concentration shows positive regional spillovers, human capital exhibits a paradoxical positive local effect, and institutional presence increases local unemployment while stabilizing neighboring areas. The study provides a replicable framework for functional analysis in data-scarce contexts and argues for functionally-grounded, place-based employment policies.