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

Ahmed Bassibas & Abdelhak Kamal¹

Networks and Spatial Economics2026https://doi.org/10.1007/s11067-026-09725-2article
AJG 2ABDC B
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1007/s11067-026-09725-2

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@article{ahmed2026,
  title        = {{Spatial Analysis and Functional Regionalization of the Local Labor Market in Morocco: A Spatially-Constrained Clustering and Econometric Approach}},
  author       = {Ahmed Bassibas & Abdelhak Kamal¹},
  journal      = {Networks and Spatial Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s11067-026-09725-2},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.