Massification, Capacity Pressure, and Performance Governance in Moroccan Public Universities: A System-Wide Analysis
Authors
Researcher, Laboratoire Interdisciplinaire de Recherche en Économie, Finance et Management des Organisations (LIREFIMO), Sidi Mohamed Ben Abdellah University, Fez, Morocco (Morocco)
Article Information
DOI: 10.47772/IJRISS.2026.100800477
Subject Category: Environment
Volume/Issue: 10/8 | Page No: 7436-7452
Publication Timeline
Submitted: 2026-08-24
Accepted: 2026-09-29
Published: 2026-09-08
Abstract
Massification has expanded access to higher education, but it can also create structural pressure when enrolment grows faster than physical capacity and stable academic staffing. This study examines how these pressures are associated with institutional performance across the Moroccan public-university system. It develops a capacity-resource alignment framework that links the intensity of the open-access mission, declared physical capacity, permanent academic staffing, and graduation intensity. The analysis covers the complete population of twelve Moroccan public universities reported in official 2024-2025 statistics. Four directional hypotheses are examined through descriptive statistics, Spearman rank correlations, standardised bivariate regressions with HC3 heteroscedasticity-consistent standard errors, and graphical inspection. Open-access institutions enrol 82.2% of students while operating with approximately 99 students per permanent academic staff member, compared with about 24 in regulated-access institutions. Across universities, capacity pressure is strongly and positively associated with staffing pressure (rho = 0.804; p = 0.002), while staffing pressure is negatively associated with graduation intensity (rho = -0.769; p = 0.003). Relationships involving open-access concentration follow the expected direction but are less stable in robust regressions. The findings show that institutional performance is more meaningfully interpreted when output indicators are contextualised by the access mission and the resources available to fulfil it. The study contributes a system-wide diagnostic framework for higher-education governance and supports capacity-sensitive funding, multi-year staffing planning, differentiated benchmarking, contextualised dashboards, and performance contracts that connect outcome expectations to resource trajectories. Because the data are cross-sectional and aggregated, the results identify structural associations rather than causal effects, with particular relevance to systems experiencing rapid and uneven expansion
Keywords
Higher Education
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References
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