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<p>This study synthesises evidence on Morocco’s logistics sector over 2000–2025, quantifying its economic contribution and infrastructure trajectory, while identifying structural constraints affecting logistics performance, supply chain efficiency, and digital transition. A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Scopus served as the primary database, using predefined keyword strings and subject-area filters, yielding 769 records for 2000–2025. Additional sources were identified through reference screening and institutional repositories. After sequential screening, quality appraisal, and thematic coding, 120 peer-reviewed studies were retained. Morocco’s logistics sector contributes approximately USD 5.6 billion (5.48% of GDP) and accounts for 4.3% of national employment, supported by over USD 30 billion in cumulative infrastructure investment. Recent data confirm an acceleration of this trend, with the transport and storage sector recording 7.4% value-added growth in 2024, compared with 3.8% for overall GDP. The analysis identifies four structural challenge clusters: infrastructure deficits and land-use constraints; regulatory fragmentation; SME-level digitalisation barriers; and human capital misalignment. Human capital gaps emerge as the most critical constraint, limiting infrastructure efficiency and supply chain responsiveness. The review is limited to Morocco and to English- and French-language sources, potentially excluding other relevant literature. The findings provide practical insights for infrastructure planners, logistics operators, and policymakers. This study offers the first systematic review of Morocco’s logistics sector over 2000–2025, integrating economic, infrastructural, and sustainability dimensions into a unified framework and proposing a four-cluster typology linking structural constraints to logistics system performance.</p>

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Logistics in Morocco from 2000 to 2025: A Systematic Review of Infrastructure Development, Green Logistics Integration, and Structural Challenges

  • 期刊论文

  • 发表日期：

    2026年7月10日

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  • Mohamed Amine Benchekroun,
  • Amina Chandad,
  • Abderrazak Boumane

摘要

This study synthesises evidence on Morocco’s logistics sector over 2000–2025, quantifying its economic contribution and infrastructure trajectory, while identifying structural constraints affecting logistics performance, supply chain efficiency, and digital transition. A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Scopus served as the primary database, using predefined keyword strings and subject-area filters, yielding 769 records for 2000–2025. Additional sources were identified through reference screening and institutional repositories. After sequential screening, quality appraisal, and thematic coding, 120 peer-reviewed studies were retained. Morocco’s logistics sector contributes approximately USD 5.6 billion (5.48% of GDP) and accounts for 4.3% of national employment, supported by over USD 30 billion in cumulative infrastructure investment. Recent data confirm an acceleration of this trend, with the transport and storage sector recording 7.4% value-added growth in 2024, compared with 3.8% for overall GDP. The analysis identifies four structural challenge clusters: infrastructure deficits and land-use constraints; regulatory fragmentation; SME-level digitalisation barriers; and human capital misalignment. Human capital gaps emerge as the most critical constraint, limiting infrastructure efficiency and supply chain responsiveness. The review is limited to Morocco and to English- and French-language sources, potentially excluding other relevant literature. The findings provide practical insights for infrastructure planners, logistics operators, and policymakers. This study offers the first systematic review of Morocco’s logistics sector over 2000–2025, integrating economic, infrastructural, and sustainability dimensions into a unified framework and proposing a four-cluster typology linking structural constraints to logistics system performance.