LEARNING FROM BEIJING: HOW SIERRA LEONE CAN ADOPT CHINA'S MODEL OF LONG-TERM NATIONAL DEVELOPMENT PLANNING
DOI:
https://doi.org/10.61421/IJSSMER.2026.4103Keywords:
China development model, long-term planning, Sierra Leone, South-South cooperation, policy transfer, developmental state, institutional capacityAbstract
This article examines how Sierra Leone can adapt elements of China's long-term national development planning model to strengthen its development outcomes. Drawing on theories of the developmental state, policy mobility, and South-South cooperation, the study analyzes the institutional mechanisms that underpin China's planning success, particularly the National Development and Reform Commission's coordinating role, the Five-Year Plan formulation process, pilot project experimentation, and results-based cadre evaluation systems. Through comparative analysis of Sierra Leone's current planning landscape, including the Medium-Term National Development Plan and institutional capacity constraints, the research identifies both opportunities and significant challenges for policy transfer. The article argues that while direct replication is neither feasible nor desirable given fundamental differences in political systems and governance structures, Sierra Leone can selectively adapt specific institutional mechanisms to enhance policy coherence and implementation capacity. Key challenges include managing the risks of dependency, addressing political system differences between multi-party democracy and single-party governance, and navigating potential debt sustainability concerns. The study provides a detailed, phased roadmap with concrete, actionable recommendations spanning short-term (1-3 years), medium-term (4-7 years), and long-term (8+ years) horizons. This research contributes to broader debates on South-South cooperation and policy learning by demonstrating how African nations can engage critically and selectively with Asian development models while maintaining contextual sensitivity and local ownership.
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Copyright (c) 2026 Joseph M. Conteh
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