Typologies of Trade Openness in Africa: A Principal Component and Cluster-Based Analysis
This study investigates the determinants and typologies of trade openness across 40 African economies, addressing persistent gaps in integration despite decades of neoliberal reforms. By employing Principal Component Analysis (PCA) and hierarchical clustering, the research analyzes how institutiona...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
University of Boumerdes
2025-06-01
|
| Series: | المجلة الدولية للأداء الاقتصادي |
| Subjects: | |
| Online Access: | https://www.ijep.dz/index.php/IJEP/article/view/369 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This study investigates the determinants and typologies of trade openness across 40 African economies, addressing persistent gaps in integration despite decades of neoliberal reforms. By employing Principal Component Analysis (PCA) and hierarchical clustering, the research analyzes how institutional quality, human capital, regional trade agreements, and tariff policies collectively shape trade openness and economic growth trajectories. The analysis reveals three distinct country clusters: liberal diversified economies (e.g., Mauritius, South Africa), transitional reforming states (e.g., Ghana, Kenya), and protectionist, commodity-dependent nations (e.g., Nigeria, Angola). Key findings highlight a positive association between trade openness and robust institutions, human capital, and participation in trade agreements, while high tariffs significantly hinder openness. The results underscore the necessity of complementary institutional and policy frameworks for effective trade liberalization. Strategic policy recommendations include investment in value-added sectors, strengthening regulatory institutions, phased tariff liberalization, and enhanced regional integration. The study advances the understanding of Africa’s heterogeneous trade landscape and informs targeted development policies.
|
|---|---|
| ISSN: | 2661-7161 2716-9073 |