Using Exploratory Factor Analysis to Extract the Key Determinants of Yemen's GDP (2000 – 2020)

Authors

  • Fahmi Mohammed Ahmed Al-Selwi Assistant Professor of Applied Statistics department of Data Sciences and Information Technology Faculty of Administrative Sciences, Taiz University
  • Ahmed Abdulrazzaq Mohammed Al-Ansari Assistant Professor of Applied Statistics department of Data Sciences and Information Technology Faculty of Administrative Sciences, Taiz University

DOI:

https://doi.org/10.59325/sjas.v9i2.338

Keywords:

Exploratory Factor Analysis, GDP, Yemen, World Bank, Governance, Financial Fragility

Abstract

This study applies Exploratory Factor Analysis (EFA) to identify the principal latent factors influencing Yemen's GDP over 2000–2020 using World Bank (WDI) data. Twenty macroeconomic, socioeconomic, and institutional indicators were analysed. Following Varimax rotation, three factors were extracted explaining 93.70% of total variance: (1) Macroeconomic Integration and Governance, (2) Financial Fragility and Economic Performance, and (3) Infrastructure and Human Capital. Data adequacy was confirmed by KMO = 0.533 and Bartlett's test χ²(190) = 1108.04 (p < 0.001). Findings offer actionable insights for policymakers and a methodological basis for Yemen's economic recovery programmes.

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Published

2026-09-03

How to Cite

Al-Selwi, F. M. A., & Al-Ansari, A. A. M. (2026). Using Exploratory Factor Analysis to Extract the Key Determinants of Yemen’s GDP (2000 – 2020). Al Saeed University Journal of Applied Sciences, 9(2), 219–244. https://doi.org/10.59325/sjas.v9i2.338

Issue

Vol. 9 No. 2 (2026): Al-Saeed University Journal of Applied Sciences

Section

Articles