ANALYSING THE TREND AND VARIABILITY IN CORRUPTION PERCEPTION: A
STUDY OF SUB-SAHARA AFRICAN COUNTRIES FROM 2012-2020
Author:
Chima Paul, Samuel Olorunfemi Adams
This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
This study examines trends and variability in the Corruption Perception Index (CPI) across 48 Sub-SaharanAfrican (SSA) nation using cross-sectional data from 2012 to 2020 from Transparency International s. Basedon expert polls, the CPI rates public sector corruption from 0 (high corruption) to 100 (low corruption).Analysis was conducted using STATA 15 and included descriptive statistics, data visualization, correlationmatrices, and one-way ANOVA. The findings show a steady yearly growth in the CPI, with major anticorruptionadvancements in Botswana, Rwanda, Namibia, and Senegal. While the Democratic Republic ofCongo, Sudan, and South Sudan continued to struggle with corruption, Niger, Gabon, Mali, and Togodemonstrated only little progress. The average CPI decreased somewhat from 32.9 in 2012 to 32.2 in 2020,indicating a minor regional impact, notwithstanding individual country efforts. ANOVA results showed nosignificant variations in corruption levels over time (F = 0.031, P = 0.987), but strong correlations (P < 0.01)suggest persistent CPI trends. These results highlight the necessity of focused policy initiatives and long-termgovernance reforms to solve persistent corruption problems in SSA.
| Pages | 11-18 |
| Year | 2025 |
| Issue | 1 |
| Volume | 3 |
