Determinants of SMEs’ Access to Microfinance Credit in Lubumbashi: An Analysis Based on Multinomial Logistic Regression
Abstract
This quantitative study investigates the factors contributing to the limited access of Small and Medium-sized Enterprises (SMEs) to credit from Microfinance Institutions (MFIs) in Lubumbashi, Democratic Republic of Congo. Using a multinomial logistic regression model on a sample of 69 SMEs, the authors analyze variables such as self-exclusion, interest rates, credit history, collateral, and solvency. The findings indicate that the lack of solid collateral and low solvency are the primary statistically significant determinants hindering credit access.
Fields of Study & Subjects
Microfinance and Financial Inclusion
Banking stability
regulation
efficiency
Financial Literacy and Behavior
Publication details
- Journal / source
- American Journal of Industrial and Business Management
- Volume
- 16
- Issue
- 02
- Pages
- 203–219
- Publication date
- 1 January 2026
- Language
- EN