THE NEXUS BETWEEN LENDING INTEREST RATES AND PRIVATE SECTOR CREDIT ALLOCATION IN NIGERIA

This study examined the effect of interest rates on private sector credit allocation in Nigeria from 1980 to 2024. The data were sourced from World Development Indicators (WDI). Lending interest rate, Gross domestic product (GDP) growth, real effective exchange rate, and broad money were used as the independent variables, while domestic credit to private sector (DCPS) was the dependent variable. Unit root test was also conducted using Augmented Dickey Fuller (ADF), and the result indicated mixed order of integration. Autoregressive Distributed Lag Model (ARDL) and bounds testing approach were used to examine the long-run relationship among the variables. The results confirm the existence of a significant long-run relationship among the variables. Regression result revealed that lending interest rate had a negative and significant effect on credit to the private sector in the short-run, GDP growth had a positive and statistically significant effect on credit to the private sector in the long-run, while money supply had a positive and statistically significant effect on credit to the private sector both in the short-run and long-run. The study concludes that while interest rate is important, money supply and GDP growth are more effective in influencing the volume of credit allocated to the private sector in Nigeria. It recommends policies that strengthen the money supply and support sustained GDP growth to improve credit allocation in the private sector.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-27
DOI
https://doi.org/10.5281/zenodo.19817313
Primary Topic
Unemployment and Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE NEXUS BETWEEN LENDING INTEREST RATES AND PRIVATE SECTOR CREDIT ALLOCATION IN NIGERIA

Ike Godslove Okereke, Trust Oghenetega Lafua, Annabel Oluchukwu Chuma-Osuebi, Iyioluwa Joshua Adekanola et al.
Zenodo (CERN European Organization for Nuclear Research)
Unemployment and Economic Growth
article

THE NEXUS BETWEEN LENDING INTEREST RATES AND PRIVATE SECTOR CREDIT ALLOCATION IN NIGERIA

Ike Godslove Okereke, Trust Oghenetega Lafua, Annabel Oluchukwu Chuma-Osuebi, Iyioluwa Joshua Adekanola, Martina Ajorgbor
article en

Abstract

This study examined the effect of interest rates on private sector credit allocation in Nigeria from 1980 to 2024. The data were sourced from World Development Indicators (WDI). Lending interest rate, Gross domestic product (GDP) growth, real effective exchange rate, and broad money were used as the independent variables, while domestic credit to private sector (DCPS) was the dependent variable. Unit root test was also conducted using Augmented Dickey Fuller (ADF), and the result indicated mixed order of integration. Autoregressive Distributed Lag Model (ARDL) and bounds testing approach were used to examine the long-run relationship among the variables. The results confirm the existence of a significant long-run relationship among the variables. Regression result revealed that lending interest rate had a negative and significant effect on credit to the private sector in the short-run, GDP growth had a positive and statistically significant effect on credit to the private sector in the long-run, while money supply had a positive and statistically significant effect on credit to the private sector both in the short-run and long-run. The study concludes that while interest rate is important, money supply and GDP growth are more effective in influencing the volume of credit allocated to the private sector in Nigeria. It recommends policies that strengthen the money supply and support sustained GDP growth to improve credit allocation in the private sector.

Zenodo (CERN European Organization for Nuclear Research)
Babcock University (NG)
Decent work and economic growth
Openalex Percentile: Top 3%
Unemployment and Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.