Does Capacity Utilization Reduce Unemployment? Evidence from Nigeria

This study empirically investigated the effect of capacity utilization on unemployment in Nigeria over the period of thirty-five years, ranging from 1990 to 2024. The study proxied capacity utilization (independent variable) by capacity utilization, industrial production index and labour force participation rate while unemployment (dependent variable) was measured by unemployment rate. Okun’s Law and Keynesian theory of employment were the theories adopted in the study. Annual time series data were used and these data were sourced from World Development Index (WDI) of the World Bank and National Bureau of Statistics (NBS) reports. The main data analysis technique adopted is Autoregressive Distributed Lag (ARDL) technique. The data analysis was facilitated by E-views 13 statistical package. The findings of the study indicated that, there is a negative and significant relationship between capacity utilization and unemployment rate in Nigeria, there is a negative and significant relationship between industrial production index and unemployment rate in Nigeria while there is a negative and significant relationship between labour force participation rate and unemployment rate in Nigeria. Based on the findings, the study concluded that, capacity utilization plays a significant role in reducing unemployment generation in Nigeria. The researchers recommended among others that government and relevant stakeholders should make genuine efforts towards boosting Nigeria’s capacity utilization.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-03
DOI
https://doi.org/10.64388/irev9i8-1714693
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

Does Capacity Utilization Reduce Unemployment? Evidence from Nigeria

Boma Tubotamuno, Isaac Olubiyi Oladosu
Iconic Research and Engineering Journals
Unemployment and Economic Growth
article

Does Capacity Utilization Reduce Unemployment? Evidence from Nigeria

Boma Tubotamuno, Isaac Olubiyi Oladosu
article en

Abstract

This study empirically investigated the effect of capacity utilization on unemployment in Nigeria over the period of thirty-five years, ranging from 1990 to 2024. The study proxied capacity utilization (independent variable) by capacity utilization, industrial production index and labour force participation rate while unemployment (dependent variable) was measured by unemployment rate. Okun’s Law and Keynesian theory of employment were the theories adopted in the study. Annual time series data were used and these data were sourced from World Development Index (WDI) of the World Bank and National Bureau of Statistics (NBS) reports. The main data analysis technique adopted is Autoregressive Distributed Lag (ARDL) technique. The data analysis was facilitated by E-views 13 statistical package. The findings of the study indicated that, there is a negative and significant relationship between capacity utilization and unemployment rate in Nigeria, there is a negative and significant relationship between industrial production index and unemployment rate in Nigeria while there is a negative and significant relationship between labour force participation rate and unemployment rate in Nigeria. Based on the findings, the study concluded that, capacity utilization plays a significant role in reducing unemployment generation in Nigeria. The researchers recommended among others that government and relevant stakeholders should make genuine efforts towards boosting Nigeria’s capacity utilization.

Iconic Research and Engineering JournalsVol. 9(8)
Decent work and economic growth
Openalex Percentile: Top 38%
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.