Nexus among Inflation, Unemployment and Poverty in Nigeria: Empirical Evidence

Despite Nigeria’s enormous growth, living standards for the majority of its citizens have been steadily getting worst, with falling real wages and a complete dearth of jobs. The association among inflation, unemployment and poverty in Nigeria was examined in this study from 1981 to 2023. Using the ARDL model, findings reveals that a long-run relationship does not exist among the variables over the period under study. The short-run regression result revealed that unemployment, inflation and income inequality exerted a positive relationship with poverty. Furthermore, the causality results showed the presence of bidirectional causality between income inequality and poverty while a unidirectional causality runs from inflation to poverty without a feedback effect in Nigeria. However, there is no causal link between unemployment and poverty. The study, therefore, concludes that the alarming rate of poverty in Nigeria is majorly caused by inequality in income. Consequently, it suggests that the policymakers of the government should design and implement redistributive fiscal policies and efficiency improving programmes (like higher spending on key public services such as education, health and social protection) that will improve access of the low-income families to essential goods and services, as this would reduce income inequality and as well reduce the number of poor people in the long-run.

Authors

Institutions

Publication Details

Journal
Asian Journal of Economics Business and Accounting
Published
2024-09-26
DOI
https://doi.org/10.9734/ajeba/2024/v24i101508
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

Nexus among Inflation, Unemployment and Poverty in Nigeria: Empirical Evidence

Irene Olanma Onwuemeka
Asian Journal of Economics Business and Accounting
Unemployment and Economic Growth
article

Nexus among Inflation, Unemployment and Poverty in Nigeria: Empirical Evidence

Irene Olanma Onwuemeka
article en

Abstract

Despite Nigeria’s enormous growth, living standards for the majority of its citizens have been steadily getting worst, with falling real wages and a complete dearth of jobs. The association among inflation, unemployment and poverty in Nigeria was examined in this study from 1981 to 2023. Using the ARDL model, findings reveals that a long-run relationship does not exist among the variables over the period under study. The short-run regression result revealed that unemployment, inflation and income inequality exerted a positive relationship with poverty. Furthermore, the causality results showed the presence of bidirectional causality between income inequality and poverty while a unidirectional causality runs from inflation to poverty without a feedback effect in Nigeria. However, there is no causal link between unemployment and poverty. The study, therefore, concludes that the alarming rate of poverty in Nigeria is majorly caused by inequality in income. Consequently, it suggests that the policymakers of the government should design and implement redistributive fiscal policies and efficiency improving programmes (like higher spending on key public services such as education, health and social protection) that will improve access of the low-income families to essential goods and services, as this would reduce income inequality and as well reduce the number of poor people in the long-run.

Asian Journal of Economics Business and AccountingVol. 24(10)
Renaissance University (NG)
Openalex Percentile: Top 80%
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.