Oil Price Shocks and Economic Growth in Nigeria under President Bola Ahmmed Tinubu: COVID-19 Intervention

The impact of oil price shocks on the economy during emergency of Coronavirus has occupied the attention of researchers for almost four years. Though, most Nigeria-based studies are not like this, this paper explores alternative measures of oil price shocks that have been developed in the literature with a view to ascertaining the extent to which conclusions about oil price-growth depends on the definition of shocks adopted during pandemic. The relatively recent regime dependent logic regression threshold autoregressive model, together with impulse response functions and forecast error variance decomposition adopted in this study. One third data spanning from 2020 to 2024 was used, a non-linear model of oil price shocks and economic growth during the event of Coronavirus is estimated. The study findings indicate that oil price shocks are unaccounted for significant proportion of observed movements in macroeconomic aggregates during the Coronavirus pandemic. This pattern persists despite introduction of threshold effects by government. This implied the enclave nature of Nigeria’s oil sector with strong linkages to other sector. Therefore, the need to spend oil revenue productively is imperative if favourable effect on real output growth is envisaged in post COVID-19 period.

Authors

Publication Details

Journal
Global Academic Journal of Humanities and Social Sciences
Published
2025-09-09
DOI
https://doi.org/10.36348/gajhss.2025.v07i05.002
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oil Price Shocks and Economic Growth in Nigeria under President Bola Ahmmed Tinubu: COVID-19 Intervention

Ridwan Abiola Oladejo, Nurat Ajibade, Lateef Olanrewaju Raheem, Olaitan Asimiyu et al.
Global Academic Journal of Humanities and Social Sciences
Market Dynamics and Volatility
article

Oil Price Shocks and Economic Growth in Nigeria under President Bola Ahmmed Tinubu: COVID-19 Intervention

Ridwan Abiola Oladejo, Nurat Ajibade, Lateef Olanrewaju Raheem, Olaitan Asimiyu, Fatimat Moriyike Oladejo
article en

Abstract

The impact of oil price shocks on the economy during emergency of Coronavirus has occupied the attention of researchers for almost four years. Though, most Nigeria-based studies are not like this, this paper explores alternative measures of oil price shocks that have been developed in the literature with a view to ascertaining the extent to which conclusions about oil price-growth depends on the definition of shocks adopted during pandemic. The relatively recent regime dependent logic regression threshold autoregressive model, together with impulse response functions and forecast error variance decomposition adopted in this study. One third data spanning from 2020 to 2024 was used, a non-linear model of oil price shocks and economic growth during the event of Coronavirus is estimated. The study findings indicate that oil price shocks are unaccounted for significant proportion of observed movements in macroeconomic aggregates during the Coronavirus pandemic. This pattern persists despite introduction of threshold effects by government. This implied the enclave nature of Nigeria’s oil sector with strong linkages to other sector. Therefore, the need to spend oil revenue productively is imperative if favourable effect on real output growth is envisaged in post COVID-19 period.

Global Academic Journal of Humanities and Social SciencesVol. 7(05)
Openalex Percentile: Top 67%
Market Dynamics and Volatility
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.