This study empirically explored the impact of energy consumption on greenhouse gas (GHG)
emissions in Nigeria, with a focus on measuring the relationship's magnitude and policy
implications for long-term development. The analysis, which ran from 1990 to 2024, used a
multivariate framework that included total GHG emissions, oil product consumption (LOPC),
natural gas consumption (LNGC), electricity consumption (LEDC), and urban population growth.
The Seemingly Unrelated Regression (SUR) model was used in the analysis, along with Augmented
Dickey-Fuller (ADF) unit root testing, Bounds Cointegration testing, and the Toda-Yamamoto
Granger causality approach, to establish stationarity, long-run equilibrium, and causal dynamics
among the variables. The empirical results showed that oil and electricity consumption had a
considerable and favourable impact on GHG emissions. Specifically, a 1% increase in domestic
oil and electricity use resulted in 0.19% and 0.08% increases in GHG emissions, respectively. In
contrast, natural gas usage had a statistically insignificant effect, most likely due to methane
leakage and flaring inefficiency. Urbanisation had a substantial negative influence on emissions
(-0.07%), indicating increased efficiency and lower emissions per capita in urban areas. The
cointegration test demonstrated a stable long-run equilibrium, however Granger causality tests
revealed that fossil fuel consumption drives emissions, supporting the Environmental Kuznets
Curve (EKC) theory. These findings suggest that Nigeria's fossil fuel-based energy structure poses
a significant threat to climate sustainability. Policy ideas include increasing renewable energy
investment, implementing carbon price mechanisms, and improving regulatory oversight of
emissions. The study stated that, while energy access is critical for economic growth, a shift to
low-carbon energy sources is required to manage climate risks and line with Nigeria's Nationally
Determined Contributions (NDCs) under the Paris Agreement.