This study investigates trends in Ghana’s carbon dioxide (CO2) emissions, utilizing historical data from 1970 to 2022 and applying autoregressive integrated moving average (ARIMA) modeling approach. Time-series data sourced from the World Bank employs carbon dioxide (CO2) emissions from Transport (Energy) (Mt CO2e) as the dependent variable, with autoregressive (AR) and moving average (MA) components as independent variables. Parameter estimation, conducted using generalized least squares (GLS), identifies a positive and statistically significant MA(10) coefficient (0.430044), indicating that 43% of past shocks persist in influencing current emissions. Projections indicate a sharp increase in carbon emissions from 10.9 Mt CO2e in 2023 to 14.7 Mt CO2e in 2042, implying a persistent rise in the concentration of greenhouse gases in the atmosphere. Given these findings, we recommend the implementation of stricter emissions regulations, promotion of cleaner and more sustainable energy sources, and enhancement of public transportation systems to curb future emissions growth.