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Modeling the Impact of Macroeconomic Factors on Sustainable Maritime Transportation System in Nigeria Using ARDL Bounds Testing Approach

Vincent Mark Oka, I. D Essi E. Amos

Abstract

This research examines how macroeconomic factors affect Nigeria's sustainable maritime transportation system, employing the Autoregressive Distributed Lag bounds testing method. Concentrating on the years between 1982 to 2023, we analyze the relationships between dry bulk transportation , non-oil bulk transportation , real gross domestic product , and unemployment (UR). The descriptive statistics indicate significant differences among the variables, with DBT and NOBT showing changes in trade linked to both local and international market fluctuations. Meanwhile, RGDP and UR reveal the cyclical patterns of economic performance and the labor market's reaction. Stationarity tests and unit root tests show that the series stabilize after differencing, confirming their appropriateness for long-term analysis. The Johansen cointegration test uncovers four cointegrating vectors, indicating stable long-term relationships between the variables. Results from the ARDL analysis show that both DBT and NOBT positively impact RGDP, though with a lag, highlighting the critical role of maritime trade in promoting growth. In contrast, unemployment shows minimal influence, aligning with the idea of jobless growth in Nigeria. The error-correction mechanism indicates that about 22% of any discrepancies are corrected each month, confirming a slow movement toward long-term stability. This study emphasizes that having an effective bulk transportation system is crucial for fostering long-term economic growth and diversification in Nigeria. Additionally, short-term disruptions in the maritime sector tend to be correct in a cyclical manner.

Keywords

MacroeconomicFactorsSustainableMaritimeTransportationARDLBounds

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