| Abstract: | The Modjo dry port of Ethiopia is serving as a safe location that handles, temporarily stores,
inspects, and clears customs on cargo travelling in international trade. This study aimed to
examine the key determinants of container terminal efficiency in Modjo dry port. The study
used an explanatory design with a descriptive survey method, adopting both quantitative and
qualitative approaches. Data were gathered from 240 respondents using questionnaire. Both
primary and secondary data were collected, and data analysis was performed using descriptive
and inferential statistics with the help of SPSS and MS Excel. The findings showed that
Warehouse operation has the highest mean score of 3.957 followed by handling equipment
(3.941), infrastructure (3.929), Custom clearance (3.924) and holding truck has the lowest
mean score of 3.786. Moreover, the multiple linear regression analysis showed that the
independent variables have a statistically significant contribution to container terminal
efficiency (R2=0.758, P=<0.001). The regression coefficient for handling equipment was the
highest (β = 0.465) followed by holding truck (β =0.241), custom clearance (β =0.162),
infrastructure (β = 0.137), and warehouse operation (β =0.088). Ethiopian Shipping and
Logistics Service Enterprise (ESLSE) shall invest in upgrading their handling equipment and
holding trucks, provide quick maintenance services to minimize downtime and increase
container terminal efficiency. |
