| Abstract: | Objectively the study to examines the factor affecting dry port performance efficiency of port and
terminal branch in the ESLSE. The study adopted a quantitative research approach with
explanatory design. Container throughput (OUTPUT) was used to measure and explain the
performance of selected ESLSEs port and terminal branches from 2008-2020. The explanatory
variables (IMPUT) were Terminal Tractor (TT), Terminal chancy (TC), Reach Stackers (RS),
Fork Lift (FL), Terminal area (hectare) (TA). And also control variable Inflation and foreign
trade was adopted to investigate their effects on dry port operation performances. Secondary
data was collected in panel form for 2 purposively selected ESLSE port and terminal branch for
5 years (2008-2020). DEA and SFA models were adopted to examine the relationship between
the study variables using both parametric and nonparametric approaches. Data was analyzed
using descriptive statistics and inferential analysis using DEAP and Frontier 41 software.
The finding generally concludes that the most important determinant of port productivity, was
technical efficiency. As the Stochastic Frontier Analysis production function estimation results
reveal that infrastructure inputs are important to predict the level of container throughput, but
that the highest elasticity’s are associated with Terminal chancy and Richs-tracker. In addition,
the control variables of inflation and foreign trade had no significant and positive coefficients in
the estimations. thus, the increase of economic inflation level and value of foreign trade in the
country doesn’t plays a significant role in the technical efficiency of the port and terminal
operation of ESLSE. Based on the study result the researcher recommend that: both of the
sample ports on the ESLSE, technical efficiency is relatively low, and port resources are wasted.
it is necessary to improve the economy and technical efficiency of ports by controlling and
grasping external environmental variables |
