The researcher analyzed the technical efficiency of container
ports, place where various modes of transportation in a series of international multimodal transport, and increasingly important with the growing interest in the transfer of global econom
y products by containers. Search has been applied on 61 container port in the Mediterranean, The research variables from the input side was: number of cranes, quays lengths and port area, and from the output side was: the number of containers, and the additional variables were: the quality of roads and railways in addition to the availability and use of technology communications in the process. The research
has been used Stochastic Frontier Analysis in efficiency
measurement and analysis of influences. The research found a
positive correlation between the efficiency of the container port and the quality of road networks between transit and rail up the container port areas of Foreign Affairs, in addition to the port over the application and use of communications technology in operations.
This study aims at measuring the cost performance efficiency of
Syrian banking sector during the period 2006-2010. The selected period has
been going through a lot of reforms to build an effective, efficient,
competitive, and stable banking system
. The study employs both parametric
Stochastic Frontier Analysis (SFA), and non-parametric Data Envelopment
Analysis (DEA). These methods are used to evaluate the cost efficiency of
Syrian banks. The study utilizes a one stage SFA model that includes input,
outputs and the environmental variables (ownership structure, size,
deregulation, market structure, and capital ratio) of cost efficiency
measurements. Moreover, the traditional DEA model has been used with
the aim of comparing the results of the SFA model. The results of SFA
analysis indicate that the cost efficiency of Syrian banks is estimated to be,
on average, 58.8%, while the DEA model results shows an average of 69.5%,
the results also show that private banks are more efficient than state-owned
banks using both SFA and DEA analysis. The study also found that large
banks are more efficient than smaller banks.
