In the light of the circumstances in the contemporary world of privatization, this research aims to study the effect of the privatization on the technical efficiency of container terminal using Stochastic Frontier Analysis, the study has applied on t
he most important Mediterranean container terminals. The results concluded that the technical efficiency rate was 76.17%. The full private ownership of container terminals does not reflect the high levels of technical efficiency. The full public ownership of container terminals also did not reflect the high levels of technical efficiency, but it is the best of the private sector. However, the technical efficiency of public container terminal can be improved with participation of the private sector, and advised partnership between the public sector and the private sector with rate of 38.5% according to the results of research.
Container terminals are different in the degree of service for container ships, which
increased recently and especially in the Mediterranean, also differ in use of the amount of
inputs required for operational process, which create the problem of d
eclining technical
efficiency of container terminals Mediterranean. Therefore, the researcher measured the
efficiency (12) a major container terminal in the Mediterranean in 2010, using the Data
Envelopment Analysis (DEA). Where the inputs: Number of quay cranes, and space of
terminal, and the output was the annual throughput of containers. The practical results
showed that the rate of technical efficiency – (CRS) was 49%, while the rate of technical
efficiency – (VRS) 69.3%. Tangier container terminal achieved the best level of technical
and scale efficiency, While Mersin, Algeciras, and Tartous achieved the technical
efficiency only, while remaining terminals did not achieve any efficiency, Therefore
advisable to reconsider in their used inputs to improve their efficiency.
This study aimed to measure technical efficiency of Islamic banks
in Syria. This study used data envelopment analysis (DEA) method
to estimate overall, pure and scale technical efficiency during the
period (2010-2015). to that end, constant return
to scale model and
variable return to scale model was used. It has also been using
windows analysis technique in order to follow banks performance
during the studied period.
This study also followed Intermediation approach for the choice of
variables banking inputs and outputs.
This research aims to show the importance of ensuring the
competence of all who operate specific equipment, perform tests
and/or calibrations, evaluate results, and sign test reports and
calibration certificates.
Internal and external data users are interested in financial data analysis, because of
their need to obtain financial information about the company and to know the strength of
its financial position. Although ratio analysis is always considered as
one of the best
financial statements analysis methods, but its interpretation is often difficult and
controversial. Where each group of ratios can only show a single financial dimension, thus
it may be difficult, when analyzing financial statements, tointe grate the results of different
groups of financial analyses.
So, an approach namely Data Envelopment Analysis, which is used in this research
with Window approach by using variable returns of scale model, known as BCC related to
researches Banker, Charnes and Coopers. In order to study the efficiency of the 19 subcompany
of the General Establishment for food industries during the period 2008-2010.
And also to study the direction of performance changes, in order to determine the best and
the worst company through the company's efficiency using Super-Efficiency model.
The study results showed that the number of efficient companies are six, and the
number of inefficient companies are 13. Also showed that the Boken Water Company got
the highest efficiency, and the company conserves Hasaka got less efficiency. All
companies have less efficiency during the study period.
الكفاءة الفنية
Technical Efficiency
تحليل مغلف البيانات
Data Envelopment Analysis
نافذة تحليل مغلف البيانات
عوائد الحجم الثابتة
عوائد الحجم المتغيرة
مؤشرات ذات التوجيه الإدخالي
مؤشرات ذات التوجيه الإخراجي
الكفاءة الحجمية
Window Data Envelopment Analysis
Constant Return of Scale
Variable Return of Scale
Input Oriented Measures
Output Oriented Measures
Scale Efficiency
المزيد..
The aim of this research was to measure the technical efficiency of cotton farms
with surface irrigation system using Data Envelopment Analysis (DEA) in the field
school in Idleb governorate. Preliminary data was collected based on field surveys,
and random sampling. 34 farms in the villages of Meless and Segar were chosen
for the season 2014.
