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.
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..