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Register a new userUsing discriminating analysis of Classifying householders' spending in Syria during some economic factors
استخدام التحليل التمييزي لتصنيف الإنفاق الاستهلاكي للأسرة في سورية بناء على بعض العوامل الاقتصادية
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هدفت هذه الدراسة إلى تصنيف الإنفاق الاستهلاكي للأسرة في ثلاثة مستويات (عال، متوسط، منخفض)، و معرفة أياً من العوامل الاقتصادية المأخوذة في الدراسة تؤثر بشكل معنوي على التصنيف، و أياً منها تؤثر بشكل غير معنوي، كما يهدف البحث إلى معرفة فيما إذا كان النموذج المقترح في التصنيف معنوياً أ لا.
This study aimed at classifying householders' spending into three levels (high, moderate and low) and identifying which of the considered economic factors have a significant impact on the classification and which have not. In addition, this study aimed at deciding whether the suggested classifying model is statistically significant or not.
References used
انفتاح النافذة الديمغرافية تحديات وفرص، التقرير الوطني الثاني، الهيئة السورية . لشؤون الأسرة. دمشق، سورية، 2011 ، ص 88
تقرير الاستثمار الرابع في سورية، 2009 ، هيئة الاستثمار السورية، ص 16.
BROWN, S,2000- Multivariate and Mathematical Modelling. University of Florida, USA, 383p
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This study aimed at identifying the best indicators representing economic factors
using Factor Analysis, as well as developing a mathematical model linking principal
components which represent both the economic factors and consumer spending in Syri
a
using Multi-linear regression analysis. A descriptive analytical approach is used in this
study.
The study results from Factor Analysis show that there are three principal
components which best represent the economic factors. The first component includes: the
number of workforce working for free, the number of paid workforce, consumer price
index, the average annual GDP per capita. The second component includes: interest rate,
self-employed workforce. The third component includes the number of employers.
A mathematical model is developed to link the above three components of the
economic factors and the total monthly household spending average in Syria during (
2000-2010).
This study aims to determine the difference of householder spending values between the Syrian provinces. It also aims to find out which of the components and the various items of expenditure, that contributed significantly to the occurrence of this d
ifference and disparity between provinces , where cluster analysis method was used to find out this difference and classification .
The most important results that have been reached: The result of cluster analysis is that there are three groups of Syrian provinces , the first group included the provinces of high householder spending such as Damascus province , the second group included the provinces of medium householder spending such as: Rural Damascus , Homs , Tartus , Lattakia , Al-Sweida , Daraa , Al – Quneitra .
The third group included the provinces of low householder spending such as: Hama , Idleb , Aleppo , Al-Rakka , Deir-ez-Zor , Al-Hasakeh .
Accordingly , that most important components and variables of householder spending, which contributed to the classification of the Syrian provinces of homogeneous groups are spending on housing , spending on education , spending on health , spending on transport and communications .
This study aimed at using Multi-Variables Analysis in classifying household
spending in Syria and identifying which of the social factors considered in the study
influence significantly this classification and which do not.
The most prominent resu
lts were: the possibility of classifying household spending
into three levels (high, medium and low), there is a statistical significance of the factors
(the percentage of urban population to total population, university education and above,
number of married people and those in marriage age ) on the household spending
classification. There is no statistical significance of the factors (educational levels below
university education, non-married people, divorced or being widowed) on the household
spending classification.
This paper deals with the insurance sector in the Syrian Arab
Republic during the period between 1990-2012, we studied the
impact of economic and demographic factors on the demand for life
insurance size.
It was considered the volume of life insu
rance premiums indication
of the size of the demand for life insurance, also we study the
impact of some determinants on the demand / income -
unemployment - interest rate - inflation - life expectations -
education - urbanization /. A statistical analysis by spss to study
variables program was carried out, in order to reach the most
important determinants affecting the insurance demand, income and
the inflation and the interest rate are the most effective determinant
in influencing the insurance demand, While statistically significant
for the rest of determinants effect does not appear.
The research focuses on the demands on the study of the total investment evolution,
agricultural, investment and knowledge of the nature of the changes taking place during the
period (2000-2011), and evaluate the performance of the economy and its
ability to attract
investments from the lack of it, in addition to the analysis of the factors affecting the total
investment, agriculture and investment in Syria. Using descriptive and analytical approach,
and quantitative analysis of the record, and it was the most important findings: that the
annual growth of the net balance of payments is negative rate and the rate of 18.35-%,
which will result in the deterioration of its value from year to year, as demonstrated by the
total flexibility to function total investment transactions that increase the value of both
exports College (x1), and foreign reserves (X3), and the deficit in the state budget (X8) 1%
can lead both to increase the total investment by 3.5%, in total flexibility transactions to
function agricultural investment showed that the increase in the value of each of the total
exports GNP (X2), and foreign reserves (X3), the net balance of payments (X6) 1% can
lead both to increase the total investment by 22.3%, and is the former variables of the most
important determinants-oriented investment product and agriculture in Syria. Accordingly
it requires the Syrian economy in order to increase its investments create the economic
climate, and political investment and economic development.
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