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.
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 research studied the use of taxes in Syria as an important tool in influencing one of the variables important economic (consumption) between the years (2000-2010). These taxes and fees are used (for example) to support an increase in the consump
tion of some goods that are considered commodities and necessary, or to try to reduce the amount of consumption of luxury goods.
The Syrian legislator made during the period studied adjustments numerous tax (especially fee consumer spending) to influence the amount of the domestic consumption, for the consuming public or consuming particular. There was a major adjustment in tax rates of some of the direct taxes and the expansion of the base of goods and services that are subject to certain types of indirect taxes, and to draw them where consumer spending has spread to some of the essential commodities.
