دراسة تأثير بعض العوامل على عدد ساعات تجهيز الكهرباء اليومي في مدينة بغداد باستعمال تحليل المسار

Abstract EN

Factors affecting the number of hours of electricity supply in Baghdad city were studied.

The sample consisted of (365) daily observations for 2018 and was represented by six variables used in the study.

The main objective was to study the relationship between these variables and to estimate the effects of predictor variables on the dependent variable (number of hours of electricity supply in Baghdad).

To achieve this, structural equation modeling/path analysis and AMOS, multi-linear regression model analysis using SPSS.

It is clear from the latter that there are statistically significant relationships between study variables, and that there is a significant effect of the predictive variables combined in the dependent variable (y), and using EViews.

Using the structural equation modeling, it was found that the most predictor variables explained the variance of the dependent variable (x3), explaining )35.64 %( of the total variance, while the other variables (x4, x1, x5, x2) interpreted (5.47%, 0.88%, 0.59%, 0.14%) respectively of the contrast.

According to the indicators of appropriateness assessment, it was found that the proposed structural model did not achieve acceptable suitability for the study data.

Some specialists attributed this to the quality of the official statistical data obtained by the researcher, as it is not a reflection of reality