Abstract
Factors affecting the number of hours of electricity supply in Baghdad city were studied.The sample consisted of (365) daily observation for 2018, and were 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 an 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
DOI
10.33095/jeas.v26i117.1826
Subject Area
Statistical
First Page
492
Last Page
506
Recommended Citation
Haddow, A. A., & Salih Owaid, S. R. (2020). Study Impact of Some Factors on Daily Number of Hours Providing of Electricity in Baghdad City Using Path Analysis. Journal of Economics and Administrative Sciences, 26(117), 492-506. https://doi.org/10.33095/jeas.v26i117.1826
