چكيده به لاتين
The purpose of this research was the comparative analysis of factors affecting the overall productivity of production factors in Iran and selected Islamic countries. The method of collecting information was done in the field, library and internet. Data analysis was done by econometrics and panel data. The statistical population is all the Islamic countries of the world and the statistical sample is four countries: Egypt, Iran, Pakistan and Turkey. The findings of the research showed that in the Iran model test, the value of the adjusted coefficient of determination of the model is about 26% of the overall productivity changes in Iran, and the value of Durbin Watson's statistic (1.856) confirms the absence of autocorrelation between the disturbance components of the regression model. . The test of the Turkish model shows that the adjusted coefficient of determination of the model indicates that the independent variables of the model are about 26% of the overall productivity changes in Turkey, and the Durbin-Watson statistic value (1.842) confirms the absence of autocorrelation between the disturbance components of the regression model. The test of the Egyptian model, the value of the adjusted coefficient of determination of the model indicates that the independent variables of the model are about 25% of the changes in the overall productivity of Egypt, and Durbin-Watson's statistic (1.830) confirms the absence of autocorrelation between the disturbance components of the regression model. Pakistan model test, the value of the adjusted coefficient of determination of the model indicates that the independent variables of the model are about 25% of the changes in the overall productivity of Pakistan, and the value of Durbin Watson's statistic (1.863) confirms the absence of autocorrelation between the disturbance components of the regression model. The results of the research showed that the investigations showed that the coefficient of the logarithm of the gross national product in Iran is 0.755. In other words, for one unit change in the logarithm of the national GDP, productivity increases by 0.755 units. Meanwhile, the value of this coefficient in Turkey, Egypt and Pakistan is 0.541, 0.207 and 0.183, respectively. The results show that in Iran, productivity is highly dependent on GDP, while in other countries, this problem is less dependent. The results related to the level of significance and t-statistics show that in all the countries studied, the total gross production has a significant effect on productivity at the level of 0.05
