چکیده:
In the context of economic sector convergence, the convergence theory in its initial form predicts that economic growth and labor productivity among different economic sectors of countries will converge. Convergence means that those sectors which have lower income and wealth compared to other sectors enjoy higher economic growth rates and higher productivity growth rates, such that all sectors become closer to each other in terms of productivity and economic growth. In this research, using econometric methods, the convergence trend in labor productivity between selected economic sectors (agriculture and industry) in Iran during the years 1365-1390 has been analyzed under the influence of government fiscal policy. The results obtained indicate the convergence of productivity in the agricultural and industrial sectors in beta convergence models and the divergence of productivity of the aforementioned sectors in the sigma convergence model, and the intervention of government fiscal policies reduces the degree of convergence.
خلاصه ماشینی:
In the following, the estimation of unconditional beta convergence (without considering government policy variables) based on a linear model is examined; the result is observed as follows: (refer to the page image) The results obtained in the above equation indicate that all coefficients except for the value-added coefficient are statistically significant, and the beta coefficient, which represents the speed and rate of convergence, is negative as expected in this equation and is significant at the 5 percent level, equaling 3.
Results of conditional convergence considering sectoral disaggregated variables and also government policy variables (refer to the page image) Source: Researcher's calculations According to the table, the beta coefficient, which is the annual productivity convergence speed, is -1.
Again, the estimation of this model, which is actually the final model of this research, is carried out based on a linear model, the result of which is observable as follows: (refer to the page image) The results obtained indicate that all coefficients are statistically significant, and the beta coefficient, which represents the speed and rate of convergence, is negative as expected in this equation and is significant at the 5 percent level.
Now, the unconditional convergence model can be estimated based on the following linear model: (refer to the page image) The obtained results indicate that all coefficients are statistically significant, and the beta coefficient, which represents the speed and rate of convergence, is negative as expected in this equation and is significant at the 5 percent level, equaling -3.
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