Investigate the Effect of Mechanization on Productivity of The Iranian Agricultural Sector (Use A Comparative Approach Autoregressive Distributed Lag Model and Genetic Algorithms) Mohammad Reza Zare Mehrjerdi, Mojtaba Nikzad, Sasan Esfandiare

limited resources of the agricultural sector, the use of appropriate technology for optimal use of scarce resources to ensure food security has become a necessity. Such that fifth development plan established in a third country's economic growth through productivity growth achieved. To achieve this goal, for the agricultural sector depends on the mechanization. The purpose of this study is to investigate the effects of mechanization on productivity growth of the agricultural sector. So first with Malmquist productivity index, index of total factor productivity of the agricultural sector for the period 1391- 1368 reviewed And then estimate the econometric model and genetic algorithm related factors have been evaluated. The results showed that GA is a powerful tool for estimating the models. The results of both approaches indicate that the rate of mechanization and credit facilities and education, promoting the agricultural sector has a positive effect on productivity growth. The estimated coefficient for mechanization ratio is 0/129 in the long run which shows the variable ineffective on the productivity of the agricultural sector is relatively high. The price index and the degree of openness the variable changes sign from negative to positive in the short term To the long term the need for correct support policies for farmers to compete and adapt to economic conditions, insists.