Investigate the Effect of Mechanization on Productivity of the Iranian Agricultural Sector (Use a Comparative Approach ARDL and Genetic Algorithms)

Document Type : Research Paper

Authors

1 Associate Professor / University of Kerman martyr

2 Graduate student / martyr Bahonar University

3 PhD. Student University of Tehran

Abstract

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. So, at the fifth development pla, it is stated that a third country's economic growthbe achieve through productivity growth. To achieve this goal, for the agricultural sector, is depended 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, the econometric model estimated and genetic algorithm related factors 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 in ARDL is 0/129 and in Genetic Algorithms 0/098 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.
 

Keywords

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Iranian Journal of Agricultural Economics and Development Research
Volume 48, Issue 1
June 2017
Pages 9-22

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