Application of Discriminant Analysis Model to Study Factors Influencing Ownership of agricultural Machinery in Khorasan Razavi Province

Document Type : Research Paper

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Abstract

 
This paper carried out to investigate the factors influencing ownership of agricultural machinery using a cross sectional data of 210 farmers selected by stratified random sampling in Khorasan Razavi province in 2009 analyzed by discrimination analysis. Results showed that average of age, experience, family size, annual income of the farmer, cultivated area in high price category of technology are statistically significant. Average of age, experience, family size, cultivated area, parcels of farms and annual income of farmer in moderate price category of technology for the choper, sprayer engine, broadcast seeder, mover, and fertilizer sprayer are significant at 1% level. Average of age, experience, family size, cultivated area, parcels of farms and annual income of farmer in low price category of technology are statistically are significant between two groups. Regarding the results, promotion of agricultural income through creating diversity in complementary activities, cultivated area lands expansion, consolidation of agricultural lands, providing ownership motivations in farmers through revision in land rent of Astan Qods Razavi, creating awareness system to farmers about advantages of investment in agricultural machinery through agricultural surplus income, bank credits by providing extensional-educational classes associated to agricultural machinery are suggested.

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