تحليل ميزان نياز به مكانيسم هاي كشاورزي پايدار (مطالعه موردي: استان همدان)

Need analysis in Different Mechanism of Sustainable agriculture (Hamedan Province)

This study analyzes the need of sustainability mechanisms in agricultural development in Hamedan province by recognizing, formulating and ranking of need to appropriate mechanisms. This study was an applied and descriptive research with survey research design. The statistical population of the study includes; academician, researcher and experts that involved in relevant agricultural development organizations of Hamedan province. The all of statistical population were selected and studied. Data were collected using interview method and a questionnaire which was validated by a jury and its reliability was confirmed through pre-test of data tool and Cronbach Alpha, and Its value was found equal to 87 percent which is acceptable. The descriptive analysis show that in the economic mechanisms, income insurance of farmers with 0.170 coefficient of variance, activating sustainable supply networks with 0.217 coefficient of variance, and subsidy allocation to conservationism technologies and methods with 0.232 coefficient of variance laid in the first to third rank of mechanism needs; In the control mechanisms, mechanisms of controlling of product standards stand in the first priority with 0.213 coefficient of variance, also chemical usage rules and regulations of control, and controlling of technology product and usage standards stand in the second and third position; In the social aspect, mechanisms of education and promoting public knowledge about unsustainable activities with 0.181 coefficient of variance, improvement of organizations and institute functions with 0.224 coefficient of variance, and organizing farmers for the propose on affecting to agricultural policies with 0.246 coefficient of variance, were stand in the first to third priorities. The results of factor analysis recognized four main factors such as Monitoring, Economic, Social and institutional and Supportive mechanisms with 59.549 explained variance. The findings could be used by national and provincial agricultural development planner and policy maker in decision making process. Also, these results could contribute to agricultural related organizations and institutions as well as interested researchers and practitioners.