Analyze of Effective Factors on Non-adoption of Organic Farming of Rice (Case Study: Rural Areas of Sowme'eh Sara County)

Subject Areas : Urban and Regional Planning Studies

Mohammad Reza Safari Motlagh ¹ , Maryam Moradi ² , Behzad Kaviani ³

1 - Associate professor, Dep. of Plant Protection, Faculty of Agriculture, Rasht Branch, Islamic Azad University, Rasht, Iran
2 - Graduate Student of Agricultural Management, Dep. of Agricultural Management, Rasht Branch, Islamic Azad University, Rasht, Iran
3 - Associate professor, Dep. of Horticulture, Faculty of Agriculture, Rasht Branch, Islamic Azad University, Rasht, Iran

Received: 2020-01-26 Accepted : 2020-06-23 Published : 2021-01-20

Keywords: Rice, Organic farming, non-adoption factors, Sowme'eh Sara,

Abstract :

Organic farming is the best method for the production of healthy agricultural products. The current research is a descriptive-survey study focused on correlation and comparison. In this research, data were collected by a research made questionnaire and that its validity was confirmed by a panel of experts, and its reliability was measured through Cronbach's alpha formula (0.907). The relationships between independent and the dependent variables were determined by Pearson's correlation coefficient. The statistical population of this research consisted of 50 experts and 100 paddy farmers of Sowme'eh Sara county that were selected by random sampling procedures. The results of this investigation showed a relationship between the dependent and independent variables and thus it was confirmed (P < 0.05) that the impact of the three independent variables was significant on dependent variable at 0.95 level. As a result, all factors as independent variables were effective on the rejection of organic farming. Pearson correlation test showed that all hypotheses were confirmed. Duncan’s test also indicated that there was a significant difference in terms of the rejection of organic farming of rice among the existing factors namely individual characteristics, social factors and economic factors.

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