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This study was conducted to investigate the factors affecting the adoption of organic farming in Peshawar-Pakistan. A total of 100 respondents were randomly selected from the four different cultivated areas of Peshawar, namely Palosi, Regi, Ternab and Pushtakhara. Binary logistic re-gression was used in this study to categorize the organic farming into adoption and non-adoption. The purpose of this model was to check the event probability for a categorical response variable with two outcomes. The results of the binary logistic show that factors affecting adoption of organic farming have a significant effect on the farmer productivity. Moreover, cost, productivity, profitability, compatibility and efficiency have a positive and significant effect. Thus, it is obvious that adopting organic farming not only to increase the farmer income but also to protect environmental pollution by avoiding the toxic chemical and fertilizer. Finally, we suggest that government agencies, extension and research institution should play a vital role to strengthen the awareness and advantages of organic farming.
Ullah et al. (Thu,) studied this question.
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