Determination of Influencing Factors for Integrated Pest Management Adoption: A Logistic Regression Analysis

Abstract

Adoption of an environment friendly agricultural technique, namely Integrated Pest Management (IPM) depends on various socio-economic and demographic factors. This study attempts to determine the factors that influence farmers’ decision to receive IPM. For analysis purpose several socio-economic and demographic information were collect from 617 farmers of five division (Dhaka, Chittagong, Rangpur, Khulna, Barisal), Bangladesh by prepared a structured query. To ensure randomness, simple random sampling technique was used for data collection. Farmers’ ten background characteristics were analyzed in both bivariate and multivariate setup. In bivariate setup, association between selected factors and adoption status of IPM were investigated by performing a chi-square test. To get the adjusted effect, a binary logistic regression model was estimated in multivariate setup. The results of the model provide evidence that farmers’ age, education level, farming experience, training on IPM and membership status of IPM club are the highly significant (P<0.05) factors for IPM adoption. Farm ownership status and Barisal division also found significant (P<0.10) factors for IPM adoption in Bangladesh.