Effect of Selected Factors on Adoption of Organic Agriculture Certificate: A Logistic Regression Approach

Abstract

This study investigates the differences in organic farmers demographics and marketing between certified and non-certified farmers in India. By analysing these differences, it aims to provide useful information for policymakers to optimise resource allocation for certification of organic products and certification laboratories, the easy process of certification with infrastructural availability, cost- and time- sensitisation, and the centralisation of the certification system for organic farming. In this cross-sectional investigation, both certified and non-certified organic farmers were included. The investigation consists of 300 organic farmers. Before employing logistic regression models to identify the relation between a binary dependent variable (organic certificate adoption) and independent variables, we evaluate the available literature that affects the adoption of different required standards of agriculture to select the most crucial predictor variables. The results of a binary logistic model revealed that the adoption of organic agriculture certification depends on some demographic and marketing factors. Gender, experience, training, marketing infrastructure support, existing distribution and promotion support have a positive and significant effect on the adoption of an organic agriculture certificate. Organic agriculture is becoming increasingly popular around the world due to its growing demand. Indian farmers have a unique opportunity to take advantage of this trend by increasing their profitability while reducing the environmental impact of conventional farming methods. However, uncertified producers struggle to compete in the international market, highlighting the importance of organic certification for long-term sustainability and market access.

Keywords: Organic Agriculture, Certification, Adoption, Organic Products, Market

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