Ascertain the Farmers and Traders’ Willingness to Participate in E-National Agriculture Market (eNAM): Binary Logistic Regression Analysis
Sandeep Gautam
Department of Agricultural Economics, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) – 224 229, India.
Supriya
Department of Agricultural Economics, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) – 224 229, India.
Harshit Mishra
Department of Agricultural Economics, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) – 224 229, India.
Vishal Gupta
Department of Agricultural Economics, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) – 224 229, India.
Prateek Kumar
Department of Agricultural Extension, Bundelkhand University, Jhansi (U.P.) – 284 135, India.
Ankit Kumar Shakya
Department of Agricultural Economics, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) – 224 229, India.
*Author to whom correspondence should be addressed.
Abstract
National Agriculture Market (e-NAM) is an electronic trading portal that networks the existing APMC markets to create a unified national market for agricultural commodities. The main aim of the study was to determine the willingness to participate in e-NAM trading by farmers and traders in Sultanpur district of Uttar Pradesh. The primary data was collected through 90 farmers and 30 traders by face-to-face interview with the help of survey schedule; this study was conducted in 2021-22, to find out the willingness, Binary Logit regression model was used. In the study the explanatory variables of farmers were social category, age of the respondent, education, produce sold to arhatiya or village traders and istance from mandi, according to analysis if education increased then willingness of farmers also increased with a coefficient of 3.27 similarly if the farmer is selling his produce to mandi arhatiya rather than a village trader then his probability to participate in e-NAM will increase by about 2.38 times. On other hand explanatory variables of Traders were social category, age of the traders, education level of traders, lending money to farmer, number of functions involved by traders in mandi and Business profits etc. All explanatory variables are significantly but only one variable which was not significantly i.e. Business profits because traders were afraid that their income will be known.
Keywords: APMC, binary logit regression model, explanatory variables, virtual market