Analysis of Farmers’ Willingness to Use Blockchain and Influencing Factors Based on the Binary Logit Model

Abstract

Blockchain is the frontier of modern science and technology, and promoting its application in agriculture is of great significance to agricultural development. Taking the farmers who are essential agricultural subjects as the research object, this paper applies the binary Logit model to investigate the farmers’ willingness to apply blockchain and its influencing factors. Based on rigorous analyses of research data and models, the main research conclusions are obtained. First, at the current stage, Chinese farmers are not very receptive to the blockchain, most of whom are unwilling to apply it to agricultural production and operation. Second, farmers’ age and participation in agricultural training exert a remarkable negative impact on their willingness to apply blockchain. Third, the education level of farmers, the highest education level of their family, the annual income of crops per mu, government subsidies, the application of agricultural information technology, and the degree of their understanding of blockchain impose a remarkable positive impact on their willingness to apply blockchain. According to the analysis results, the following suggestions are put forward: (1) strengthen education and training to improve farmers’ understanding of blockchain; (2) strengthen financial support and provide equipment subsidies and tax relief for farmers who apply blockchain; and (3) implement demonstration projects and take the lead in applying blockchain by supporting family farms, large planters, and other agricultural business entities with demonstration effects.