关键词: 农村供需主体, 智慧农机, 推广应用, 支持意愿, 认知情况

Abstract: Smart agricultural machinery is widely used in the market, and also contributes to the development of modern agriculture. A questionnaire survey was conducted among the rural supply and demand subjects in Hebei province to understand the cognition and support willingness of the supply and demand parties to the smart agricultural machinery service. The results showed that on the supply side of agricultural machinery, these variables had a good degree of explanation to support the intention to promote and apply smart agricultural machinery. These variables were education level, whether they are satisfied with the purchase subsidy of intelligent agricultural machinery in China, whether they think the promotion of intelligent agricultural machinery in China is in place, whether they think the promotion level of intelligent agricultural machinery is synchronized with the popularization of information technology, and whether they are satisfied with the type and level of intelligent agricultural machinery equipment structure. The prediction accuracy was 82%, and the overall effect of the model was well fitted. On the demand side of agricultural machinery, the prediction accuracy reached 74.3%, and the model had statistical significance. However, factors such as age structure of agricultural machinery demanders, approximate annual income, and whether the policy support for intelligent agricultural machinery technology and research and development needed to be changed at the present stage in China were not enough to explain the support intention for the promotion and application of smart agricultural machinery. Finally, some measures such as improving the educational cognition level of agricultural machinery supply and demand subjects, promoting the popularization level of intelligent agricultural machinery, improving the types and levels of intelligent agricultural machinery equipment structure, and strengthening the government’s subsidy for the purchase of intelligent agricultural machinery were put forward.

Key words: rural supply and demand entities, smart agricultural machinery, promotion and application, willingness to support, cognitive situation