Research on farmers’ willingness to apply digital agricultural technology and its influencing factors：Taking the sixth division of Xinjiang Production and Construction Corps as an example

doi:10.14088/j.cnki.issn0439-8114.2023.02.022

Abstract

Abstract: Based on the theoretical analysis, the hypothesis of factors that might affect farmers’ technology application intention was put forward, the structural equation model was established from farmers’ individual characteristics, family characteristics, technical cognition, technical service perception, technical characteristics perception and technical benefit perception according to the field survey data of 314 farmers, and the multi-group analysis based on the individual characteristics of farmers was conducted. The hypothesis results indicated that technical characteristics perception had the greatest impact, followed by individual characteristics, family characteristics and technical service perception, and technical cognition and technical benefit perception had the least impact. The multi-group analysis result indicated that age, whether to attend cooperatives and whether to be the staff of corps （company） showed significant differences in the effect of technical characteristics and technical benefit perception, technical cognition, and family characteristics on technology application willingness, while gender and cultural level showed no significant difference. Some individual characteristics of farmers would affect other factors, thus affecting their willingness to apply technology. Based on this, some countermeasures and suggestions to promote farmers’ active application of digital agricultural technology were put forward.

Key words: digital agriculture technology, influencing factors, structure equation model, multi-group analysis, Xinjiang

CLC Number:

F323.3

LIU Ying, WANG Hua-li. Research on farmers’ willingness to apply digital agricultural technology and its influencing factors：Taking the sixth division of Xinjiang Production and Construction Corps as an example[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(2): 116-124.

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