The impact path of farmers’ digital skill enhancement on income growth in the biomechanical perspective
Abstract
In order to explore the impact of digital skills enhancement on farmers’ income growth, the relationship between digital skills, productivity and income was analysed in conjunction with biomechanical optimisation of learning paths. By investigating data from a sample of farmers in four regions, Hebei Province, Jiangsu Province, Guizhou Province and Sichuan Province, it was found that the level of farmers’ digital skills was significantly and positively correlated with annual income growth. The data showed that farmers with higher levels of digital skills had annual income growth rates of 7 to 10 per cent, while farmers with lower skill levels had income growth rates of only 2 to 3 per cent. The biomechanically optimised learning model significantly enhanced farmers’ digital skills learning efficiency by improving postural alignment, finger dexterity, muscular endurance, and neurofeedback, with a 62.7% improvement in learning outcomes. In addition, the optimised interaction design not only reduced operational burden, but also enhanced skill transfer, enabling farmers to apply digital technologies more efficiently for agricultural production and market interface, thereby contributing to income growth. The findings highlight the key role of biomechanics in enhancing farmers’ digital skills and provide theoretical support for the digital development of agriculture.
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