Wang Yanfei, Xu Guandong, Cao Jie, Chen Yanchi, Wu Jia
Institute of Food and Strategic Reserves, Nanjing University of Finance and Economics, Nanjing, Jiangsu, China.
Research Facility of Data Science and Artificial Intelligence, The Education University of Hong Kong, Hongkong, China.
PLoS One. 2025 Apr 23;20(4):e0320318. doi: 10.1371/journal.pone.0320318. eCollection 2025.
Agricultural social services (ASS) are crucial in alleviating resource constraints and advancing agricultural modernization. Using the data derived from the China Land Economic Survey (CLES2022), this study empirically investigates how digital literacy influences farmers' adoption of ASS, employing both Probit and Propensity score matching (PSM) models. Additionally, it explores the mediating roles of long-term production vision and part-time employment degrees in this relationship. The findings are: (1) digital literacy exhibited a statistically significant positive effect on farmers' adoption of ASS at the 1% significant level. Moreover, this impact varied among participants in technology training, different education levels, and varying levels of risk preference; (2) long-term production vision and part-time employment degrees act as mediators, enhancing the positive impact of digital literacy on farmers' adoption of ASS. Based on these findings, recommendations have been developed to improve farmers' digital literacy, promote the adoption of ASS, and enhance farmers' long-term production vision as well as degree of part-time.
农业社会服务在缓解资源约束和推进农业现代化方面至关重要。本研究利用中国土地经济调查(CLES2022)的数据,运用Probit模型和倾向得分匹配(PSM)模型,实证研究了数字素养如何影响农民对农业社会服务的采用。此外,还探讨了长期生产愿景和兼业程度在这种关系中的中介作用。研究结果如下:(1)数字素养在1%的显著水平上对农民采用农业社会服务具有统计学上的显著正向影响。此外,这种影响在技术培训参与者、不同教育水平以及不同风险偏好水平之间存在差异;(2)长期生产愿景和兼业程度起到中介作用,增强了数字素养对农民采用农业社会服务的正向影响。基于这些研究结果,提出了提高农民数字素养、促进农业社会服务采用以及增强农民长期生产愿景和兼业程度的建议。