Research on the mechanism of AI-empowered agricultural machinery socialized services in improving rice production technical efficiency:An empirical analysis based on smart agricultural machinery applications in Shandong Province

doi:10.14088/j.cnki.issn0439-8114.2026.01.034

Abstract

Abstract: Based on survey data from rice farmers in Shandong Province in 2023, the translog stochastic frontier model and Tobit model were used to empirically examine the impact pathways of AI-empowered agricultural machinery socialized services on rice production technical efficiency. The results showed that smart agricultural machinery services significantly improved rice production technical efficiency by 11.2% through artificial intelligence technologies. AI enhanced efficiency through three main pathways: intelligent decision support, dynamic factor optimization, and full-process collaborative division. Heterogeneity analysis revealed that AI delivered the highest efficiency gains in land preparation and harvesting, with small-scale farmers benefiting most significantly from AI service outsourcing. It was recommended to promote an AI-enabled agricultural machinery socialization service system and build a "cloud platform + intelligent equipment + data services" smart agriculture ecosystem.

Key words: smart agricultural machinery, artificial intelligence(AI), rice production technical efficiency, stochastic frontier analysis, socialized service, Shandong Province

CLC Number:

HAN Ji-cai, YUAN Xin. Research on the mechanism of AI-empowered agricultural machinery socialized services in improving rice production technical efficiency:An empirical analysis based on smart agricultural machinery applications in Shandong Province[J]. HUBEI AGRICULTURAL SCIENCES, 2026, 65(1): 233-239.

References

[1] 孙顶强, 卢宇桐, 田旭. 生产性服务对中国水稻生产技术效率的影响——基于吉、浙、湘、川4省微观调查数据的实证分析[J]. 中国农村经济, 2016(8): 70-81.
[2] 杨思雨, 蔡海龙, 丁志超. 农机社会化服务对小麦生产技术效率的影响[J]. 中国农业资源与区划, 2022, 43(3): 97-105.
[3] 张泽文, 张德硕, 崔茂森. 农机社会化服务对粮食绿色生产效率的影响分析[J]. 中国农机化学报, 2023, 44(8): 221-230.
[4] 韦成宇, 姜军松. 农机社会化服务、要素配置与农业粮食生产效率[J]. 中国农机化学报, 2025, 46(5): 312-321,333.
[5] 袁澳, 吴雪莲, 李傲波. 农机社会化服务对城乡经济融合发展的影响研究——以长江经济带为例[J]. 中国农机化学报, 2024, 45(3): 296-303.
[6] 闵锐, 陈霞, 王艳婷, 等. 偏向性技术进步视角下水稻全要素生产率增长研究[J]. 农业现代化研究,2025,46(3): 519-526.
[7] 童彤, 戴浩, 魏君英, 等. 农机社会化服务绿色效率的时空动态演进及其影响因素研究[J]. 中国农机化学报,2024,45(3): 287-295.
[8] 李道亮. 未来农业超乎你想象[J]. 农产品市场,2025(8): 50-53.
[9] 刘彩灵. AI技术赋能农业农村现代化研究[J]. 中国农业资源与区划, 2025, 46(4): 239,260.
[10] 徐春春, 纪龙, 陈中督, 等. 2023年我国水稻产业形势分析及2024年展望[J]. 中国稻米, 2024, 30(2): 1-4.
[11] 李寅秋, 郭冰, 张萌. 我国农机科技社会化服务体系发展现状研究[J]. 中国农机化学报, 2023, 44(3): 242-248.
[12] 王坤, 吴瑕玉, 褚红春, 等. 农机社会化服务供需对接平台架构研究[J]. 西南农业学报, 2023, 36(12): 2829-2836.
[13] 贺登科, 何蒲明, 魏君英. 信息获取渠道对农机社会化服务的影响研究——基于非农就业视角[J]. 中国农机化学报, 2024, 45(4): 328-336.
[14] 洪炜杰. 外包服务市场的发育如何影响农地流转?——以水稻收割环节为例[J]. 南京农业大学学报(社会科学版), 2019, 19(4): 95-105,159.
[15] BATTESE G E, COELLI T J.A model for technical inefficiency effects in a stochastic frontier production function for panel data[J]. Empirical economics, 1995, 20(2): 325-332.
[16] 罗锡文, 廖娟, 胡炼, 等. 我国智能农机的研究进展与无人农场的实践[J]. 华南农业大学学报, 2021, 42(6): 8-17,5.
[17] 刘天军, 蔡起华. 不同经营规模农户的生产技术效率分析——基于陕西省猕猴桃生产基地县210户农户的数据[J]. 中国农村经济, 2013(3): 37-46.
[18] 田红宇, 冯晓阳. 土地细碎化与水稻生产技术效率[J]. 华南农业大学学报(社会科学版), 2019, 18(4): 68-79.
[19] 章立, 余康, 郭萍. 农业经营技术效率的影响因素分析——基于浙江省农户面板数据的实证[J]. 农业技术经济, 2012(3): 71-77.
[20] 薛信阳, 韩一军, 高颖. 农机社会化服务对粮食生产技术效率的影响——基于四省小麦和玉米种植户的调查[J]. 农村经济, 2024(1): 10-19.
[21] 李琪, 李凯. 病虫害防治托管对技术效率的影响——基于横向分工与纵向协同视角[J]. 资源科学, 2022, 44(10): 1964-1979.