[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-108":3,"related-108":60},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":34,"primary_topic":8,"secondary_topics":39,"classification":40,"search_phrases":53,"slug":56,"view_count":57,"doi":58,"paper":8,"created_at":59},108,"数字化背景下农村居民生活方式低碳转型研究综述","https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008","丁凡琳综述数字化背景下农村居民生活方式低碳转型研究进展,系统梳理数字技术对农村居民消费、出行、能源使用等低碳行为的影响机制,提出未来研究方向。",null,"欢迎您访问《智慧农业（中英文）》官方网站！[English](https:\u002F\u002Fwww.smartag.net.cn\u002FEN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 1](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 2](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner_mobile.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 3](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fyyzkj.png)](https:\u002F\u002Fpano.bookan.com.cn\u002F?id=60704&cid=352)\n\nToggle navigation[智慧农业](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008)\n\n*   [网站首页](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n*   [期刊介绍](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn133.shtml)\n*   [编委会](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn153.shtml)\n*   [投稿指南](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn135.shtml)\n*   [期刊服务](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn124.shtml)\n*   [下载中心](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn126.shtml)\n*   [联系我们](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn127.shtml)\n\n[Smart Agriculture](https:\u002F\u002Fwww.smartag.net.cn\u002F) ›› [2026](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026), [Vol. 8](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026) ›› [Issue (3)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fvolumn\u002Fvolumn_841.shtml): 119-131.doi: [10.12133\u002Fj.smartag.SA202512008](https:\u002F\u002Fdoi.org\u002F10.12133\u002Fj.smartag.SA202512008)\n\n• 专刊--数字技术赋能与农业经济范式转型 •[上一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22793.shtml)[下一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22762.shtml)\n\n### 数字化背景下农村居民生活方式低碳转型研究综述\n\n丁凡琳 1,2([![Image 4](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:fanlinding@nankai.edu.cn))\n\n1.   1. 南开大学周恩来政府管理学院，天津 300350，中国\n\n2. 南开大学计算社会科学实验室，天津 300350，中国\n\n*   `收稿日期:`2025-12-09 `出版日期:`2026-05-30 \n*   `基金项目:`国家自然科学基金项目(72404151); 中央专项资金项目(63262094) \n\n*   `通信作者:`丁凡琳，博士，副教授，研究方向为低碳治理、城乡融合、数字治理。E-mail：[fanlinding@nankai.edu.cn](mailto:fanlinding@nankai.edu.cn) \n\n### The Low-Carbon Transition of Rural Residents' Lifestyle through Digital Empowerment: A Review\n\nDING Fanlin 1,2([![Image 5](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:fanlinding@nankai.edu.cn))\n\n1.   1. Zhou Enlai School of Government, Nankai University, Tianjin 300350, China\n\n2. Nankai University Computational Social Science Laboratory, Tianjin 300350, China\n\n*   `Received:`2025-12-09 `Online:`2026-05-30 \n*   `Foundation items:`National Natural Science Foundation of China(72404151) \n\n*   `Corresponding author:`DING Fanlin, E-mail: [fanlinding@nankai.edu.cn](mailto:fanlinding@nankai.edu.cn) \n\n## [在线阅读 3](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)\n\n## [知网下载](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008)\n\n## [本地下载 21](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#1)\n\n[_![Image 6](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Fknowledge\\_map1.png)_ ## 可视化 0](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Flexeme\u002FshowArticleByLexeme.do?articleID=22704)\n\n#### [摘要\u002FAbstract](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008)\n\n**摘要：**\n\n**【目的\u002F意义】** 确立“双碳”目标以来，促进居民生活方式低碳转型成为高质量发展的重要议题。本文通过对国内外相关文献的述评，旨在归纳当前农村居民生活方式低碳转型的难点与数字化赋能的可行路径，为该领域研究及相关政策设计提供参考。 **【进展】** 通过梳理居民行为研究的主流理论与研究进展，提出当前农村居民生活方式低碳转型的难点主要表现为居民行为需要外部因素强刺激和意识转变还需内在认知渐浸润。进而从数字技术、数字平台两个维度探究数字化背景下农村居民生活方式低碳转型的可行性，并从国家和地方层面对低碳行为驱动政策的研究进行了评述。 **【结论\u002F展望】** 数字化发展可以通过数字技术提升居民生活体验与效率、以数字金融产品与服务形成新兴载体、以信息的数字化传播扩展认知空间，以及数字社交潜移默化转变固有观念等赋能路径对农村居民生活方式转型形成助力。未来研究还可以从农村居民特征适配的意识与行为引导、生活场景中数字化驱动的深度挖掘、数字化影响的异质性，以及减碳政策的双向优化等角度开展。\n\n**关键词:**[数字技术,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[低碳转型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[数字乡村,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[“双碳”,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[数字平台,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[碳排放](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)\n\n**Abstract:**\n\n**[Significance]** Since the establishment of the \"dual carbon\" goals, promoting the low-carbon transformation of lifestyles has become a core issue of green and high-quality development. However, most existing studies selected urban residents as the research subject for investigating low-carbon behaviors, systematic exploration from the perspective of rural residents needs to be supplemented. The implementation of the Digital Rural Development Strategy creates favorable conditions for digital empowerment in the low-carbon transformation of rural residents' lifestyles. Based on the perspective of rural residents' behavior, this paper systematically sorts out relevant literature, aiming to explore the core difficulties of rural residents' lifestyle low-carbon transformation and the feasible paths of digital empowerment, so as to provide theoretical reference and practical guidance for the deepening of research in this field and the optimization of relevant policies. **[Progress]** Firstly, the mainstream theories and research findings were reviewed on resident behavior, concluding that existing studies mostly focus on urban residents, with insufficient relevance analysis and in-depth discussion in rural contexts. Secondly, the core dilemmas in the low-carbon lifestyle transformation of rural residents were analyzed from the two dimensions of behavior and cognition. At the behavioral level, rural residents have low acceptance of new low-carbon practices; their behavioral decisions are strongly influenced by social relations such as regional and kinship ties, and external strong stimuli are needed to drive behavioral change. At the cognitive level, rural residents have limited exposure to low-carbon knowledge, which hinders the formation of low-carbon awareness. Meanwhile, there is a significant deviation between low-carbon cognition and actual behavior, and more external incentives are required for rural residents to translate awareness into action. The proposal of the Digital Countryside has provided hardware infrastructure and policy support for digitally driving the low-carbon transformation of rural residents' behavior. Accordingly, the common enabling scenarios of digitalization were further sorted out in rural life and explored feasible paths for the low-carbon transformation of rural residents' behavior in the digital era. From one aspect, embedding digital technologies and their derivative products is a measure to reshape residents' living habits. Specifically, digital technologies can optimize residents' daily life experience and improve efficiency, while digital financial products and services can lower the costs of low-carbon practices for rural residents. From another aspect, leveraging digital platforms as communication channels helps gradually cultivate residents' low-carbon awareness. This is reflected in the efficient dissemination of information that expands rural residents' scope of low-carbon knowledge, and digital social interactions that transform their traditional mindsets. Finally, China's current policy system related to guiding residents' low-carbon behavior was reviewed and evaluated. It is characterized by national macro-plans that set the overall development direction, and local policies that focus on strengthening digital infrastructure construction. **[Conclusions and Prospects]** Digitalization can accurately address the behavioral and cognition difficulties in the low-carbon transformation of rural residents' lifestyles through four paths: technology embedding, financial empowerment, information dissemination, and social guidance. Future research needs to further expand the applicability of low-carbon behavior theories in rural scenarios, verify the carbon reduction effect and heterogeneous impact of digitalization in rural living scenarios, and construct a two-way interactive digital carbon reduction policy system featuring government guidance and resident participation, so as to provide more targeted theoretical support and policy ideas for the coordinated development of rural residents' lifestyle low-carbon transformation and rural revitalization.\n\n**Key words:**[digital technology,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[low-carbon transition,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[digital countryside,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[\"dual carbon\",](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[digital platform,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)[carbon emissions](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)\n\n**中图分类号:**\n\n*   [F323.8](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)\n\n*   [X24](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#)\n\n#### 引用本文\n\n丁凡琳. 数字化背景下农村居民生活方式低碳转型研究综述[J]. 智慧农业(中英文), 2026, 8(3): 119-131.\n\nDING Fanlin. The Low-Carbon Transition of Rural Residents' Lifestyle through Digital Empowerment: A Review[J]. Smart Agriculture, 2026, 8(3): 119-131.\n\n#### 使用本文\n\n**[[收藏文章](javascript:;)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#) \u002F[推荐](javascript:void(null))**\n**导出引用管理器**[EndNote](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=EndNote&id=22704)|[Ris](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=Ris&id=22704)|[BibTeX](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=BibTeX&id=22704)\n\n**链接本文:**[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008)\n\n[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F119](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F119)\n\n#### [图\u002F表 1](javascript:;)\n\n[![Image 7](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008#inline_content14662)\n\n**表1**\n\n农村居民行为与认知相关研究文献\n\n| 研究主题 | 研究进展 | 主要参考文献 |\n| :---: | :---: | :---: |\n| 农村居民行为特征分析 | 基于经济学、行为学理论分析农村居民行为特征及其影响因素，通过与城市居民比较得出，影响农村居民行为的因素存在差异且更为复杂 | 唐博文和郭军［20］，黄赜琳和秦淑悦［21］，程名望和张家平［22］，臧旭恒和裴春霞［23］，胡日东等［24］ |\n| 社会关系与群体行为对农村居民影响较农村尤为凸显。不同于城市居民，对于农村居民行为动因的研究需要将地缘、血缘等社会因素考虑在内 | 贾晋等［25］，POOL和SCHWEGLER［26］，LI［27］，QIAN等［28］，滕玉华等［29］ |\n| 农村居民认知场景分析 | 当前农村居民环保行为主要表现在节能或使用清洁能源方面，以受成本驱动为主，意识驱动路径有待强化。低碳信息的农村居民可触达度不足、缺少价值认同是居民低碳认知难以形成的原因 | 蒋琳莉等［19］，黄河等［30］，孙玉栋和王宣桦［31］，易芳馨等［32］ |\n| 由于农村碳排放数据统计监测体系不完善、农村低碳技术创新和应用推广不足，可获得低碳信息的场景有限。这使得农村居民的低碳意识有待提升，低碳消费、垃圾分类等相关行为实施存在积极性不足、参与度低问题 | ZHANG等［33］，SCHUWE和LEFKOFF-HAGIUS［34］，岳婷等［35］，贾亚娟等［36］ |\n\n 表1 \n\n[](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202512008)\n#### [参考文献 96](javascript:;)\n\n[1]MUNKSGAARD J, PEDERSEN K A. 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Inquiry into Economic Issues, 2021(1): 25-39.\n[5]邵美红, 吴芊颖, 赵福建, 等. 我国农田碳排放现状及固碳减排技术分析[J]. 智能化农业装备学报(中英文), 2025, 6(1): 99-110.\nSHAO M H, WU Q Y, ZHAO F J, et al. A review of current GHG emissions in Chinese farmland and the carbon sequestration and emission reduction technologies[J]. Journal of Intelligent Agricultural Mechanization, 2025, 6(1): 99-110.\n[6]崔亚飞, 黄少安, 吴琼. 农户亲环境意向的影响因素及其效应分解研究[J]. 干旱区资源与环境, 2017, 31(12): 45-49.\nCUI Y F, HUANG S A, WU Q. Influencing factors and the effects of Chinese farmer's pro-environmental intention[J]. Journal of Arid Land Resources and Environment, 2017, 31(12): 45-49.\n[7]AJZEN I. The theory of planned behavior[J]. Organizational Behavior and Human Decision Processes, 1991, 50(2): 179-211.\n[8]AJZEN I. Attitudes, personality and behaviour[M].Milton Keynes: Open University Press, 1988.\n[9]WILLIS L, LEE E, REYNOLDS K J, et al. The theory of planned behavior and the social identity approach: A new look at group processes and social norms in the context of student binge drinking[J]. Europe's Journal of Psychology, 2020, 16(3): 357-383.\n[10]ARMITAGE C J, CONNER M. Efficacy of the theory of planned behaviour: A meta-analytic review[J]. British Journal of Social Psychology, 2001, 40(Pt 4): 471-499.\n[11]GUAGNANO G A, STERN P C, DIETZ T. Influences on attitude-behavior relationships: A natural experiment with curbside recycling[J]. Environment and Behavior, 1995, 27(5): 699-718.\n[12]VAN LIERE K D, DUNLAP R E. The social bases of environmental concern: A review of hypotheses, explanations and empirical evidence[J]. The Public Opinion Quarterly, 1980, 44(2): 181-197.\n[13]边俊杰, 段可仪. 城镇居民节能行为、能源效率缺口与公共政策——基于国内30个省份城镇居民的调查[J]. 财政科学, 2023(11): 131-146.\nBIAN J J, DUAN K Y. Energy saving behavior, energy efficiency gap and public policies of urban residents: Based on a survey of urban residents in 30 provinces in China[J]. Fiscal Science, 2023(11): 131-146.\n[14]王小华, 温涛. 城乡居民消费行为及结构演化的差异研究[J]. 数量经济技术经济研究, 2015, 32(10): 90-107.\nWANG X H, WEN T. The evolution of differences about consumption behavior and consumption structure between urban and rural residents[J]. Journal of Quantitative Technological Economics, 2015, 32(10): 90-107.\n[15]彭远春. 城市居民环境认知对环境行为的影响分析[J]. 中南大学学报(社会科学版), 2015, 21(3): 168-174.\nPENG Y C. Analysis of the influence of urban residents' environmental cognition on environmental behavior[J]. Journal of Central South University (Social Science), 2015, 21(3): 168-174.\n[16]WILSON A L, BUCKLEY E, BUCKLEY J D, et al. Nudging healthier food and beverage choices through salience and priming. Evidence from a systematic review[J]. 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The effect of urban-rural income gap on consumption structure of urban and rural residents in China: Empirical analysis based on extended LA\u002FAIDS model[J]. Journal of Finance and Economics, 2014, 40(5): 75-87.\n[25]贾晋, 温虎, 张齐圣. 正规信贷对农村家庭消费隐含碳排放的影响效应分析——来自中国农村家庭追踪调查数据的证据[J]. 农村经济, 2022(9): 98-106.\nJIA J, WEN H, ZHANG Q S. Analysis of the impact of formal credit on implicit carbon emissions from rural household consumption: Evidence from China family panel studies[J]. Rural Economy, 2022, 98(9): 98-106.\n[26]POOL G J, SCHWEGLER A F. Differentiating among motives for norm conformity[J]. Basic and Applied Social Psychology, 2007, 29(1): 47-60.\n[27]LI C H. China: The consumer revolution[M]. Singapore: Wiley, 1998.\n[28]QIAN W, ABDUR RAZZAQUE M, KENG KAH. Chinese cultural values and gift-giving behavior[J]. Journal of Consumer Marketing, 2007, 24(4): 214-228.\n[29]滕玉华, 吴素婷, 范世晶, 等. 基于解释结构模型的农村居民生活自愿亲环境行为发生机制研究[J]. 干旱区资源与环境, 2022, 36(11): 34-40.\nTENG Y H, WU S T, FAN S J, et al. The occurrence mechanism of rural residents' living voluntary pro-environmental behavior[J]. Journal of Arid Land Resources and Environment, 2022, 36(11): 34-40.\n[30]黄河, 刘琳琳, 杨小涵. 情感驱动的实践——城市居民绿色低碳行为促进机制的ARI模型检验[J]. 全球传媒学刊, 2023, 10(2): 60-86.\nHUANG H, LIU L L, YANG X H. Affect driven public engagement: An empirical study of urban residents' low-carbon behavior promotion mechanism based on ARI model[J]. Global Journal of Media Studies, 2023, 10(2): 60-86.\n[31]孙玉栋, 王宣桦. 数字普惠金融赋能乡村振兴的实践价值、现实挑战与政策因应[J]. 北京行政学院学报, 2023(1): 112-120.\nSUN Y D, WANG X H. The practical value and practical challenges of digital inclusive finance enabling rural revitalization and the policy response to it[J]. Journal of Beijing Administration Institute, 2023(1): 112-120.\n[32]易芳馨, 张强, 李瑶, 等. 基于数字驱动的低碳社区治理体系与治理能力提升路径[J]. 城市发展研究, 2023, 30(6): 133-140.\nYI F X, ZHANG Q, LI Y, et al. The high-quality development path of low-carbon communities: A policy implementation framework based on digital driving and behavioral nudging[J]. Urban Development Studies, 2023, 30(6): 133-140.\n[33]ZHANG M S, ZHENG Q, XIA-BAUER C. A systematic assessment of low-carbon energy consumption by an integrated approach in rural China[J]. Energy Reports, 2024, 12: 5704-5711.\n[34]SCHUHWERK M E, LEFKOFF-HAGIUS R. Green or non-green : Does type of appeal matter when advertising a green product [J]. Journal of Advertising, 1995, 24(2): 45-54.\n[35]岳婷, 周静, 张新悦, 等. 城市居民低碳涉入: 内涵、维度与影响因素[J]. 管理评论, 2025, 37(10): 50-62.\nYUE T, ZHOU J, ZHANG X Y, et al. Low-carbon involvement of urban residents: Concept, dimensions and influencing factors[J]. Management Review, 2025, 37(10): 50-62.\n[36]贾亚娟, 范子珺, 张新奇. 环境价值观对居民绿色低碳生活方式选择意愿的影响——基于环境态度的中介作用[J]. 干旱区资源与环境, 2023, 37(12): 1-9.\nJIA Y J, FAN Z J, ZHANG X Q. Influence of environmental values on residents' willingness to choose green and low-carbon lifestyle: Environmental attitudes-based mediation effect[J]. Journal of Arid Land Resources and Environment, 2023, 37(12): 1-9.\n[37]何广文. 从农村居民资金借贷行为看农村金融抑制与金融深化[J]. 中国农村经济, 1999(10): 42-48.\nHE G W. Financial repression and financial deepening in rural areas from the perspective of rural residents' fund borrowing behavior[J]. Chinese Rural Economy, 1999(10): 42-48.\n[38]廖华. 中国农村居民生活用能现状、问题与应对[J]. 北京理工大学学报(社会科学版), 2019, 21(2): 1-5.\nLIAO H. Residential energy consumption in rural China: Situation, problems and solutions[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2019, 21(2): 1-5.\n[39]VIARDOT E. The role of cooperatives in overcoming the barriers to adoption of renewable energy[J]. Energy Policy, 2013, 63: 756-764.\n[40]LĂZĂROIU G, NEGURIŢĂ O, GRECU I, et al. Consumers' decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions[J]. Frontiers in Psychology, 2020, 11: 890.\n[41]DABBOUS A, TARHINI A. Does sharing economy promote sustainable economic development and energy efficiency Evidence from OECD countries[J]. Journal of Innovation Knowledge, 2021, 6(1): 58-68.\n[42]WU Y N, XU M J, TAO Y, et al. A critical barrier analysis framework to the development of rural distrib","智慧农业(中英文) 2026, 8(3): 119-131","2026-07-26T02:00:00Z","论文",55,false,69,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,20,18,14,2,1,"综述论文，主题契合数字乡村与低碳转型，有学术价值，但时效性差，影响范围有限。",[25,26,28,31],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F119",{"name":29,"url":30},"智慧农业(中英文) 2026, 8(3): 119-131 DOI: 10.12133\u002Fj.smartag.SA202512008","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7675691127915266611",{"name":32,"url":33},"智慧农业(中英文) 2026年第8卷第3期 119-131页 2026年8月19日","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7675691127915266611\u002F",[35,36,37,38],"数字化","农村居民","低碳转型","生活方式",[],{"status":41,"locked":14,"version":42,"method":43,"evidence":44},"unclassified","2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":51,"reason":52},[46],{"code":47,"score":22,"supported":14,"title":48,"abstract":49,"tags":50},"H4",[],[],[37],true,"缺少足够的主题证据",[54,55],"低碳转型 农村居民 生活方式 数字化","低碳转型 农村居民","低碳转型农村居民生活方式数字化-108",11,"10.12133\u002Fj.smartag.sa202512008","2026-07-31T00:00:55.958741Z",{"total":61,"page":22,"page_size":61,"items":62},6,[63,120,194,228,268,322],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":8,"content":8,"source_name":68,"source_url":66,"published_at":69,"category":12,"cover_url":8,"hotness":70,"is_selected":14,"score":71,"score_detail":72,"sources":76,"tags":78,"primary_topic":8,"secondary_topics":82,"classification":83,"search_phrases":100,"slug":103,"view_count":104,"doi":105,"paper":106,"created_at":119},5066,"When information is not enough: AI-enabled advisory and the fragile pathways of low-carbon transitions under system constraints","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105000","When information is not enough: AI-enabled advisory and the fragile pathways of low-carbon transitions under system constraints。Agricultural Systems","Agricultural Systems","2026-10-16T00:00:00Z",10,70,{"impact":73,"substance":19,"depth":74,"authority":20,"freshness":70,"relevant":22,"comment":75},12,16,"核心期刊论文，探讨AI农业咨询在系统约束下推动低碳转型的局限，方法有新意但属学术探讨，公共影响有限。",[77],{"name":68,"url":66},[79,80,37,81],"农业人工智能","农业技术推广","农业系统",[],{"status":41,"locked":14,"version":42,"method":43,"evidence":84},{"candidates":85,"agricultural_evidence":51,"reason":52},[86,91,95],{"code":87,"score":22,"supported":14,"title":88,"abstract":89,"tags":90},"G1",[],[],[80],{"code":47,"score":22,"supported":14,"title":92,"abstract":93,"tags":94},[],[],[37],{"code":96,"score":22,"supported":14,"title":97,"abstract":98,"tags":99},"I2",[],[],[79],[101,102],"农业人工智能 农业技术推广 低碳转型 农业系统","农业人工智能 农业技术推广","农业人工智能农业技术推广低碳转型农业系统-5066",0,"10.1016\u002Fj.agsy.2026.105000",{"doi":105,"openalex_id":107,"authors":108,"venue":68,"cited_by_count":104,"oa_url":66,"card":8,"direction":8,"ingested_from":118},"W7222350379",[109,112,114,116],{"name":110,"orcid":111},"Dinh Duc Truong","https:\u002F\u002Forcid.org\u002F0000-0003-4125-7294",{"name":113,"orcid":8},"Bui Thi Hoang Lan",{"name":115,"orcid":8},"Ngo Thanh Mai",{"name":117,"orcid":8},"Huynh Thi Mai Dung","openalex","2026-10-16T23:30:04.129983Z",{"id":121,"title":122,"url":123,"summary":124,"summary_zh":125,"content":8,"source_name":126,"source_url":123,"published_at":127,"category":12,"cover_url":8,"hotness":70,"is_selected":14,"score":128,"score_detail":129,"sources":134,"tags":136,"primary_topic":141,"secondary_topics":146,"classification":147,"search_phrases":167,"slug":170,"view_count":104,"doi":171,"paper":172,"created_at":193},2863,"Smart energy transition in agricultural industrial parks for sustainable food systems: policy coordination pathways and dynamic evolution simulation","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1885233","Introduction Based on the profound evolution of global “dual carbon” goals and sustainable food systems, agri-food parks are key nodes with high energy consumption and high carbon emissions in the food supply chain. Their smart energy systems provide a feasible path for low-carbon transition, but face governance obstacles such as policy fragmentation, departmental silos, and instrument conflicts, which constrain sustainable food production. Methods This study constructs a system dynamics model encompassing four subsystems: energy technology, digital infrastructure, policy market, and environmental goals. It identifies six core feedback loops and, through simulation for the period 2025 to 2040, reveals the mechanisms of policy coordination, and use sensitivity analysis to ensure robustness. Meanwhile, the study adopts the micro-perspective of the agri-food park, incorporating the entire process of policy coordination into a systematic endogenous feedback structure. Results The results show that the smart energy system of agri-food park possesses endogenous growth potential. The cumulative installed capacity of smart energy increased from 50 MW to 885.269 MW, representing a nearly 16.7 fold growth over the 15 year period, with an average annual compound growth rate of approximately 20.6%.Compared with the no policy intervention scenario, the multi policy coordination scenario boosted installed capacity by about 229.8%, indicating that strong policy support is essential to overcome initial development thresholds; strengthening goal coordination, tool optimization, and departmental integration can reduce the technology lock in effect from 0.683 to 0.300, a decline of 56.1%, and lower carbon emission intensity from 2.498 tons\u002F10,000 yuan to 1.737 tons\u002F10,000 yuan, thereby effectively breaking through existing technological lock-in and institutional barriers; and an increase in the carbon emission factor of smart energy alters the trajectory of new investments in carbon-based energy, significantly curbing the expansion of high-carbon energy. Discussion The study confirms that policy coordination is a core lever for activating the system’s endogenous dynamics and driving the green transformation and upgrading of agri-food parks, thereby providing systematic scientific decision-making support for building a more resilient sustainable food supply chain and advancing the “dual carbon” goals.","引言 基于全球“双碳”目标与可持续食物系统的深刻变革，农业食品园区是食物供应链中高能耗、高碳排放的关键节点，其智慧能源系统为低碳转型提供了可行路径，但面临政策碎片化、部门壁垒与工具冲突等治理障碍，制约了可持续食物生产。方法 本研究构建涵盖能源技术、数字基础设施、政策市场与环境目标四个子系统的系统动力学模型，识别六条核心反馈回路，并通过2025—2040年的仿真模拟揭示政策协同的作用机制，同时采用敏感性分析保证稳健性。同时，本研究采用农业食品园区的微观视角，将政策协同的全过程纳入系统内生反馈结构。结果 结果表明，农业食品园区智慧能源系统具有内生增长潜力。智慧能源累计装机容量从50 MW增至885.269 MW，15年间增长近16.7倍，年均复合增长率约为20.6%。与无政策干预情景相比，多政策协同情景使装机容量提升约229.8%，表明强有力的政策支持对于跨越初期发展门槛至关重要；加强目标协同、工具优化与部门整合可将技术锁定效应从0.683降至0.300，下降56.1%，并将碳排放强度从2.498吨\u002F万元降至1.737吨\u002F万元，从而有效突破现有技术锁定与制度壁垒；智慧能源碳排放因子上升会改变碳基能源新增投资轨迹，显著抑制高碳能源扩张。讨论 研究证实，政策协同是激活系统内生动力、推动农业食品园区绿色转型升级的核心杠杆，从而为构建更具韧性的可持续食物供应链和推进“双碳”目标提供系统性科学决策支持。","Frontiers in Sustainable Food Systems","2026-09-17T00:00:00Z",79,{"impact":19,"substance":130,"depth":19,"authority":131,"freshness":132,"relevant":22,"comment":133},22,13,8,"系统动力学模拟农业园区智慧能源政策协同，数据详实、结论有决策参考价值，但属学术论文、时效性一般，可入精选。",[135],{"name":126,"url":123},[137,37,138,139,140],"智慧农业","系统动力学","政策协同","农业园区",{"code":47,"slug":142,"name":143,"path":144,"parent_code":145},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":148,"locked":14,"version":42,"method":43,"evidence":149},"classified",{"candidates":150,"agricultural_evidence":51},[151,158,163],{"code":47,"score":152,"supported":51,"title":153,"abstract":154,"tags":157},7,[],[155,156],"碳排放","carbon emission",[37],{"code":159,"score":22,"supported":14,"title":160,"abstract":161,"tags":162},"I1",[],[],[137],{"code":96,"score":22,"supported":14,"title":164,"abstract":165,"tags":166},[],[],[138],[168,169],"农业产业园 智慧能源 低碳转型","农食园区 政策协同 双碳","农业产业园智慧能源低碳转型-2863","10.3389\u002Ffsufs.2026.1885233",{"doi":171,"openalex_id":173,"authors":174,"venue":126,"cited_by_count":104,"oa_url":123,"card":187,"direction":191,"ingested_from":118},"W7213496319",[175,178,181,183,185],{"name":176,"orcid":177},"Zhong Li","https:\u002F\u002Forcid.org\u002F0000-0001-9869-006X",{"name":179,"orcid":180},"Yixuan Chen","https:\u002F\u002Forcid.org\u002F0000-0002-4879-7165",{"name":182,"orcid":8},"Simiao Tong",{"name":184,"orcid":8},"Huabin Wu",{"name":186,"orcid":8},"Caijuan Hu",{"tldr":188,"method":189,"finding":190,"direction":191,"opportunity":192},"构建系统动力学模型，模拟农业产业园智慧能源转型的政策协同路径与动态演化。","系统动力学建模，含四个子系统与六个反馈回路，2025-2040年仿真及敏感性分析","多政策协同使智慧能源装机增229.8%，技术锁定降56.1%，碳排放强度降30.5%。","农业绿色发展与碳","可将园区级政策协同模型扩展到区域农业供应链，量化部门壁垒对减碳的阻滞效应。","2026-09-18T23:30:07.001188Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":8,"content":199,"source_name":200,"source_url":8,"published_at":201,"category":12,"cover_url":8,"hotness":70,"is_selected":14,"score":104,"score_detail":202,"sources":204,"tags":206,"primary_topic":8,"secondary_topics":213,"classification":214,"search_phrases":221,"slug":224,"view_count":225,"doi":226,"paper":8,"created_at":227},971,"超越利润与地球：探索数字化给农民带来的社会成本与收益","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jrurstud.2026.104252","原文标题: Beyond profit and planet: Exploring farmers' lived social costs and benefits of digitalisation。作者: Mauro Florez、Beatriz Herrera、Véronique Bellon-Maurel、Leanne Townsend、Jean Larbaigt、Maija Ušča、Karine Gauche、Niamh Mahon、Timothy Pittaway、Alexia Gobrecht。现有研究大多关注数字化在农业生产效率、自然资源节约和更广泛的环境收益方面的潜在成本或收益，对数字化在农场层面引发的社会变迁关注不足且呈碎片化。本研究采用跨学科分析框架，对分布在欧洲多个生活实验室的24位农民进行半结构化访谈，从农民福祉(i)、工作组织(ii)、农场内外的社会互动(iii)三个核心维度探索其社会体验。研究结果揭示了复杂而双重的事实:农民从更高效的工作流程、减轻体力负担和增强决策中受益；但也报告了日益增加的精神压力、传统身份与常规的转变、劳动力重组以及对外部技术提供商日益增强的依赖。对新型数字技能的反复需求既影响农民的包容性与自主性，也与恐惧和焦虑相关。本研究为理解农业数字化转型中农场所经历的社会效应提供了基础，为未来以农民为中心的技术发展研究奠定了基础。","[![Image 1](https:\u002F\u002Fdoi.org\u002Fimages\u002Flogos\u002Fheader_logo_cropped_registered.svg)](https:\u002F\u002Fwww.doi.org\u002F)\n\n- [x] \n*   The Foundation\n    *   [About Us](https:\u002F\u002Fdoi.org\u002Fthe-foundation\u002Fabout-us\u002F)\n    *   [Board & Governance](https:\u002F\u002Fdoi.org\u002Fthe-foundation\u002Fboard-and-governance\u002F)\n    *   [Sustainability](https:\u002F\u002Fdoi.org\u002Fthe-foundation\u002Fsustainability\u002F)\n\n*   The Community\n    *   [What are Registration Agencies?](https:\u002F\u002Fdoi.org\u002Fthe-community\u002Fwhat-are-registration-agencies\u002F)\n   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The content of this site is licensed under a [Creative Commons Attribution 4.0 International License](https:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002F \"Creative Commons\").\n\nDOI®, DOI.ORG®, and shortDOI® are trademarks of the DOI Foundation.\n\n*   [](https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fdoi-foundation-inc\u002F)\n*   [](mailto:info@doi.org)","Journal of Rural Studies Vol. 126, 104252","2026-08-01T00:00:00Z",{"impact":104,"substance":104,"depth":104,"authority":104,"freshness":104,"relevant":104,"comment":203},"正文为DOI官网404页面，无实际内容，无法评估。",[205],{"name":200,"url":197},[207,35,208,209,210,211,212],"数字农业","Journal of Rural Studies","社会可持续性","农民福祉","生活实验室","欧洲访谈",[],{"status":41,"locked":14,"version":42,"method":43,"evidence":215},{"candidates":216,"agricultural_evidence":51,"reason":52},[217],{"code":159,"score":22,"supported":14,"title":218,"abstract":219,"tags":220},[],[],[207],[222,223],"社会可持续性 生活实验室 农民福祉 数字农业","社会可持续性 生活实验室","社会可持续性生活实验室农民福祉数字农业-971",3,"10.1016\u002Fj.jrurstud.2026.104252","2026-08-26T00:09:32.350598Z",{"id":229,"title":230,"url":231,"summary":232,"summary_zh":8,"content":233,"source_name":234,"source_url":8,"published_at":235,"category":12,"cover_url":8,"hotness":70,"is_selected":14,"score":236,"score_detail":237,"sources":240,"tags":242,"primary_topic":249,"secondary_topics":254,"classification":255,"search_phrases":263,"slug":266,"view_count":225,"doi":8,"paper":8,"created_at":267},970,"数字化与可持续农业：基于PRISMA的系统文献综述 涵盖62项2015-2026年实证研究","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807","原文标题: Digitalisation and Sustainable Agriculture: A PRISMA-Based Systematic Literature Review。作者: Zhanna Smagulova、Urpash Shalbolova、Aigul Mukhanova、Gulshat Duzelbayeva(哈萨克斯坦Korkyt Ata Kyzylorda大学、L.N. Gumilyov欧亚国立大学、纳尔霍兹大学)。本研究基于PRISMA 2020指南对2015-2026年间发表的实证证据进行批判性综合分析，考察数字化对可持续农业发展的影响。在Scopus和Web of Science数据库中识别并分析62项实证研究，采用演绎与归纳相结合的主题分析方法，围绕「三重底线」(经济、环境、社会)框架展开。研究发现2022年后学术关注度显著上升，研究高度集中在亚洲(特别是中国，占42%)、欧洲(22.58%)和非洲(17.7%)；现有研究主要凸显数字化在生产力提升、效率改善、收入增长与资源优化配置、排放减少方面的积极影响，但也记录了劳动力替代、不平等加剧、数字工资不透明等不均衡、情境依赖的社会维度负面结果；整合性分析极其匮乏——仅不到5%的研究同时考察经济、环境和社会三个维度。本综述识别出数字化对可持续农业复杂、不均衡且情境依赖影响的四个未来研究优先方向。","## 1. Introduction\n\nAgriculture occupies a structurally irreplaceable position in the global economy. It contributes approximately 24% of global gross domestic product, employs around 1.3 billion people (roughly 16% of the world’s workforce), and underpins food security across approximately 1.2 to 1.5 billion hectares of cultivated land [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B1-sustainability-18-07807)]. Yet the sector faces mounting pressure on multiple fronts: a growing global population, rising per capita food demand, accelerating climate change, and persistent rural poverty [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B2-sustainability-18-07807)]. These intersecting challenges have renewed the urgency of a question posed by the International Assessment of Agriculture, Science and Technology for Development (IAASTD): how can hunger and poverty be alleviated, rural livelihoods enhanced, and equitable, environmentally, socially, and economically sustainable development advanced through the generation and application of agricultural knowledge and technology [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B3-sustainability-18-07807)]?\n\nOver the past decade, one of the most prominent responses to this challenge has been the rapid digitalisation of the agricultural sector. Digital technologies, including information and communication technologies (ICTs), precision agriculture tools, artificial intelligence, remote sensing, and digital platforms, are increasingly regarded as instruments of agricultural transformation. Existing research identifies a convergence of drivers: economic pressures that reward efficiency gains, environmental imperatives that demand more precise use of resources, and social objectives that require the inclusion of smallholder farmers and rural communities in the benefits of technological change [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B4-sustainability-18-07807)]. Studies from diverse national contexts reflect these dynamics: they document productivity gains in the Chinese agricultural sector [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B5-sustainability-18-07807),[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B6-sustainability-18-07807)], report increased adoption of modern practices among Saudi Arabian farmers following access to digital information [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B7-sustainability-18-07807)], and link digital agriculture to reductions in agricultural carbon emissions [[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B8-sustainability-18-07807)]. Finally, the literature highlights that the transformative potential of digital tools depends critically on inclusive, co-created knowledge transfer among farmers, consultants, and other stakeholders [[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B9-sustainability-18-07807)]. Despite this growing body of work, the literature remains fragmented. Most studies focus on a single technology, country, or dimension of sustainability, typically the economic dimension. Integrative analyses that assess the impact of digitalisation across all three dimensions of sustainable development remain scarce, and potential trade-offs between dimensions are insufficiently explored [[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B10-sustainability-18-07807)]. The present study addresses this gap by analysing the impact of digitalisation on the sustainable development of agriculture through a systematic synthesis of empirical evidence and by identifying directions for future research.\n\nTo achieve this aim, three objectives were set: to conduct a PRISMA-compliant systematic review of empirical literature on digitalisation and sustainable agriculture; to systematically identify and compare the positive and negative effects of digitalisation on the economic, environmental, and social dimensions of agricultural sustainability; and to identify research gaps and priority directions for further enquiry. The study is guided by two research questions: (1) Which geographical regions have been the focus of research on digitalisation and agricultural sustainability, and how has the volume of related publications changed from 2015 to 2026? (2) Do all studies report positive sustainability outcomes associated with digitalisation, or have adverse effects also been documented?\n\n### Theoretical Framework\n\nThe analytical structure of this review is grounded in the concept of sustainable development, as defined by the World Commission on Environment and Development (the Brundtland Commission), which characterised sustainability as development that “meets the needs of the present without compromising the ability of future generations to meet their own needs” [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B11-sustainability-18-07807)]. This foundational definition has since been operationalised through the triple-bottom-line framework, which recognises three interdependent dimensions of sustainability: economic, environmental, and social [[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B12-sustainability-18-07807)]. The framework is now embedded in the United Nations’ 2030 Agenda and its 17 Sustainable Development Goals (SDGs) [[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B13-sustainability-18-07807)]. Several of these, including SDG 2 (Zero Hunger), SDG 8 (Decent Work and Economic Growth), SDG 13 (Climate Action), and SDG 15 (Life on Land), are directly relevant to agriculture.\n\nIn the agricultural context, these three dimensions can be defined as follows. Economic sustainability is the capacity of agricultural systems to generate productive output, maintain profitability, and support rural livelihoods over the long term, as reflected in indicators such as total factor productivity, crop yields, income, and market participation. Environmental sustainability is the capacity to preserve natural resources and ecological functions, particularly through reduced carbon emissions, efficient use of land and water, and improvements in biodiversity and soil health. Social sustainability concerns the conditions under which agricultural labour is performed, including the distribution of income gains, equitable access to technology, the quality of working conditions, and the protection of rural communities from displacement or marginalisation.\n\nThis three-dimensional framework directly informs the review’s organisational structure. The synthesis of empirical findings in [Section 3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#sec3-sustainability-18-07807) is organised around these three dimensions, enabling a systematic examination of whether digitalisation contributes to, detracts from, or produces uneven outcomes across economic, environmental, and social sustainability. Critically, the framework also highlights potential trade-offs between dimensions, for example, when gains in economic productivity come at the cost of labour displacement, or when environmental improvements require capital investments that disadvantage smallholders. Recognising these trade-offs is a central objective of this review and a distinctive contribution to the existing literature.\n\n## 2. Materials and Methods\n\n### 2.1. Overview and Design\n\nThis study employs a systematic literature review in line with the PRISMA 2020 guidelines [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B14-sustainability-18-07807)], and the checklist could be found in the [Supplementary Material](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#app1-sustainability-18-07807). The PRISMA framework was selected for its transparent, reproducible protocol for identifying, screening, and synthesising empirical evidence, thereby minimising selection bias and enhancing the reliability of conclusions. The review adopts a combined deductive–inductive analytical approach: deductive methods were used to map the geographical and temporal distribution of research (RQ1), while inductive thematic analysis was applied to synthesise substantive findings across sustainability dimensions (RQ2). Data analysis drew on both quantitative methods, aggregating numerical indicators such as yield changes and productivity growth, and qualitative thematic coding, in which the 62 included studies were systematically categorised according to the economic, environmental, and social dimensions of the theoretical framework described in the “Theoretical Framework” section. A formal meta-analysis was not conducted because preliminary analysis revealed substantial heterogeneity across the included studies in outcome measures, research designs, analytical methods, and reported effect estimates. Consequently, calculating comparable pooled effect sizes and applying statistical methods for quantitative synthesis, including a funnel plot and Egger’s test to assess publication bias, were not methodologically justified.\n\n### 2.2. Data Sources and Search Strategy\n\nA systematic search was conducted in two stages: the first stage was conducted on 29 January 2025 using a single electronic database; Scopus and Web of Science (WoS) was incorporated only in the second stage, the 2026 update (see [Section 2.4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#sec2dot4-sustainability-18-07807)).\n\nScopus was selected as the primary database for its extensive multidisciplinary coverage and strong performance in systematic search retrieval. WoS was included as a complementary source to broaden disciplinary coverage and reduce the risk of database-specific indexing gaps, consistent with best practice in systematic reviewing [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B14-sustainability-18-07807)].\n\nThe search string actually executed in Scopus (Article title, Abstract, Keywords field) was the free-text phrase “digitalisation of agriculture”, which Scopus parsed as digitalisation AND of AND agriculture. The term “precision agriculture” was not used as a separate search term, as the review aimed to examine the broader phenomenon of agricultural digitalisation rather than a single technological approach. Precision agriculture was therefore treated as one form of agricultural digitalisation within the review’s broader conceptual scope. It is important to note that studies focused on precision agriculture and related technologies were identified through the search strategy and are represented among the 62 studies included in the final sample.\n\nThe following filters were then applied sequentially, with the resulting record counts: publication years 2015–2025 (n = 1353); subject areas Computer Science, Environmental Science, Agricultural and Biological Sciences, Social Sciences, Business, Management and Accounting, Economics, Econometrics and Finance, Decision Sciences, and Multidisciplinary (n = 1233); document language limited to English (n = 1186); source\u002Fdocument type limited to Journal and Conference Proceeding (n = 927); the Environmental Science subject category was then excluded to avoid duplication with other categories (n = 717).\n\n### 2.3. Eligibility Criteria\n\nInclusion and exclusion criteria were developed collaboratively by all four authors (Zh.S., U.S., A.M., G.D.) before screening and are presented in [Table 1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#table_body_display_sustainability-18-07807-t001). The criteria were designed to include only empirical studies that directly examined the impact of digitalisation on agricultural sustainability outcomes, while excluding review articles, theoretical or conceptual papers, and studies focused on non-agricultural sectors.\n\n**Table 1.** Inclusion and exclusion criteria applied in the systematic literature review.\n\n### 2.4. Study Selection\n\nAfter database searches and deduplication, 739 records were retained for title and abstract screening. Screening was conducted independently by three authors (Zh.S., A.M., G.D.) using the eligibility criteria outlined in [Section 2.3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#sec2dot3-sustainability-18-07807). Discrepancies between screeners were recorded: Zh.S. identified 42 eligible articles, A.M. 45, and G.D. 42. All discrepancies were resolved through discussion and consensus arbitration by the fourth author (U.S.). A total of 40 studies were included in the final synthesis. The full selection process is documented in the PRISMA 2020 flow diagram ([Figure 1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#fig_body_display_sustainability-18-07807-f001)).\n\n**Figure 1.** PRISMA flowchart illustrating the study selection process for the first search round (Round 1, Scopus, January 2025). See [Table 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#table_body_display_sustainability-18-07807-t002) for the second search round (Round 2, 2026 update). Source: (Page et al., 2021) [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B14-sustainability-18-07807)].\n\n**Table 2.** PRISMA-style flow for the second search round (Round 2, 2026 update), combining Scopus and Web of Science.\n\n**Figure 1.** PRISMA flowchart illustrating the study selection process for the first search round (Round 1, Scopus, January 2025). See [Table 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#table_body_display_sustainability-18-07807-t002) for the second search round (Round 2, 2026 update). Source: (Page et al., 2021) [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B14-sustainability-18-07807)].\n\n[![Image 1: Sustainability 18 07807 g001](https:\u002F\u002Fwww.mdpi.com\u002Fsustainability\u002Fsustainability-18-07807\u002Farticle_deploy\u002Fhtml\u002Fimages\u002Fsustainability-18-07807-g001.png)](https:\u002F\u002Fwww.mdpi.com\u002Fsustainability\u002Fsustainability-18-07807\u002Farticle_deploy\u002Fhtml\u002Fimages\u002Fsustainability-18-07807-g001.png)\n\n#### Search Update (Round 2)\n\nOn 5 February 2026, the Scopus search was re-run, retrieving 278 additional records published in 2026. On 17 February 2026, Web of Science was searched for the first time, covering 2015–2026 and retrieving 259 records. The authors judged that a single-database search was insufficient for a comprehensive review and therefore incorporated WoS at this stage. The combined total of 537 records (278 Scopus + 259 WoS) was screened for duplicates; 25 duplicate records were identified and removed, leaving 512 distinct records (278 Scopus + 234 WoS) for screening against the eligibility criteria in [Table 1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#table_body_display_sustainability-18-07807-t001). Applying these criteria to the 512 records identified 22 additional eligible studies, which were added to the 40 studies retained from the first search round, yielding a final total of 62 studies included in the review.\n\n### 2.5. Data Extraction and Quality Assessment\n\nData from the 62 included studies were extracted by three authors (Zh.S., A.M., G.D.) using a standardised extraction template. For each study, the following information was recorded: author(s) and year; country\u002Fregion of study; research design and data collection method; digital technology or intervention examined; sustainability dimension(s) addressed; key quantitative or qualitative findings; and direction of effect (positive, negative, or mixed). The full extraction is presented in the [Appendix A](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#app2-sustainability-18-07807).\n\nNo formal quality appraisal tool (such as the Mixed Methods Appraisal Tool, MMAT [[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B15-sustainability-18-07807)], or the Joanna Briggs Institute checklists) [[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B16-sustainability-18-07807)] was used in this review, given the heterogeneity of study designs and methodological approaches across the 62 included studies. This is acknowledged as a limitation of the review (see [Section 4.5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#sec4dot5-sustainability-18-07807)).\n\n### 2.6. Synthesis Approach\n\nGiven the heterogeneity of study designs, geographic contexts, and outcome measures across the included studies, a narrative synthesis was adopted rather than a meta-analysis. Synthesis proceeded in two stages. First, a descriptive analysis mapped the distribution of studies by geographical region, publication year, and sustainability dimension addressed (addressing RQ1). Second, a deductive–inductive thematic analysis synthesised the substantive findings within each sustainability dimension (addressing RQ2). Initial codes were derived deductively from the three-dimensional theoretical framework (economic, environmental, and social sustainability. Sub-themes were then developed inductively from patterns emerging within each dimension. Coding was conducted by three authors (Zh.S., A.M., G.D.) and reviewed for consistency by the fourth (U.S.).\n\n## 3. Results\n\nThis section is organised in accordance with the study’s four guiding research questions. The first question provides contextual information on the digitalisation of agriculture, whereas the subsequent three questions focus on a detailed analysis of how digitalisation affects the sustainable development of the agricultural sector.\n\n### 3.1. RQ1. Which Geographical Regions Have Been the Focus of Research on the Impact of Digital Technologies on Agricultural Sustainability, and How Has the Volume of Related Publications Evolved in Recent Years?\n\nAll studies included in this review were conducted in countries across three continents, Europe, Asia and Africa. However, the geographic distribution of studies was uneven across these regions (see [Figure 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#fig_body_display_sustainability-18-07807-f002)). Among the 37 studies conducted in Asia (59.7% of the studies), the overwhelming majority, 26 studies or 42% of the total sample, were conducted in China, which is not surprising. China is one of the world’s largest producers of agricultural products and has been striving not only to expand production volumes but also to improve product quality. The Chinese government has strengthened agricultural land protection and implemented various incentives to promote agricultural production [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B17-sustainability-18-07807)]. In addition, the country continues to liberalise trade in agricultural products [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B18-sustainability-18-07807)]. As a result of these combined factors, China has effectively integrated digital technologies into both the production and trade sectors of its agriculture. Following China in the ranking are India (4.84%) and Kazakhstan (3.2%), both of which are major producers of staple crops such as rice and wheat. Other contributing countries include Indonesia (1.6%), Uzbekistan (1.6%), Vietnam (3.2%), Azerbaijan (1.6%) and members of the South Asian Association for Regional Cooperation (SAARC), including Bangladesh, Nepal, Pakistan, Bhutan, the Maldives, and Afghanistan (1.6%).\n\n**Figure 2.** Geographical distribution of studies. Source: Author’s elaboration using Bing Maps.\n\nEurope accounts for 22.58% of the studies (14 articles), making it the second most represented continent. Germany stands out as the most researched country in Europe (6.45%). As one of the leading agricultural producers in the European Union [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B19-sustainability-18-07807)], German researchers, citing previous studies, argue that nearly 50% of agricultural professional activities in the country could be replaced by digital technologies [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F15\u002F7807#B20-sustainability-18-07807)]. These trends have contributed to Germany’s heightened interest in the digitalisation of its agricultural sector.\n\nAfrica ranks third in terms of the number of studies, accounting for 17.7% of the total. In Africa, the greatest interest in the impact of digitalisation on agriculture was shown by researchers in Ghana (6.45%) and Sub-Saharan African countries (4.84%). Additional studies were carried out in Tanzania (1.6%), Nigeria (1.6%), Somali (1.6%) and other African nations (1.6%). The focus on digital agriculture in Africa is lar","Sustainability 2026, 18(15), 7807","2026-08-02T00:00:00Z",78,{"impact":18,"substance":130,"depth":18,"authority":73,"freshness":238,"relevant":22,"comment":239},4,"系统综述涵盖62项研究，全面分析数字化对农业可持续性的多维影响，具有较高学术价值和信息增量，但时效性稍差。",[241],{"name":234,"url":231},[35,243,244,245,246,247,248],"Sustainability","可持续农业","哈萨克斯坦","PRISMA","三重底线","文献综述",{"code":250,"slug":251,"name":252,"path":253,"parent_code":145},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture",[],{"status":148,"locked":14,"version":42,"method":43,"evidence":256},{"candidates":257,"agricultural_evidence":51},[258],{"code":250,"score":17,"supported":51,"title":259,"abstract":260,"tags":262},[244],[244,261],"sustainable agriculture",[244],[264,265],"可持续农业 哈萨克斯坦 三重底线 文献综述","可持续农业 哈萨克斯坦","可持续农业哈萨克斯坦三重底线文献综述-970","2026-08-26T00:09:32.321765Z",{"id":269,"title":270,"url":271,"summary":272,"summary_zh":8,"content":273,"source_name":274,"source_url":8,"published_at":275,"category":276,"cover_url":8,"hotness":70,"is_selected":14,"score":277,"score_detail":278,"sources":281,"tags":283,"primary_topic":8,"secondary_topics":289,"classification":290,"search_phrases":316,"slug":319,"view_count":320,"doi":8,"paper":8,"created_at":321},523,"罗锡文院士团队与台山市共建大湾区智慧农场标杆","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7673192531131138587","8月12日,中国工程院罗锡文院士团队与台山市政府、华南农业大学、广东天禾在江门台山广东第一田签署战略合作,共建大湾区智慧农场标杆。台山智慧农场实现水稻耕种管收全链条智能化,早造完成2500亩智慧农业托管,晚造扩展至3000亩,辐射周边22.5万亩丝苗米产区,经田间实测可提升农机利用率30%以上,综合种植作业成本降低20%。","## 视频｜罗锡文院士智助“广东第一田”，江门台山打造智慧农场标杆\n\n8月12日，江门台山市都斛镇“广东第一田”，一场无人农机集群的“大阅兵”精彩上演：无人驾驶插秧机自主驶出机库、规划路径，精准完成田间插秧作业；多台植保无人机同步开展空中巡田与精准施药；全自动智能育秧车间实现浸种、播种、恒温催芽、炼苗全流程闭环生产……这是台山市智慧农场现场观摩会上的智慧农业场景展示。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F2b9b36373b824fee82768eeea8d1bc0f~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787357012&x-signature=FBXUleePb%2FZEx4%2FkOg6rkpO9A8g%3D)\n签约仪式现场。\n\n同日，台山市人民政府、华南农业大学、广东天禾农资股份有限公司在“广东第一田”举行政校企战略合作协议签约活动。此举标志着中国工程院院士、华南农业大学教授罗锡文团队将与台山市政企深化合作共建大湾区智慧农场标杆，助力提升“广东第一田”数字化、智能化水平。\n\n罗锡文院士是我国农业机械化与智慧农业领域专家，他带领团队长期致力于农业智能装备和智慧农业技术研究，在我国创建了首个水稻无人农场，先后荣获国家技术发明奖和国家科技进步奖等多个重要奖项，有力推动了我国农业现代化建设。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Ff77c3cf181fc14e476a59746071cf6e4~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787357012&x-signature=WvXgfdOeX5JOLASL0F281wygI5s%3D)\n无人插秧机正在作业。\n\n台山作为大湾区重要丝苗米主产区，立足万亩良田资源优势，搭建“政府统筹规划、高校科创赋能、企业市场运营”三位一体协同平台，借力罗锡文院士团队、岭南现代农业省实验室技术支撑，建成覆盖水稻耕、种、管、收全链条的智慧农场示范基地。\n\n根据协议，三方将充分发挥各自资源优势，重点围绕农机数字化技术升级、全省可复制智慧农业样板打造，以及产学研长效协同与新型职业农民培育等方向开展深度合作，依托政校企联动新模式发展智慧农业，牢牢守住粮食安全底线。\n\n罗锡文院士在现场表示：“数十年前，我便知晓台山‘广东第一田’，读研究生时就曾到此调研。如今重回这里，旨在破解‘谁来种地’‘怎样种好地’的时代课题。我们将以数字化感知、智能化决策、精准化作业、智慧化管理等关键技术为支撑，在‘广东第一田’打造无人农场示范样板，并逐步向全省乃至全国推广应用。”\n\n台山市农业农村局局长罗小红介绍，台山市智慧农场覆盖水稻耕、种、管、收全链条，设有全自动智能育秧工厂、500亩高标准数字示范田、农机维保中心及综合农资服务区四大功能板块，配套一体化农场数字大脑，整合物联网监测、AI病虫害识别、无人农机调度和农产品溯源四大系统，可对稻田实施全天候智能管理。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Ff76326c879b6c950a6730e76b7873263~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787357012&x-signature=QQ7%2FpB8bmRbO2qfhlRMaj4OzjWM%3D)\n江门首座智能育秧工厂。\n\n据了解，台山智慧农场今年早造完成2500亩智慧农业托管，晚造示范片区扩展至3000亩，数字化种植技术已辐射周边22.5万亩丝苗米主产区。\n\n运营方台山优禾农业科技服务有限公司副总经理钟智楠表示，经田间实测，智慧农场管理系统可提升农机利用率30%以上，综合种植作业成本降低20%，管理人员足不出户即可完成整片农田监测、灌溉、巡检及无人耕作全周期数字化管控。\n\n下一步，台山将以“广东第一田”3000亩晚造核心示范田为模板，完善全市镇村农事服务站，向全域复制推广智能育秧、无人作业、数字管控等成套方案，同时扩大农田认养、农耕研学规模，深化农文旅融合，以政校企协同创新驱动粮食产业高质量发展，进一步擦亮“广东第一田”金字招牌，为大湾区粮食安全和全省智慧农业发展贡献更多力量。\n\n采写\u002F摄影\u002F摄像：南方+记者 申红洲\n\n剪辑：熊毅\n\n视频加载中...\n\n【作者】 申红洲；熊毅\n\n【来源】 南方报业传媒集团南方+客户端","南方+客户端","2026-08-12T17:06:00Z","报道",80,{"impact":279,"substance":130,"depth":74,"authority":70,"freshness":132,"relevant":22,"comment":280},24,"院士团队与地方政府共建智慧农场标杆，涉及政校企合作、技术应用与推广，具有省级影响力和实质信息增量，报道内容详实，信源为省级官媒，时效性较好。",[282],{"name":274,"url":271},[284,285,35,286,287,288],"无人农场","智慧农场","罗锡文","台山","华南农大",[],{"status":291,"locked":14,"version":42,"method":43,"evidence":292},"needs_review",{"candidates":293,"agricultural_evidence":51,"reason":315},[294,300,306,310],{"code":295,"score":225,"supported":51,"title":296,"abstract":297,"tags":299},"A1",[],[298],"水稻",[],{"code":301,"score":225,"supported":51,"title":302,"abstract":303,"tags":305},"F5",[],[304],"农机",[],{"code":159,"score":225,"supported":51,"title":307,"abstract":308,"tags":309},[],[137],[],{"code":311,"score":21,"supported":14,"title":312,"abstract":313,"tags":314},"F6",[],[],[284,285],"多个产业证据相当，需要确认主归属",[317,318],"华南农大 无人农场 智慧农场 数字化","华南农大 无人农场","华南农大无人农场智慧农场数字化-523",5,"2026-08-15T00:02:52.929242Z",{"id":323,"title":324,"url":325,"summary":326,"summary_zh":8,"content":327,"source_name":328,"source_url":8,"published_at":329,"category":330,"cover_url":8,"hotness":70,"is_selected":51,"score":331,"score_detail":332,"sources":336,"tags":338,"primary_topic":345,"secondary_topics":351,"classification":352,"search_phrases":374,"slug":377,"view_count":74,"doi":8,"paper":8,"created_at":378},62,"农业农村部答复第1626号建议：家庭农场\"一码通\"赋码与\"随手记\"信息化财务记账成为申报硬门槛","https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FCWS\u002F202607\u002Ft20260728_6486281.htm","2026-07-28 农业农村部公布对十四届全国人大四次会议第1626号建议（关于支持家庭农场与农民合作社参与财政支农项目申报）的答复。截至2024年底，全国共有家庭农场395.2万个、农民合作社203.5万家、各类农业社会化服务主体111.1万个，服务小农户近9300万户、年服务面积超22.9亿亩次。2026年新型农业经营主体提质增效带动小农户增收行动方案明确将\"一码通\"赋码、信息化财务记账软件\"随手记\"纳入申报前置条件，扶持政策与带动农户增收挂钩，粮油规模种植主体单产提升专项首次开辟\"集中连片种植+率先集成应用单产提升技术和模式\"的政策通道。","中央财政粮油生产保障、农业产业发展、农业经营主体能力提升、农业生态资源保护等资金均将符合条件的家庭农场、农民合作社等新型农业经营主体纳入支持范围。其中，2026年安排资金重点支持家庭农场、农民合作社等新型农业经营主体，因地制宜推广应用单产提升品种、技术、装备、模式，提高生产经营规范化发展水平；安排资金支持符合条件的农民合作社、家庭农场等各类服务主体围绕粮食和重要农产品生产、聚焦小农户和农业生产薄弱环节开展社会化服务。据农经统计，截至2024年底，全国共有家庭农场395.2万个，农民合作社203.5万家，各类农业社会化服务主体数量达111.1万个，服务小农户近9300万户，年服务面积超过22.9亿亩次。","农业农村部 · 2026-07-28","2026-07-28T00:00:00Z","政策",92,{"impact":333,"substance":130,"depth":19,"authority":17,"freshness":334,"relevant":22,"comment":335},28,9,"全国性政策，含具体资金安排与最新统计数据，信息增量大，权威性高，时效性好。",[337],{"name":328,"url":325},[330,339,340,341,342,343,35,344],"农业农村部","家庭农场","合作社","一码通","随手记","单产提升",{"code":346,"slug":347,"name":348,"path":349,"parent_code":350},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":148,"locked":14,"version":42,"method":43,"evidence":353},{"candidates":354,"agricultural_evidence":51},[355,363,368],{"code":346,"score":356,"supported":51,"title":357,"abstract":358,"tags":362},19,[340],[359,340,360,361],"农民合作社","社会化服务","小农户",[341,340],{"code":364,"score":238,"supported":51,"title":365,"abstract":366,"tags":367},"A8",[],[344],[344],{"code":369,"score":225,"supported":51,"title":370,"abstract":371,"tags":373},"G3",[],[372],"财政支农",[],[375,376],"农业农村部 单产提升 家庭农场 一码通","农业农村部 单产提升","农业农村部单产提升家庭农场一码通-62","2026-07-29T23:54:12.361730Z"]