[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-466":3,"related-466":56},{"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":26,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":50,"slug":53,"view_count":54,"doi":8,"paper":8,"created_at":55},466,"The Impact of Digital Rural Construction on Nighttime Economic Vitality","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0","本研究系统考察数字乡村建设与夜间经济繁荣之间的影响机制,通过构建双向固定效应模型、门槛回归模型和空间杜宾模型。发现三点关键洞见:1)数字乡村设施建设通过降低市场交易成本和培育新型消费模式有效驱动夜间经济增长,这一效应在经济发达地区尤为突出;2)环境质量与城乡均衡发展对数字技术的赋能作用具有非线性调节效应,当空气污染浓度和城乡收入差距超过特定门槛时,边际促进作用显著减弱;3)数字乡村建设对本地夜间经济有显著正向影响,但对非本地夜间经济影响不显著。本研究为数字经济时代农村经济繁荣提供了新的理论视角,对平衡数字基础设施、实施差异化环境治理、优化城乡收入分配具有政策启示。",null,"*   Article\n*   [Open access](https:\u002F\u002Fwww.springernature.com\u002Fgp\u002Fopen-science\u002Fabout\u002Fthe-fundamentals-of-open-access-and-open-research)\n*   Published: 08 August 2026\n\n*   [Xialing Sun](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Xialing-Sun-Aff1-Aff2)[1](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff1),[2](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff2), \n*   [Peidong Shi](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Peidong-Shi-Aff3)[3](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff3), \n*   [Jiaxi Wu](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Jiaxi-Wu-Aff4)[4](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff4)&\n*   …\n*   [Zheng Meng](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Zheng-Meng-Aff3)[3](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff3)\n\n[_Humanities and Social Sciences Communications_](https:\u002F\u002Fwww.nature.com\u002Fpalcomms) (2026) [Cite this article](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#citeas)\n\nWe are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.\n\n## Abstract\n\nAs a key engine driving the high-quality development of agriculture and rural areas, digital rural construction plays a pivotal role in the structural extension of the nighttime economy from urban to rural areas. This study systematically examines the influence mechanism between digital rural construction and the prosperity of the nighttime economy by constructing a two-way fixed effects model, a threshold regression model, and a spatial Durbin model. The findings reveal the following three key insights: (1) the construction of digital rural facilities effectively drives the growth of the nighttime economy by reducing market transaction costs and fostering new consumption patterns, with this effect being particularly prominent in economically developed regions; (2) environmental quality and balanced urban–rural development exhibit nonlinear moderating effects on the enabling role of digital technologies, as when air pollution concentrations and the urban–rural income gap exceed specific thresholds, the marginal promotion effect weakens significantly; and (3) digital rural construction has a significant positive effect on the local nighttime economy, but its impact on nonlocal nighttime economies is insignificant. High-quality development of the nighttime economy can be promoted by balancing digital infrastructure, implementing differentiated environmental governance, and optimizing the urban–rural income distribution. This study provides a new theoretical perspective and research reference for rural economic prosperity in the era of the digital economy.\n\n## Acknowledgements\n\nThis research was supported by the Social Sciences Fund of Xinjiang Production and Construction Corps (No. 24QN03), the Startup Project for Advanced Talents of Shihezi University, China (NO. RCSK202502), the Maintaining Stability and Guarding the Border Think Tank Project of Xinjiang Production and Construction Corps (No. 24BTZKYB16), the Talent Program “Tianchi Talent” in Xinjiang Uygur Autonomous Region, the China Postdoctoral Science Foundation (No. 2024M761858), the Shandong Postdoctoral Science Foundation (No. SDCX-RS-202500040), the National Statistical Science Research Project (No. 2025LY068), and the Shandong Provincial Natural Science Foundation (No. ZR2026QC0665).\n\n## Author information\n\n### Authors and Affiliations\n\n1.   School of Public Health, Shandong Second Medical University, Weifang, China\n\nXialing Sun\n\n2.   School of Management, China University of Mining and Technology, Beijing, China\n\nXialing Sun\n\n3.   School of Economics and Management, Shihezi University, Shihezi, China\n\nPeidong Shi&Zheng Meng\n\n4.   School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing, China\n\nJiaxi Wu\n\nAuthors\n\n1.   Xialing Sun\n2.   Peidong Shi\n3.   Jiaxi Wu\n4.   Zheng Meng\n\n### Corresponding authors\n\nCorrespondence to [Jiaxi Wu](mailto:wujiaxi0427@163.com) or [Zheng Meng](mailto:13671138862@163.com).\n\n## Ethics declarations\n\n### Competing interests\n\nThe authors declare no competing interests.\n\n### Ethical approval\n\nEthical approval was not required as the study did not involve human participants.\n\n### Informed consent\n\nInformed consent was not required as the study did not involve human participants.\n\n## Additional information\n\n**Publisher’s note** Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\n\n## Rights and permissions\n\n**Open Access** This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby-nc-nd\u002F4.0\u002F](http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby-nc-nd\u002F4.0\u002F).\n\n[Reprints and permissions](https:\u002F\u002Fs100.copyright.com\u002FAppDispatchServlet?title=The%20impact%20of%20digital%20rural%20construction%20on%20nighttime%20economic%20vitality&author=Xialing%20Sun%20et%20al&contentID=10.1057%2Fs41599-026-08656-0&copyright=The%20Author%28s%29&publication=2662-9992&publicationDate=2026-08-08&publisherName=SpringerNature&orderBeanReset=true&oa=CC%20BY-NC-ND)\n\n## About this article\n\n[![Image 1: Check for updates. Verify currency and authenticity via CrossMark](blob:http:\u002F\u002Flocalhost\u002Fdf43c82f6cb6dcd2a87db38f317bf9f2)](https:\u002F\u002Fcrossmark.crossref.org\u002Fdialog\u002F?doi=10.1057\u002Fs41599-026-08656-0)\n\n### Cite this article\n\nSun, X., Shi, P., Wu, J. _et al._ The impact of digital rural construction on nighttime economic vitality. _Humanit Soc Sci Commun_ (2026). https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-08656-0\n\n[Download citation](https:\u002F\u002Fcitation-needed.springer.com\u002Fv2\u002Freferences\u002F10.1057\u002Fs41599-026-08656-0?format=refman&flavour=citation)\n\n*   Received: 26 August 2025\n\n*   Accepted: 31 July 2026\n\n*   Published: 08 August 2026\n\n*   DOI: https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-08656-0","Nature Humanities and Social Sciences Communications 2026-08-08","2026-08-08T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,22,20,15,6,1,"核心期刊论文，研究数字乡村建设对夜间经济的影响，方法严谨，结论新颖，具有较高学术价值。",[25],{"name":10,"url":6},[27,28,29,30],"数字乡村","双向固定效应","夜间经济","空间杜宾",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},4,true,[],[27],[27],[51,52],"双向固定效应 夜间经济 数字乡村 空间杜宾","双向固定效应 夜间经济","双向固定效应夜间经济数字乡村空间杜宾-466",3,"2026-08-12T23:57:24.275830Z",{"total":21,"page":22,"page_size":21,"items":57},[58,108,159,229,273,330],{"id":59,"title":60,"url":61,"summary":62,"summary_zh":8,"content":63,"source_name":64,"source_url":8,"published_at":65,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":66,"score_detail":67,"sources":71,"tags":73,"primary_topic":79,"secondary_topics":80,"classification":81,"search_phrases":99,"slug":102,"view_count":45,"doi":8,"paper":103,"created_at":107},1033,"数字乡村建设对农业新质生产力的影响效应与作用机制——基于2012—2023年30省份面板数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html","原文标题:数字乡村建设对农业新质生产力的影响效应与作用机制。作者:杜一鸣、贾慧静、王强(西安交通大学马克思主义学院等)。基于2012—2023年中国30个省份的面板数据,采用双向固定效应模型,实证检验数字乡村建设对农业新质生产力的影响,并引入中介效应模型和调节效应模型考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明:数字乡村建设可以显著促进农业新质生产力提升,且这种促进作用在'胡焕庸线'以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著;农村创新创业活跃度发挥了部分中介作用;农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用。","0\n\n发表咨询在线!\n\n###### ![Image 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[统计与决策2026年第01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T01T15982\u002F)\n3.   [数字乡村建设对农业新质生产力的影响效应与作用机制](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n\n# 统计与决策2026年第01期：数字乡村建设对农业新质生产力的影响效应与作用机制\n\n来源：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)时间： 2026年8月28日 星期五\n\n* * *\n\n作者：杜一鸣;贾慧静;王强;\n\n单位：西安交通大学马克思主义学院;延安大学政法与公共管理学院;温州理工学院经济与管理学院;\n\n**摘要：**在加快培育新质生产力的背景下，数字乡村建设已成为推动农业现代化和农业生产力提升的重要路径，但其对农业新质生产力的作用路径与内在机制仍有待系统考察。文章基于2012—2023年中国30个省份的面板数据，采用双向固定效应模型，实证检验数字乡村建设对农业新质生产力的影响，并进一步引入中介效应模型和调节效应模型，考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明：数字乡村建设可以显著促进农业新质生产力提升，且这种促进作用在“胡焕庸线”以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著。从作用机制看，农村创新创业活跃度在数字乡村建设与农业新质生产力之间发挥了部分中介作用，数字要素投入通过激发农村创新创业活动加速了新质劳动者、新质劳动资料与新质劳动对象的形成与升级。此外，农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用，农村产业融合水平越高，数字乡村建设对农业新质生产力的赋能作用越强。\n\n**关键词：**数字乡村建设;;农业新质生产力;;农村创新创业活跃度;;产业融合\n\n**基金资助：**浙江省哲学社会科学规划“省市合作”课题（25SSHZ079YB）\n\n##### 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统计与决策](http:\u002F\u002Fwww.qikanvip.com\u002Fstatic\u002Fhexin\u002Ftjjc.jpg)统计与决策 北大核心 CSSCI AMI扩展 ISSN：1002-6487 CN：42-1009\u002FC 出版地：北京市 主办单位：湖北长江报刊传媒(集团)有限公司 主管单位：长江出版传媒股份有限公司 复合影响因子：9.86 综合影响因子：6.682 创刊时间：1984 期刊官网：http:\u002F\u002Fwww.tjyjc.com\u002F出版周期：半月](http:\u002F\u002Ftjjc.qikanvip.com\u002F \"统计与决策\")\n\n期刊VIP网专注学术论文咨询指导、国外出版指导、国内出版指导，提供全方位专业服务，论文指导服务涵盖SCI、SSCI、EI、SCOPUS，论文指导服务内容包括翻译、润色、预审，期刊指导服务内容包括期刊推荐、发表支持。您可以与学术顾问沟通，介绍自己的学术需求，制定专属学术服务方案。\n\n* * *\n\nwww.qikanvip.com版权所有 仿冒必究 投诉邮箱：qianyanns@163.com [京ICP备17075097号-4](http:\u002F\u002Fbeian.miit.gov.cn\u002F \"工信部备案系统\")\n\n**科核2个月出刊 收稿方向**\n\n#### [方向：就业、人力资源 ##### 了解适投期刊 #### 方向：法律、财务、经济 ##### 了解适投期刊 #### 方向：人才培养、企业管理 ##### 了解适投期刊 #### 方向：计算机、机械、电力 ##### 了解适投期刊 #### 方向：化工、医药化工 ##### 了解适投期刊 #### 方向：物流、环保、汽车 ##### 了解适投期刊 #### 方向：知识产权、营销 ##### 了解适投期刊 #### 方向：舞蹈、绘画、雕塑、美术 ##### 了解适投期刊 #### 方向：艺术设计、视觉设计、创意设计 ##### 了解适投期刊 #### 方向：广告、创意设计 ##### 了解适投期刊 #### 方向：室内设计、装饰设计 ##### 了解适投期刊 #### 方向：文创设计、平面设计 ##### 了解适投期刊 #### 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2026(1)","2026-08-20T16:00:00Z",76,{"impact":19,"substance":18,"depth":17,"authority":68,"freshness":69,"relevant":22,"comment":70},14,2,"基于省级面板数据的实证研究，探讨数字乡村建设对农业新质生产力的影响机制，数据详实、方法规范，但发表于2026年第1期，时效性较低。",[72],{"name":64,"url":61},[27,74,75,28,76,77,78],"农业新质生产力","中介效应","30省份面板","产业融合","胡焕庸线",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":82},{"candidates":83,"agricultural_evidence":46},[84,89,94],{"code":32,"score":85,"supported":46,"title":86,"abstract":87,"tags":88},12,[27],[27],[27],{"code":90,"score":22,"supported":14,"title":91,"abstract":92,"tags":93},"G4",[],[],[77],{"code":95,"score":22,"supported":14,"title":96,"abstract":97,"tags":98},"J2",[],[],[74],[100,101],"农业新质生产力 双向固定效应 30省份面板 中介效应","农业新质生产力 双向固定效应","农业新质生产力双向固定效应30省份面板中介效应-1033",{"doi":8,"openalex_id":8,"authors":104,"venue":8,"cited_by_count":105,"oa_url":8,"card":8,"direction":8,"ingested_from":106},[],0,"agent","2026-08-28T00:07:02.181336Z",{"id":109,"title":110,"url":111,"summary":112,"summary_zh":8,"content":113,"source_name":114,"source_url":8,"published_at":115,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":116,"score_detail":117,"sources":119,"tags":121,"primary_topic":125,"secondary_topics":126,"classification":133,"search_phrases":153,"slug":156,"view_count":157,"doi":8,"paper":8,"created_at":158},197,"Digital Village Development and Agricultural Carbon Reduction in China: Evidence from Provincial Panel Data(中国数字乡村发展与农业碳减排:来自省级面板数据的证据)","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482","基于2014-2023年中国30个省份平衡面板数据,文章考察了数字乡村发展与农业投入品相关碳排放的关系。研究构建了由8个标准化指标组成的复合数字乡村指数,采用双向固定效应模型进行实证估计。结果显示,在控制经济、财政、技术、监管等多重因素后,数字乡村发展与农业碳排放显著负相关,使用农村电商代理变量和替代性指标检验后结论依然稳健。异质性分析表明,在农村受教育水平较高、中部地区及粮食主产区,负相关关系更强。研究认为数字乡村建设能够支撑农业低碳转型,前提是数字基础设施转化为有效的产业应用、公共服务、人力资本开发和生产组织改善。","## 1. Introduction\n\nClimate change, ecological degradation, and the continued growth of greenhouse gas (GHG) emissions continue to place considerable pressure on global sustainable development. Carbon mitigation is not only an environmental issue but also a strategic development goal for China. The country has announced that before 2030, it will reach peak carbon dioxide emissions, and before 2060, it will become carbon neutral [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B1-sustainability-18-07482)]. While emissions from sectors based primarily on CO 2 combustion from fossil fuels are different from agricultural emissions, this means that achieving national climate targets will not be possible without mitigation measures in all parts of the economy, not just in heavy industry, power generation and transport [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B2-sustainability-18-07482)]. It is, hence, essential for policies concerning agricultural and rural progress to be incorporated into the holistic framework of climate governance in China.\n\nWhen compared with manufacturing, electricity generation, transportation or construction, agriculture is sometimes considered a relatively low-carbon industry. However, this perception might not consider the significant carbon footprint of today’s food production. The current agricultural system relies on chemical fertilisers, pesticides, plastic mulch, machinery powered by diesel, and irrigation and tillage systems. These inputs and practices are sources of emissions during their manufacture and distribution and also during their use on-farm; they are significant contributors to agricultural carbon emissions [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482)]. Fossil energy is also required during irrigation and land management operations, which can also have an impact on the soil carbon cycle and consequently increase the climate change footprint of agriculture [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B4-sustainability-18-07482)]. The spatial distribution of agricultural emissions in China is uneven, and high emissions are frequently found in the north. This trend is due to variations in natural resource endowments, crop composition, production technologies, intensities of production inputs, and local policies [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482)]. Earlier empirical studies have also revealed that the performance of emissions varies widely across regions, suggesting that mitigating policies should be flexible and locally tailored instead of managed at the national level [[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B6-sustainability-18-07482)]. Technological progress and the change of the organisation of agricultural production have been important means of achieving a low-carbon transition in agriculture in this context [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)].\n\nRural economies are changing in the context of digitalisation all over the world. The collection, transfer, interpretation and utilisation of agricultural information is transforming through big data analysis, Internet of Things (IoT) equipment, mobile communication networks, remote sensing technologies, cloud-based platforms, and digital service systems. Evidence from the international literature shows that data-intensive farming can lead to better resource allocation and a reduction in the waste of resources [[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B8-sustainability-18-07482)]. Smart farming systems can help to better manage water, fertilisers, pesticides and machinery [[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B9-sustainability-18-07482)]. However, rural digital transformation is not merely the introduction of new equipment into agricultural production. It also transforms agricultural extension, institutions at the local level, market linkages, farmers’ behaviour in managing business, and the linkages among farmers, service providers, firms and consumers [[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B10-sustainability-18-07482)].\n\nThe impacts of digital agriculture are quite varied at the national and regional levels. In many high-income countries, sensor-based systems, IoT applications and automated control technologies have been adopted for large-scale commercial farming. In these situations, digital solutions have shown the potential to optimise input usage and create tangible gains in emissions reductions [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B11-sustainability-18-07482)]. On the other hand, there is still a significant gap in agriculture mechanisation, according to data from many low- and middle-income economies. Digitalisation is limited by weak rural infrastructure, fragmented farms, limited financial access and a lack of technical support to achieve environmental gains [[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B12-sustainability-18-07482)]. Such disparities reveal that the climatic effects brought by digital farming hinge on plot scale, institutional arrangement, human capital stock and matched service infrastructures. The digital village strategy in China has emerged in an agricultural landscape dominated by smallholders. It is not the “smart-farm” model that has been adopted by many advanced economies, nor is it the more nascent digital agriculture model in many low-income economies. It, thus, serves as a valuable case study to explore the linkages between rural digitalisation and agricultural carbon mitigation in the context of a developing country.\n\nIn China, digital village development is not limited to access to the internet or the construction of hardware. It is a holistic rural transformation approach integrating digital infrastructure, digital industry, public services, financial inclusion, logistics systems and e-governance. According to comparisons among different provinces, it is known that the development of the digital village is still in an imbalanced state in China [[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B13-sustainability-18-07482)]. Recent evaluation studies also indicate a close relationship between digital rural development results and rural revitalisation outcomes and governance capacity [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B14-sustainability-18-07482)]. The advancement of the rural digital economy has further facilitated industrial upgrading and the restructuring of local production and organisational patterns [[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B15-sustainability-18-07482)]. Digital platforms have made the farmers’ market more accessible, brought agricultural products into circulation faster and have helped rural household income and welfare [[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B16-sustainability-18-07482)].\n\nHowever, the environmental implications of digital village development remain insufficiently understood. From a macro perspective, the digital economy promotes green total factor productivity through three channels: knowledge spillover, optimised resource allocation and industrial structure transformation [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482)]. In China, internet development has impacted energy consumption in three ways: energy use efficiency, the nature of energy consumption, and industrial transformation [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B18-sustainability-18-07482)]. International evidence also suggests that digitalisation can contribute to energy transition, but the impact is contingent on the quality of local governance and institutional capacity [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B19-sustainability-18-07482)]. Based on the empirical studies conducted in China, energy intensity and emissions may be reduced by digitalisation if the conditions are suitable [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482)]. Digitalisation in agriculture has the potential to lower carbon intensity through structural change and technological innovation [[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482)]. Digital village development can also enhance information flow and the land use of cultivated lands, which can help greener land use transformation [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. There is recent research evidence that digitalisation in the countryside can enhance the green performance of agricultural production; however, direct evidence on input-related agricultural carbon emissions remains limited [[23](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B23-sustainability-18-07482)].\n\nInternational studies have highlighted the importance of institutional arrangements and rural human capital in determining the potential of turning digital tools into low-carbon farming practices [[24](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B24-sustainability-18-07482),[25](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B25-sustainability-18-07482)]. Many developing economies are confronted with two pressures: on the one hand, rural digitalisation remains underdeveloped, while on the other hand, agricultural production relies on carbon-intensive inputs. The lessons learned from China suggest that digitalisation can contribute to emission reduction and green transition if it is integrated into relevant policy systems, service systems, and production systems; thus, the country is able to offer empirical references for nations confronting similar development challenges [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[26](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B26-sustainability-18-07482)].\n\nDespite growing interest in the environmental consequences of digitalisation, several gaps remain. First, much of the existing literature examines the general digital economy, urban digitalisation, or isolated digital–agricultural technologies, while fewer studies focus on digital village development as a multidimensional rural transformation process that integrates infrastructure, industrial applications, public services, digital finance, logistics, and rural e-commerce. Second, agricultural carbon emissions from the input side and the field-operation side have been less directly discussed in many studies, while agricultural green total factor productivity, carbon intensity, and pollution indicators are used as outcome variables. Third, there is scarce evidence regarding the circumstances in which digital village development is more strongly connected to agricultural carbon mitigation, including its relationship to rural education, the region in which it is implemented, grain-functional areas, and mechanisation. Fourth, there is a need for increased transparency in the construction of the composite digital village indicators, including indicator selection, PCA loadings, and the contribution of various digital dimensions.\n\nThe following question guides this study: is digital village development associated with lower agricultural carbon emissions across China? A multidimensional digital village development index is constructed from eight standardised indicators to answer this question. PCA diagnostics and a PCA-based alternative index are further used to examine the validity and sensitivity of the index construction. To estimate the relationship between digital village development and agricultural carbon emissions, this study utilises balanced panel datasets covering 30 provincial regions from 2014 to 2023. Empirical analysis consists of two-way fixed-effects models, multiple robustness tests, heterogeneity analysis, and an additional instrumental-variable exercise (reported in the [Appendix A](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#app1-sustainability-18-07482)) and exploratory subgroup analysis with regard to potential mechanisms.\n\nThis study contributes to the literature in three ways. First, it links digital village development with agricultural climate governance by examining input-related agricultural carbon emissions rather than only rural income, industrial upgrading, or agricultural green total factor productivity. Unlike recent prefecture-level or county-level studies that usually focus on the rural digital economy or agricultural green productivity, this study treats the digital village as a multidimensional policy and development framework and directly examines input-related agricultural carbon emissions. Second, it constructs a multidimensional digital village index from eight standardised indicators and reports additional PCA diagnostics, including component loadings, variance contribution, and the KMO statistic. It also uses a recomputed PCA-based index as a sensitivity check, thereby improving the transparency and reproducibility of index construction. Third, it examines heterogeneous associations across rural education levels, regions, grain-functional areas, and mechanisation conditions and provides mechanism-related evidence based on different agricultural carbon-emission sources.\n\nChina’s digital village strategy has a distinctive institutional context. It has developed in a smallholder-dominated agricultural system but is supported by national rural revitalisation policies, public investment in digital infrastructure, the rapid expansion of rural e-commerce, digital inclusive finance, and logistics networks. This differs from the capital-intensive smart-farming model in many high-income economies and from more fragmented digital–agriculture initiatives in some low-income economies. Therefore, the findings should not be interpreted as mechanically generalisable to all countries. Rather, they provide analytical evidence for developing economies seeking to combine rural digital inclusion, agricultural modernisation, and low-carbon transition under smallholder conditions.\n\nThe remainder of this paper is organised as follows. [Section 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec2-sustainability-18-07482) reviews the related literature. [Section 3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec3-sustainability-18-07482) develops the theoretical framework and research hypotheses. [Section 4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec4-sustainability-18-07482) describes the data, variables, and empirical models. [Section 5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec5-sustainability-18-07482) presents the empirical results. [Section 6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec6-sustainability-18-07482) discusses the findings. [Section 7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec7-sustainability-18-07482) concludes the paper and provides policy implications.\n\n## 2. Literature Review\n\n### 2.1. Digital Village Development and Rural Transformation\n\nDigital village development is a comprehensive process of rural transformation which involves the connectivity of infrastructure, digital industrial activities, service delivery and the modernisation of governance. Digital tools improve agricultural production efficiency through real-time data gathering, remote farm supervision, precision agricultural management and data-driven decision-making [[27](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B27-sustainability-18-07482)]. A special characteristic of digitalisation in the rural areas of China is the fast development of rural e-business, especially the growth of the ‘Taobao villages’ linked to big online platforms [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482)]. These new rural economic models are examples of the way that digital marketplaces can connect geographically dispersed producers with national consumer markets and encourage local entrepreneurship [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482),[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. Advancement in the development of digital villages helps bridge the income gap between urban and rural residents. It enables rural populations to gain easier access to information, employment opportunities, financial services, logistics systems and public service facilities [[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. New evidence from the provinces shows that digital village development can also help to foster agricultural green growth [[30](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B30-sustainability-18-07482)].\n\nThe majority of studies published so far agree that digital village development can bring about economic and social benefits and that the impact on the environment is more complex [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. Increased digital infrastructure can, on the one hand, lead to a higher electricity demand and a higher use of digital equipment in rural areas. Conversely, there are applications in the fields of precision agriculture, rural logistics, e-commerce and extension that could help to decrease the overuse of agricultural inputs, enhance coordination and lower agricultural carbon emissions [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)].\n\nThe environmental impact overall will hinge on how the implementation of digital infrastructure is followed by productive applications and service innovations that impact decisions in agricultural production. International experiences demonstrate that digitalisation in rural areas can take several forms in different countries. In the high-income context of Western Europe, digital technologies are frequently used in large mechanised agriculture, but their use is still dependent on the social, political and institutional situation in rural communities [[31](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B31-sustainability-18-07482)]. In many of the settings in which digital benefits are explored in developing contexts, these services are also critical, including mobile money, input markets, extension networks, and reliable infrastructure. Smallholder dominance might also constrain the environmental benefits of applications of digital technology, unless service systems can be developed to address scale constraints [[32](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B32-sustainability-18-07482)]. These differences indicate that the size of the farm, institutional conditions and service capacity play a key role in whether or not rural digitalisation can make a positive contribution to carbon reduction.\n\n### 2.2. Agricultural Carbon Emissions: Measurement, Drivers, and Mitigation\n\nIn the agricultural carbon-accounting literature in China, emissions are often estimated based on the inputs and field operations of agricultural production processes [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482),[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482),[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)]. The use of chemical fertilisers, pesticides and plastic mulch films continues to be a significant source of the carbon footprint of Chinese agriculture [[33](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B33-sustainability-18-07482)]. Other practices such as diesel, irrigation and tillage are also important because they are closely related to energy use and field management. Agricultural emissions of carbon are highly location- and time-dependent and are influenced by land resources, planting systems, mechanisation, environmental policies and input levels [[34](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B34-sustainability-18-07482)].\n\nDigitalisation has increasingly been regarded as a potential pathway for greener agricultural development. Digital technologies offer the potential to better allocate reso","Sustainability 18(14):7482 2026-07-22","2026-07-22T00:00:00Z",74,{"impact":19,"substance":18,"depth":17,"authority":85,"freshness":69,"relevant":22,"comment":118},"基于省级面板数据实证研究数字乡村对农业碳减排的影响，方法严谨，结论具有政策参考价值，但发表于近两周前，时效性较低。",[120],{"name":114,"url":111},[27,122,123,28,124],"农业碳减排","省级面板","可持续发展",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[127],{"code":128,"slug":129,"name":130,"path":131,"parent_code":132},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":134},{"candidates":135,"agricultural_evidence":46},[136,141,147],{"code":32,"score":19,"supported":46,"title":137,"abstract":139,"tags":140},[27,138],"digital village",[27],[27],{"code":128,"score":20,"supported":46,"title":142,"abstract":144,"tags":146},[143],"农业碳",[145,143],"碳排放",[122],{"code":148,"score":54,"supported":46,"title":149,"abstract":150,"tags":152},"E5",[],[151],"农村电商",[],[154,155],"双向固定效应 农业碳减排 可持续发展 数字乡村","双向固定效应 农业碳减排","双向固定效应农业碳减排可持续发展数字乡村-197",8,"2026-08-04T01:15:47.389860Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":8,"source_name":165,"source_url":162,"published_at":166,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":167,"score_detail":168,"sources":172,"tags":174,"primary_topic":179,"secondary_topics":180,"classification":181,"search_phrases":205,"slug":208,"view_count":105,"doi":209,"paper":210,"created_at":228},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":17,"substance":18,"depth":17,"authority":169,"freshness":170,"relevant":22,"comment":171},13,9,"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[173],{"name":165,"url":162},[27,175,176,177,178],"数字素养","共同富裕","农民收入","收入不平等",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":182},{"candidates":183,"agricultural_evidence":46},[184,188,195,201],{"code":32,"score":157,"supported":46,"title":185,"abstract":186,"tags":187},[],[27,138],[27,175],{"code":189,"score":21,"supported":46,"title":190,"abstract":191,"tags":194},"G6",[],[192,193],"农户收入","rural income",[],{"code":196,"score":54,"supported":46,"title":197,"abstract":198,"tags":200},"G",[],[199],"rural development",[],{"code":90,"score":22,"supported":14,"title":202,"abstract":203,"tags":204},[],[],[176],[206,207],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":209,"openalex_id":211,"authors":212,"venue":165,"cited_by_count":105,"oa_url":162,"card":221,"direction":225,"ingested_from":227},"W7223105459",[213,216,219],{"name":214,"orcid":215},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":217,"orcid":218},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":220,"orcid":8},"Fangping Cao",{"tldr":222,"method":223,"finding":224,"direction":225,"opportunity":226},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","数字乡村与农业信息化","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","openalex","2026-10-22T11:20:47.675827Z",{"id":230,"title":231,"url":232,"summary":233,"summary_zh":8,"content":234,"source_name":235,"source_url":8,"published_at":236,"category":237,"cover_url":8,"hotness":13,"is_selected":14,"score":238,"score_detail":239,"sources":242,"tags":244,"primary_topic":249,"secondary_topics":250,"classification":251,"search_phrases":268,"slug":271,"view_count":105,"doi":8,"paper":8,"created_at":272},5505,"广西以赛聚智赋能「AI+农业」 桂字号品牌与东盟水果IP赛道决出","https:\u002F\u002Fwww.agri.cn\u002Fzt\u002Fzhzz\u002Ftp\u002F202610\u002Ft20261019_8877223.htm","10月16日2026年广西智慧农业（数字乡村）创新大赛「桂字号」农业品牌推广赛道、中国（广西）—东盟水果贸易第一IP打造赛道决赛举行，55个项目同台竞技。自治区农业农村厅提出广西正按「北上广研发+广西集成+东盟应用」路径打造中国（广西）—东盟智慧农业先行区，去年一批项目已入选广西人工智能赋能千行百业拟补贴名单。","自治区农业农村厅党组成员、副厅长欧毅霞表示，本次大赛是落实中央一号文件关于因地制宜发展农业新质生产力、大力发展智慧农业部署的具体行动，也是推动人工智能与农业深度融合的重要举措。今年大赛聚焦“桂字号”农业品牌推广和中国（广西）—东盟水果贸易第一IP打造这两个赛道，主要基于三点考虑：一是广西农业资源丰富，“桂字号”品牌基础扎实，但数字化运营和品牌传播仍是短板，需要以赛聚智、以赛促创，借助数字化手段让好产品卖出好价钱；二是广西面向东盟的区位优势得天独厚，水果贸易体量大、潜力足，亟需打造具有国际影响力的第一IP，以数字技术赋能贸易全链条，提升通关、溯源、营销等环节效率；三是这两个赛道切口小、场景实、应用性强，能够有效打通“技术—产业—市场”闭环，推动创新链与产业链精准对接，让更多“金种子”项目在八桂大地上落地生根、开花结果。\n\n欧毅霞提出三点希望：专业组勇当产业升级“领跑者”，形成可复制、可推广的解决方案；学生组争做乡村振兴“生力军”，把创新火花带回课堂、实验室和田间地头；各方共筑智慧农业“生态圈”，推动技术、资本、人才、政策等要素集聚。\n\n广西农业职业技术大学党委书记韦波在致辞中表示，作为承办方，学校将联合广西数字乡村研究院，在赛道组委会统一领导下做好组织、服务与保障，推动赛事成果与教育教学、产业需求有效对接，发挥面向东盟农业职业教育合作优势，为“桂字号”出海、中国—东盟水果贸易双向流通搭建桥梁。\n\n据介绍，广西正按照“北上广研发+广西集成+东盟应用”路径，打造中国（广西）—东盟智慧农业先行区。智慧农业创新大赛不仅是竞技舞台，更是创新成果转化、产业赋能的重要平台。去年，广西首次举办智慧农业创新大赛并取得丰硕成果，一批新技术、新理念、新模式脱颖而出，逐步被大家看见、被市场认可；如捷佳润科技跨境农业智能决策系统、北部湾产权交易所集团AI赋能广西桑蚕茧丝绸全产业链项目入选广西人工智能赋能千行百业拟补贴项目名单；荣获“最佳潜力奖”的“桂鸟先飞—滴滴打药平台”获得地方政府投资扩容实现了升级蝶变。\n\n以赛为媒，向新而行。随着多个项目在决赛中展开比拼，一批聚焦品牌数字化运营、跨境贸易、品控溯源和IP打造的创新项目将在八桂大地加速落地。未来，广西将持续以大赛为纽带，推动技术、资本、人才、政策等要素向智慧农业集聚，促进创新链、产业链、资金链、人才链深度融合，让更多“金种子”项目生根发芽、茁壮成长，为“桂字号”香飘东盟、中国—东盟水果贸易双向流通注入新动能，助力中国（广西）—东盟智慧农业先行区建设迈上新台阶。","中国农业农村信息网 2026-10-19","2026-10-19T00:00:00Z","报道",66,{"impact":17,"substance":240,"depth":68,"authority":85,"freshness":21,"relevant":22,"comment":241},16,"省级智慧农业赛事报道，聚焦AI赋能品牌与东盟水果贸易，有具体路径与落地案例，但属活动通稿，时效稍滞后。",[243],{"name":235,"url":232},[27,245,246,247,248],"智慧农业","农业人工智能","桂字号","东盟水果贸易",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":252},{"candidates":253,"agricultural_evidence":46},[254,259,263],{"code":255,"score":45,"supported":46,"title":256,"abstract":257,"tags":258},"I1",[],[245],[245],{"code":32,"score":45,"supported":46,"title":260,"abstract":261,"tags":262},[],[27],[27],{"code":264,"score":22,"supported":14,"title":265,"abstract":266,"tags":267},"I2",[],[],[246],[269,270],"广西 智慧农业创新大赛","桂字号 东盟水果 IP","广西智慧农业创新大赛-5505","2026-10-22T00:06:58.572242Z",{"id":274,"title":275,"url":276,"summary":277,"summary_zh":278,"content":8,"source_name":279,"source_url":276,"published_at":280,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":281,"score_detail":282,"sources":284,"tags":286,"primary_topic":291,"secondary_topics":292,"classification":293,"search_phrases":308,"slug":311,"view_count":105,"doi":312,"paper":313,"created_at":329},5493,"Mapping Research on the Implementation of Smart Village Policies in Indonesia: A Bibliometric Study for the Years 2017-2025","https:\u002F\u002Fdoi.org\u002F10.66254\u002Fjgssvol5issue2page333-347","This research aims to analyze the role of public sector policies in the development of Smart Villages in Indonesia, focusing on the utilization of information and communication technology (ICT) to improve the quality of life in rural communities. Although the Indonesian government has launched various programs such as the Digital Village Program and Smart City, the implementation of these policies still faces various challenges, including limited infrastructure, low digital literacy, and lack of inter-agency coordination. This research uses a bibliometric approach to map relevant research and policy trends, as well as to identify challenges and opportunities in the development of Smart Villages. The research findings indicate that despite progress, existing public sector policies have not yet been fully effective in addressing the digital divide between villages and cities. This research recommends the need for more inclusive and integrated policy improvements, as well as strengthening human resource capacities in villages to support the creation of sustainable and competitive Smart Villages.","本研究旨在分析公共部门政策在印度尼西亚智慧村（Smart Villages）发展中的作用，重点关注利用信息通信技术（ICT）提升农村社区生活质量。尽管印度尼西亚政府已推出数字村计划（Digital Village Program）和智慧城市（Smart City）等多项举措，但这些政策的实施仍面临诸多挑战，包括基础设施有限、数字素养偏低以及跨机构协调不足。本研究采用文献计量学方法，梳理相关研究与政策趋势，并识别智慧村发展中的挑战与机遇。研究结果表明，尽管取得了一定进展，现有公共部门政策在弥合城乡数字鸿沟方面尚未充分发挥效用。本研究建议有必要进行更具包容性和整合性的政策改进，同时加强农村人力资源能力建设，以支持创建可持续且具有竞争力的智慧村。","Journal of Government Science Studies\u002FJournal Of Government Science Studies","2026-10-20T00:00:00Z",71,{"impact":240,"substance":17,"depth":20,"authority":169,"freshness":170,"relevant":22,"comment":283},"该文献计量研究系统梳理了印尼智慧乡村政策实施进展与数字鸿沟挑战，对数字乡村国际比较有参考价值，但属区域性研究，影响层级有限。",[285],{"name":279,"url":276},[27,287,288,289,290],"印尼","数字鸿沟","文献计量","智慧乡村",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":294},{"candidates":295,"agricultural_evidence":46},[296,302],{"code":297,"score":20,"supported":46,"title":298,"abstract":300,"tags":301},"I7",[299],"bibliometric",[289,299],[289],{"code":32,"score":303,"supported":46,"title":304,"abstract":305,"tags":307},11,[],[288,138,306],"digital divide",[27,288],[309,310],"印尼 智慧乡村","印尼 数字村 数字鸿沟","印尼智慧乡村-5493","10.66254\u002Fjgssvol5issue2page333-347",{"doi":312,"openalex_id":314,"authors":315,"venue":279,"cited_by_count":105,"oa_url":276,"card":324,"direction":225,"ingested_from":227},"W7223067869",[316,318,321],{"name":317,"orcid":8},"Syaifulrijal Mahulauw",{"name":319,"orcid":320},"Wahab Tuanaya","https:\u002F\u002Forcid.org\u002F0009-0001-9236-8149",{"name":322,"orcid":323},"Marno Wance","https:\u002F\u002Forcid.org\u002F0000-0001-6663-7598",{"tldr":325,"method":326,"finding":327,"direction":225,"opportunity":328},"用文献计量法梳理2017-2025年印尼智慧村政策实施研究，识别挑战与机会。","文献计量分析，覆盖2017-2025年相关文献与政策趋势。","政策尚未有效弥合城乡数字鸿沟，需更包容整合的政策与人力建设。","可延伸至跨国比较或政策效果量化评估，聚焦数字鸿沟与跨部门协同机制。","2026-10-21T23:30:33.962760Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":335,"content":8,"source_name":336,"source_url":333,"published_at":280,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":337,"score_detail":338,"sources":341,"tags":343,"primary_topic":348,"secondary_topics":349,"classification":350,"search_phrases":375,"slug":378,"view_count":105,"doi":379,"paper":380,"created_at":393},5469,"How institutional digitalization reshapes entrepreneurial activity in new agricultural business forms: quasi-natural experimental evidence from China's Digital Village Pilot Policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946061","New agricultural business forms are a key driving force for developing countries to overcome the constraints of traditional agriculture and achieve sustainability in food systems. However, it remains unclear whether institutional digitalization can effectively stimulate entrepreneurial vitality in new agricultural business forms. This study develops a theoretical framework of “opportunity creation–opportunity identification–opportunity transformation” and treats China's Digital Village Pilot Policy (DVPP), implemented in 2020, as a quasi-natural experiment. Based on panel data from 1,743 counties in China from 2014 to 2023, this study employs Double Machine Learning (DML) and Spatial Durbin Difference-in-Differences (SDM-DID) models, among other methods, to systematically identify the impact, transmission mechanisms, heterogeneous effects, and spatial spillover effects of institutional digitalization on Entrepreneurial Activity in New Agricultural Business Forms (EANA). The results reveal that: (1) DVPP significantly enhances EANA, and this finding remains robust after a series of tests, including placebo tests, Propensity Score Matching–Difference-in-Differences (PSM-DID), Synthetic Control Method–Difference-in-Differences (SCM-DID), and instrumental variable (IV) estimation; (2) agricultural technological innovation, digital infrastructure development, and digital financial development serve as mediating mechanisms; (3) the policy effects are more pronounced in counties with higher levels of digital access, better-developed transportation infrastructure, and higher levels of digital financial development, exhibiting a pattern of Central > Western > Eastern regions, and are significantly stronger in areas with advantages in characteristic agricultural products; (4) DVPP generates a significant negative spatial spillover effect on EANA in neighboring counties. This study expands theoretical understanding of the relationship between institutional digitalization and entrepreneurship in new agricultural business forms and provides empirical evidence for China and other developing countries to optimize digital rural development and foster new agricultural business forms.","农业新业态是发展中国家突破传统农业约束、实现食物系统可持续发展的关键驱动力。然而，制度数字化能否有效激发农业新业态的创业活力仍不明确。本研究构建了“机会创造—机会识别—机会转化”的理论框架，并将中国2020年实施的数字乡村试点政策（Digital Village Pilot Policy，DVPP）视为准自然实验。基于中国1743个县2014—2023年的面板数据，本研究采用双重机器学习（Double Machine Learning，DML）和空间杜宾双重差分（Spatial Durbin Difference-in-Differences，SDM-DID）等模型，系统识别制度数字化对农业新业态创业活动（Entrepreneurial Activity in New Agricultural Business Forms，EANA）的影响、传导机制、异质性效应和空间溢出效应。结果表明：（1）DVPP显著提升了EANA，且该结论在经过安慰剂检验、倾向得分匹配—双重差分（PSM-DID）、合成控制法—双重差分（SCM-DID）和工具变量（IV）估计等一系列检验后依然稳健；（2）农业技术创新、数字基础设施建设和数字金融发展发挥中介机制作用；（3）政策效应在数字接入水平较高、交通基础设施较完善和数字金融发展水平较高的县更为显著，呈现出中部>西部>东部的格局，且在特色农产品优势区显著更强；（4）DVPP对邻近县的EANA产生显著的负向空间溢出效应。本研究拓展了关于制度数字化与农业新业态创业之间关系的理论认识，为中国及其他发展中国家优化数字乡村发展、培育农业新业态提供了经验证据。","Frontiers in Sustainable Food Systems",85,{"impact":18,"substance":339,"depth":17,"authority":169,"freshness":170,"relevant":22,"comment":340},23,"基于1743个县面板数据的准自然实验，方法扎实、结论有政策参考价值，值得进入每日精选。",[342],{"name":336,"url":333},[344,27,345,346,347],"数字农业","县域经济","农业政策","农村创业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":351},{"candidates":352,"agricultural_evidence":46},[353,357,363,367,371],{"code":32,"score":20,"supported":46,"title":354,"abstract":355,"tags":356},[138],[27,138],[27],{"code":264,"score":21,"supported":46,"title":358,"abstract":359,"tags":362},[],[360,361],"机器学习","machine learning",[],{"code":196,"score":54,"supported":46,"title":364,"abstract":365,"tags":366},[],[199],[],{"code":90,"score":69,"supported":14,"title":368,"abstract":369,"tags":370},[],[],[347,345],{"code":255,"score":22,"supported":14,"title":372,"abstract":373,"tags":374},[],[],[344],[376,377],"数字乡村试点 新农业业态","DVPP 农村创业","数字乡村试点新农业业态-5469","10.3389\u002Ffsufs.2026.1946061",{"doi":379,"openalex_id":381,"authors":382,"venue":336,"cited_by_count":105,"oa_url":333,"card":388,"direction":225,"ingested_from":227},"W7223041086",[383,385],{"name":384,"orcid":8},"Su Li",{"name":386,"orcid":387},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":389,"method":390,"finding":391,"direction":225,"opportunity":392},"用双重机器学习与空间DID评估数字乡村试点政策对新农业业态创业活力的影响。","基于1743县2014-2023面板数据，用DML与SDM-DID做准自然实验。","试点政策显著提升新农业业态创业，经技术创新、数字基建与数字金融中介，并对邻县有负向溢出。","可探究政策负向空间溢出的形成机制及跨县协同激励设计，避免创业资源虹吸。","2026-10-21T23:30:07.205317Z"]