[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-911":3,"related-911":62},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":56,"slug":59,"view_count":60,"doi":8,"paper":8,"created_at":61},911,"数字乡村政策、劳动力就业黏性与土地利用效率——基于中国家庭追踪调查（CFPS）的实证","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288","基于2014—2022年中国家庭追踪调查（CFPS）数据，将\"是否出台数字乡村发展规划\"作为准自然实验，采用交错DID模型评估数字乡村发展政策实施对农村劳动力就业黏性（RLFS）的影响，并结合Order Logit模型探索作用机制。研究表明：政策显著提高RLFS；机制包括加强本地社会网络嵌入、提升数字素养与身体健康、降低投机动机、扩大本地劳动需求；异质性显示政策对中青年、低人力资本、农业从业者效果更强；政策提升了青年与农业劳动者就业黏性但未改善土地利用效率。",null,"## 1. Introduction\n\nAddressing the constraints that hinder high-quality and sufficient employment among rural labor, ensuring stable employment for rural workers, and assessing the actual effects of new rural development policies in the digital era are critical for advancing rural revitalization and sustaining long-term national development. However, against the backdrop of rapid urbanization and industrialization, rural China is experiencing a substantial outflow of labor, particularly among young workers. The resulting economic consequences include not only an aging rural population, abandoned farmland, and the hollowing out of rural industries [[1](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B1-land-15-00288),[2](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B2-land-15-00288),[3](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B3-land-15-00288)], but also, more fundamentally, a systemic weakening of RLFS. Conceptually, RLFS refers to the employment pattern of working-age individuals whose household registration or primary workplace is located in rural areas, characterized by low mobility and high employment stability driven by subjective preferences or the specificity of human capital. At the individual level, RLFS manifests as sustained and stable employment intentions or long, uninterrupted employment spells. In China’s dual urban–rural structure, RLFS is a key factor in maintaining stable employment relationships and is an important indicator of rural employment quality and the degree of integration between rural and urban labor markets. Higher RLFS implies that rural regions can effectively retain labor and sustain a stable local labor market; conversely, weakened RLFS signals persistent labor outflow and declining vitality in rural areas. Traditionally, the rural labor supply has relied on small-scale social networks rooted in local attachment or has been constrained by limited employment options [[4](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B4-land-15-00288),[5](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B5-land-15-00288)]. These conditions generate substantial labor market mismatches, making it difficult for rural workers to form stable and long-term employment intentions. On the one hand, such distortions prevent rural labor from fully realizing its factor value; on the other hand, the rising frequency and risk of job switching undermine the healthy functioning of the labor market. Therefore, alleviating labor market distortions faced by rural workers, fostering stable employment intentions, and enhancing RLFS become one of the key issues in promoting rural development. Furthermore, as the stability of rural labor improves, whether digital rural development can effectively raise land resource utilization efficiency and activate regional factor vitality also constitutes urgent tasks for advancing rural revitalization and ensuring employment stability and sustained economic development.\n\nThe implementation of the digital rural development strategy offers a new opportunity to address these challenges. It is noteworthy that digital rural development is not merely the application of information tools but represents a profound transformation involving the restructuring of production relations and factor allocation mechanisms. Through the enhancement of digital infrastructure, the introduction of data as a factor, and the comprehensive empowerment provided by digital technologies, digital rural development profoundly affects rural economic structures, governance systems, and public service provisions [[6](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B6-land-15-00288),[7](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B7-land-15-00288)], thereby creating new external conditions for the rural labor market. Moreover, digital rural development can not only generate high-quality local employment opportunities by fostering new business models [[8](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B8-land-15-00288)] but also enhance human capital and community identity through innovative services such as remote education and online cultural services, thereby optimizing public service experiences via information equity. Collectively, these changes constitute a comprehensive ecosystem that enhances the “attractiveness” of rural areas, making it possible to address the weakening of RLFS.\n\nAs a key measure for achieving agricultural and rural modernization, the core of digital rural development policies lies in integrating new digital tools—such as digital infrastructure, digital governance, and digital public services—into the traditional rural economic system, thereby shaping a new external environment for rural labor employment and ultimately influencing individual employment decisions, particularly RLFS. Overall, digital rural development policies promote the further penetration of digital information technologies into rural areas. The establishment of digital information service platforms and remote online training platforms not only injects digital knowledge into the rural workforce but also provides residents with new digital services and tools. While enhancing the match between labor skills and job requirements, these initiatives also foster new rural business formats and transform traditional industries, thereby strengthening the long-term employment willingness of the labor force. Specifically, the direct effects of digital rural development policies on RLFS manifest in the following aspects:\n\nFirst, the continuous improvement of digital infrastructure under policy promotion reduces both the spatial friction costs of cross-regional employment and the temporal friction costs of local employment for rural labor [[9](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B9-land-15-00288),[10](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B10-land-15-00288)], enhancing the matching between labor demand and supply and thereby increasing individual RLFS. On the one hand, regarding spatial friction costs, geographic disparities in traditional labor markets often impose “market segmentation barriers” on rural labor. When local employment opportunities are scarce and cross-regional employment involves high risks, rural workers are compelled to engage in fragmented, temporary employment, which limits both their subjective RLFS and objective employment continuity. Digital rural development policies, through initiatives such as constructing digital base stations and promoting 5G deployment in rural areas, enhance digital infrastructure, reduce spatial friction costs in labor search, and mitigate market segmentation barriers caused by geographic differences. This alleviates labor misallocation due to information asymmetry, further strengthening the long-term employment willingness of labor individuals. For example, in Guiying Village, Longshan County, Hunan Province, the construction of a digital platform facilitated the active publication of convenience services and labor demand information, creating an online communication channel for the rural labor market. The platform also includes an “incident reporting” section, providing an accessible online feedback mechanism that enhances risk-avoidance capacity during cross-regional mobility, thereby supporting the improvement of RLFS. On the other hand, with respect to temporal friction costs, traditional agricultural labor relies heavily on past experience for planting decisions, resulting in path dependency, and the seasonal nature of farming leads to extended land idleness and seasonal unemployment [[11](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B11-land-15-00288)]. Digital rural development policies enhance the application of agricultural sensors and big data platforms in crop cultivation, shortening average growth cycles, increasing annual planting batches per plot, and continuously improving agricultural production efficiency and stability. Consequently, labor willingness to engage in agriculture increases. Additionally, the development of remote online training enables laborers to improve their skills without reducing their planting efficiency, increasing their human capital stock and converting it into knowledge for subsequent planting decisions, thereby enhancing long-term agricultural RLFS.\n\nSecond, from the perspective of income utility, RLFS fundamentally reflects laborers’ employment decisions and work duration on the basis of the realized utility of different job-related incomes. When the actual utility derived from a given employment option exceeds that of alternatives, RLFS is reinforced. Traditional forms of rural employment, such as crop and livestock farming or casual labor, are characterized by low income levels, high vulnerability to natural risks and market price fluctuations, and limited opportunities for skill enhancement, resulting in low expected income utility and weak long-term employment intentions [[12](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B12-land-15-00288),[13](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B13-land-15-00288)]. Digital rural development policies can enhance RLFS by both increasing the marginal returns of traditional employment activities and providing new avenues for career development. On the one hand, these policies promote the adoption of smart agriculture, precision agriculture, and agricultural big data management systems, digitally transforming the entire agricultural value chain and mitigating production-related natural risks and market risks in sales, thereby increasing income stability and average marginal returns. This strengthens laborers’ long-term employment intentions and RLFS within the agricultural sector. On the other hand, the integration of digital technology with traditional agriculture generates “agricultural new business models”, offering rural laborers new career development opportunities. Traditional agricultural work often suffers from low added value, labor intensity, and constrained career prospects, limiting skill and income growth and prompting labor outflow [[14](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B14-land-15-00288)]. In contrast, digital integration fosters new agriculture-related positions such as live-streaming agriculture, e-commerce operations, and digital governance specialists, providing rural workers with alternative employment options. Participation in these new agricultural sectors enables laborers to obtain higher skill premiums and compensation, clarifying career trajectories and continuously enhancing RLFS. On the basis of the analysis above, we propose the following hypothesis:\n\n**H1.**\n\nThe implementation of a digital rural development policy can significantly promote RLFS.\n\nFrom the perspective of transmission mechanisms, the implementation of a digital rural development policy may influence RLFS through five pathways. First, the policy can enhance RLFS by increasing the degree of rural laborers’ integration into local social networks. Within a given region, digital rural initiatives leverage advances in digital technology and communication infrastructure to transfer social networks traditionally based on kinship and geographic proximity onto digital platforms, overcoming the small-group limitations inherent in conventional rural social ties [[15](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B15-land-15-00288),[16](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B16-land-15-00288)]. As digital governance tools continue to improve, new social networks emerge, reshaping local network integration patterns and stabilizing employment activities. Across regions, community platforms such as WeChat and TikTok facilitate the maintenance and expansion of external social networks for rural residents, reduce barriers to cross-regional labor mobility, enhance belonging and identification for migrant workers, and strengthen their long-term employment intentions. Second, the policy can enhance RLFS by improving rural laborers’ digital literacy. Targeted training programs in smart agriculture management and data analytics for large-scale farmers and family farms increase their understanding of new agricultural models, bolster confidence in continued agricultural engagement, and lay the groundwork for further digital transformation. For migrant workers, remote skills training and management or operations courses provided under digital rural initiatives improve labor market skill matching, supporting access to stable employment positions.\n\nThird, the implementation of a digital rural development policy can enhance RLFS by improving laborers’ health conditions. Imbalances in the supply and demand of medical resources have long constrained traditional rural labor, significantly affecting both work capacity and employment stability. With the ongoing development of digital rural infrastructure, integrated online-offline healthcare systems have gradually emerged. The rise in teleconsultations and online medical services reduces the costs and delays associated with seeking medical care for rural laborers [[17](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B17-land-15-00288)]. The establishment of electronic health records increases transparency regarding workers’ health status, effectively preventing major illnesses while avoiding redundant medical expenses. These improvements mitigate sudden employment interruptions and strengthen RLFS.\n\nFurthermore, the implementation of a digital rural development policy can enhance RLFS by reducing laborers’ speculative motives. For rural laborers engaged in agricultural production, the integration of the IoT and big data under the policy enables precision farming and better alignment of production with market demand, mitigating supply–demand fluctuations and price risks and thereby stabilizing operational returns. This ensures more predictable labor income expectations for agricultural workers [[18](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B18-land-15-00288),[19](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B19-land-15-00288)]. The development of digital inclusive finance also provides smallholders with more accessible financing channels, alleviating liquidity constraints in agricultural operations, fostering long-term business confidence, and reducing speculative employment choices. For rural laborers engaged in off-farm work, the establishment of online data platforms increases transparency regarding job requirements, wage standards, and firm credibility, reducing information asymmetries that drive short-term, speculative employment behaviors, and thereby strengthening the RLFS between laborers and their current positions.\n\nFinally, on the labor demand side, the implementation of a digital rural development policy can enhance RLFS by expanding the scale of labor demand. By continuously improving rural digital infrastructure, fostering digital industrial clusters, and promoting the digital transformation of traditional agricultural enterprises, the policy substantially broadens the development space for rural firms. As rural industry chains are strengthened and new industries and business models emerge, the labor demand structure shifts from predominantly manual work to a diversified mix of manual and technical tasks, increasing overall labor demand. This expansion not only generates sufficient local employment opportunities for rural laborers but also provides a stable job supply. Moreover, the availability of diverse positions allows rural laborers to match roles to their capabilities, reducing labor interruptions caused by poor job fit and thereby enhancing RLFS. Consequently, we propose the following hypothesis:\n\n**H2.**\n\nThe implementation of a digital rural development policy influences RLFS through five channels: enhancing social network integration, improving laborers’ digital literacy, increasing health status, reducing speculative labor motives, and expanding the scale of enterprise labor demand.\n\n## 2. Literature Review\n\nThe existing literature indicates that digital technologies and the digital economy have multidimensional and complex effects on labor markets. With respect to employment opportunities, some studies have reported that participation in the digital economy can significantly increase protective farming behaviors among rural households, thereby contributing to labor retention in the agricultural sector [[20](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B20-land-15-00288)]. The impacts of digital skills vary. Some scholars have argued that digital skills, combined with the development of telecommunications infrastructure, primarily promote nonagricultural employment and entrepreneurial activities, with limited effects on agricultural employment [[21](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B21-land-15-00288),[22](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B22-land-15-00288)]. Conversely, other studies have suggested that digital skills can simultaneously increase employment opportunities in both agricultural and nonagricultural sectors while reducing informal employment and enhancing overall employment security [[23](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B23-land-15-00288)]. In terms of employment quality, rural digital infrastructure development also significantly improves the quality of nonagricultural employment [[24](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B24-land-15-00288)].\n\nIn terms of labor mobility and stability, digital technologies have a dual effect. On the one hand, access to digital technologies significantly facilitates rural labor mobility [[25](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B25-land-15-00288)]; however, the technologies themselves may introduce governance challenges. For instance, a comparative study in the German agricultural sector indicated that digital technologies can be used to intensify labor supervision and control, which may undermine worker autonomy and reduce work motivation [[26](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B26-land-15-00288)]. Moreover, improvements in farmers’ digital literacy also drive employment transitions, manifested in increased local part-time work and extended periods of migrant labor [[27](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B27-land-15-00288)]. On the other hand, digital technologies strengthen intravillage social networks and a sense of belonging, helping to mitigate labor outflow and promote collective action [[28](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B28-land-15-00288)]. The development of inclusive digital finance further reinforces the promotion of nonagricultural employment [[29](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B29-land-15-00288),[30](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B30-land-15-00288)].\n\nIn terms of the employment structure, the development of agricultural digital technologies has driven a profound transformation. This effect manifests as a coexistence of “substitution” and “creation”, with smart agriculture replacing certain low-skilled laborers while new business models such as e-commerce live streaming and online training generate additional employment opportunities [[31](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B31-land-15-00288)]. Overall, the advancement of rural digital technologies facilitates the shift in rural labor from production-oriented positions to service-oriented and technical roles [[32](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B32-land-15-00288)]. However, this process is accompanied by employment polarization and risk, as low-skilled workers may face marginalization [[33](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B33-land-15-00288)], and the uncertainties associated with the development of rural e-commerce platforms introduce new risks for laborers [[34](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B34-land-15-00288)].\n\nAnother key concept relevant to this study is labor flexibility, defined as the ability to reallocate labor across different sectors [[35](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F2\u002F288#B35-land-15-00288)]. In contrast, labor stickiness, as a core measure of employment stability, embodies a multilayered connotation in the literat","Land 2026, 15(2), 288","论文",10,false,76,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},20,22,18,14,2,1,"基于CFPS数据的实证研究，探讨数字乡村政策对劳动力就业黏性与土地利用效率的影响，方法严谨，结论有参考价值，但时效性较低。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业信息化","数字乡村政策","就业黏性","土地利用效率","CFPS DID Land",{"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":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51],{"code":32,"score":45,"supported":46,"title":47,"abstract":49,"tags":50},11,true,[48],"数字乡村",[48],[],{"code":52,"score":21,"supported":13,"title":53,"abstract":54,"tags":55},"I1",[],[],[26],[57,58],"土地利用效率 数字乡村政策 农业信息化 就业黏性","土地利用效率 数字乡村政策","土地利用效率数字乡村政策农业信息化就业黏性-911",5,"2026-08-24T00:06:13.332061Z",{"total":63,"page":21,"page_size":63,"items":64},6,[65,131,203,244,300,364],{"id":66,"title":67,"url":68,"summary":69,"summary_zh":8,"content":70,"source_name":71,"source_url":8,"published_at":72,"category":73,"cover_url":8,"hotness":74,"is_selected":46,"score":75,"score_detail":76,"sources":82,"tags":90,"primary_topic":94,"secondary_topics":95,"classification":96,"search_phrases":126,"slug":129,"view_count":20,"doi":8,"paper":8,"created_at":130},2341,"三部门联合印发《数字乡村高质量发展行动计划(2026—2030年)》","https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm","中央网信办、农业农村部、工业和信息化部近日联合印发《行动计划》，明确到2030年数字乡村发展取得显著成效，部署5个方面24项工作举措，包括夯实数字乡村发展基础、提升乡村产业数字化水平、提升乡村建设信息化水平、提升乡村治理智慧化水平、激发数字乡村发展内生动力，重点推进智慧农业技术模式迭代创新与'人工智能+'融合应用。","2026年09月14日 星期一\n\n[设为首页](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm###)[加入收藏](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm###)[手机版](https:\u002F\u002Fwap.cac.gov.cn\u002F)[繁體](javascript:StranBody() \"點擊以繁體中文方式浏覽\")\n\n*   ![Image 1](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002Flogo02.png)\n*   ![Image 2](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002Flogo01.png)\n*   ![Image 3](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002Flogo02.png)\n*   ![Image 4](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002Flogo01.png)\n\n[搜索](javascript:)\n\n*   ### [首 页](https:\u002F\u002Fwww.cac.gov.cn\u002Findex.htm)\n\n*   ### [时政要闻](https:\u002F\u002Fwww.cac.gov.cn\u002Fyaowen\u002Fszyw\u002FA093601index_1.htm)\n\n*   ### [网信政务](https:\u002F\u002Fwww.cac.gov.cn\u002Fwxzw\u002FA0937index_1.htm)\n\n*   ### [互动服务](https:\u002F\u002Fwww.cac.gov.cn\u002Fhdfw\u002FA0938index_1.htm)\n\n*   ### [热点专题](https:\u002F\u002Fwww.cac.gov.cn\u002Fgzzt\u002Fztzl\u002FA092001index_1.htm)\n\n当前位置：[首页](https:\u002F\u002Fwww.cac.gov.cn\u002F)>[正文](javascript:void(0);)\n\n*   ![Image 5](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Flogo02.png)\n*   ![Image 6](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Flogo01.png)\n*   ![Image 7](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Flogo02.png)\n*   ![Image 8](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Flogo01.png)\n\n*   [首页](https:\u002F\u002Fwap.cac.gov.cn\u002Fphoneindex.htm)\n*   [时政要闻](https:\u002F\u002Fwap.cac.gov.cn\u002Fphoneindex.htm?defaultIndex=1)\n*   [网信政务](https:\u002F\u002Fwap.cac.gov.cn\u002Fphoneindex.htm?defaultIndex=2)\n*   [互动服务](https:\u002F\u002Fwap.cac.gov.cn\u002Fphoneindex.htm?defaultIndex=3)\n*   [热点专题](https:\u002F\u002Fwap.cac.gov.cn\u002Fphoneindex.htm?defaultIndex=4)\n\n![Image 9](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Fsearch.png)![Image 10](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Ffold.png)\n\n![Image 11](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002FCAC.png)\n\n![Image 12](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Fashsearch.png)\n\n# 中央网信办、农业农村部、工业和信息化部联合印发《数字乡村高质量发展行动计划（2026—2030年）》\n\n 2026年09月11日 18:00 来源： [中国网信网](https:\u002F\u002Fwww.cac.gov.cn\u002F)\n\n[](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm#)[](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm#)\n\n[](javascript:void(0); \"分享到微信\")[](javascript:void(0); \"分享到QQ空间\")\n\n[【打印】](javascript:window.print())[【纠错】](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm)\n\n近日，中央网信办、农业农村部、工业和信息化部联合印发《数字乡村高质量发展行动计划（2026—2030年）》（以下简称《行动计划》），明确了“十五五”时期推进数字乡村高质量发展的思路目标、重点任务和政策举措。\n\n《行动计划》坚持以习近平新时代中国特色社会主义思想为指导，深入贯彻党的二十大和二十届历次全会精神，认真落实四中全会部署，全面贯彻习近平总书记关于网络强国的重要思想、关于“三农”工作的重要论述，以学习运用“千万工程”经验为引领，以推动高质量发展为主题，以强农惠农富农为目标，统筹发展和安全，着力夯实数字乡村发展基础，着力推进乡村产业数字化、乡村建设信息化、乡村治理智慧化一体发展，着力激发数字乡村发展内生动力，加快以信息化驱动引领农业农村现代化、促进乡村全面振兴，为网络强国、农业强国建设提供有力支撑。\n\n《行动计划》明确，到2030年，数字乡村发展取得显著成效，乡村新型信息基础设施优化完善，乡村产业数字化、乡村建设信息化、乡村治理智慧化的整体水平明显提升，数字乡村可持续发展机制更加健全，农民群众在共享信息化发展成果中的获得感、幸福感、安全感更加充实。\n\n《行动计划》围绕“十五五”发展主要目标，明确到2030年的8项主要发展指标，部署了5个方面24项工作举措，包括夯实数字乡村发展基础、提升乡村产业数字化水平、提升乡村建设信息化水平、提升乡村治理智慧化水平、激发数字乡村发展内生动力等，并就加强组织实施提出工作要求，强化政策协同与资源统筹，树立和践行正确政绩观，因地制宜推进各项任务落地见效。\n\n关闭\n\n中央网络安全和信息化委员会办公室 中华人民共和国国家互联网信息办公室 © 版权所有[联系我们](https:\u002F\u002Fwww.cac.gov.cn\u002Fhdfw\u002Flxwm\u002FA093812index_1.htm)\n\n承办：国家互联网应急中心 技术支持：长安通信科技有限责任公司 [京ICP备14042428号](https:\u002F\u002Fbeian.miit.gov.cn\u002F)[京公网安备11040102700108号](https:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11040102700108)\n\n[![Image 13: 党政机关标识](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002Fconac.png)](https:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=04E495BC1FB45E52E053022819AC1EB7)\n\n*   ###### 学习强国\n\n_◆_◆ ![Image 14](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002FQR-qg.jpg) \n*   ###### 微信\n\n_◆_◆ ![Image 15](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fpc\u002Fscheme\u002Fimages\u002FQR-wx.jpg) \n*   ###### 返回顶部\n\n中央网络安全和信息化委员会办公室\n\n中华人民共和国国家互联网信息办公室 © 版权所有\n\n承办：国家互联网应急中心\n\n技术支持：长安通信科技有限责任公司\n\n京ICP备14042428号\n\n[京公网安备11040102700108号](https:\u002F\u002Fwww.beian.gov.cn\u002F\u002Fwww.cac.gov.cn\u002FregisterSystemInfo?recordcode=11040102700108)\n\n![Image 16](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Fconac.png)[![Image 17](https:\u002F\u002Fwww.cac.gov.cn\u002Flib\u002Fmobile\u002Fscheme\u002Fimages\u002Fcomputer.png)PC版](https:\u002F\u002Fwww.cac.gov.cn\u002F?f=pc)\n\nProduced By CMS 网站群内容管理系统 publishdate:2026\u002F09\u002F11 18:00:35\n\n分享到微信朋友圈[×](https:\u002F\u002Fwww.cac.gov.cn\u002F2026-09\u002F11\u002Fc_1790876575314396.htm#)\n\n打开微信，点击底部的“发现”，\n\n使用“扫一扫”即可将网页分享至朋友圈。","中央网信办 | 2026-09-11","2026-09-11T00:00:00Z","政策",40,89,{"impact":77,"substance":17,"depth":78,"authority":79,"freshness":80,"relevant":21,"comment":81},28,16,15,8,"三部门联合印发的数字乡村五年行动计划，属国家级顶层政策，明确2030年8项指标与5方面24项举措，权威性与时效性俱佳，值得进入每日精选。",[83,84,87],{"name":71,"url":68},{"name":85,"url":86},"中国经济网 2026年9月17日","https:\u002F\u002Fwww.ce.cn\u002Fxwzx\u002Fgnsz\u002Fgdxw\u002F202609\u002Ft20260917_3217698.shtml",{"name":88,"url":89},"腾讯新闻转载 2026-10-09","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261009A09HWH00",[91,48,92,93,26],"十五五","乡村治理","智慧农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":97},{"candidates":98,"agricultural_evidence":46},[99,104,108,114,121],{"code":32,"score":100,"supported":46,"title":101,"abstract":102,"tags":103},12,[48],[48],[48],{"code":52,"score":60,"supported":46,"title":105,"abstract":106,"tags":107},[],[93],[26,93],{"code":109,"score":110,"supported":46,"title":111,"abstract":112,"tags":113},"G5",4,[],[92],[92],{"code":115,"score":116,"supported":46,"title":117,"abstract":118,"tags":120},"G4",3,[],[119],"乡村产业",[],{"code":122,"score":21,"supported":13,"title":123,"abstract":124,"tags":125},"J1",[],[],[91],[127,128],"农业信息化 乡村治理 数字乡村 智慧农业","农业信息化 乡村治理","农业信息化乡村治理数字乡村智慧农业-2341","2026-09-14T00:06:25.305027Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":136,"content":8,"source_name":137,"source_url":134,"published_at":138,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":139,"score_detail":140,"sources":144,"tags":146,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":178,"slug":181,"view_count":182,"doi":183,"paper":184,"created_at":202},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":18,"substance":17,"depth":18,"authority":141,"freshness":142,"relevant":21,"comment":143},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。",[145],{"name":137,"url":134},[48,147,148,149,150],"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":13,"version":40,"method":41,"evidence":154},{"candidates":155,"agricultural_evidence":46},[156,161,168,174],{"code":32,"score":80,"supported":46,"title":157,"abstract":158,"tags":160},[],[48,159],"digital village",[48,147],{"code":162,"score":63,"supported":46,"title":163,"abstract":164,"tags":167},"G6",[],[165,166],"农户收入","rural income",[],{"code":169,"score":116,"supported":46,"title":170,"abstract":171,"tags":173},"G",[],[172],"rural development",[],{"code":115,"score":21,"supported":13,"title":175,"abstract":176,"tags":177},[],[],[148],[179,180],"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",0,"10.3390\u002Fsu182010689",{"doi":183,"openalex_id":185,"authors":186,"venue":137,"cited_by_count":182,"oa_url":134,"card":195,"direction":199,"ingested_from":201},"W7223105459",[187,190,193],{"name":188,"orcid":189},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":191,"orcid":192},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":194,"orcid":8},"Fangping Cao",{"tldr":196,"method":197,"finding":198,"direction":199,"opportunity":200},"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":204,"title":205,"url":206,"summary":207,"summary_zh":8,"content":208,"source_name":209,"source_url":8,"published_at":210,"category":211,"cover_url":8,"hotness":12,"is_selected":13,"score":212,"score_detail":213,"sources":215,"tags":217,"primary_topic":221,"secondary_topics":222,"classification":223,"search_phrases":239,"slug":242,"view_count":182,"doi":8,"paper":8,"created_at":243},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":18,"substance":78,"depth":19,"authority":100,"freshness":63,"relevant":21,"comment":214},"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。",[216],{"name":209,"url":206},[48,93,218,219,220],"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":13,"version":40,"method":41,"evidence":224},{"candidates":225,"agricultural_evidence":46},[226,230,234],{"code":52,"score":110,"supported":46,"title":227,"abstract":228,"tags":229},[],[93],[93],{"code":32,"score":110,"supported":46,"title":231,"abstract":232,"tags":233},[],[48],[48],{"code":235,"score":21,"supported":13,"title":236,"abstract":237,"tags":238},"I2",[],[],[218],[240,241],"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":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":8,"source_name":250,"source_url":247,"published_at":251,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":252,"score_detail":253,"sources":255,"tags":257,"primary_topic":262,"secondary_topics":263,"classification":264,"search_phrases":278,"slug":281,"view_count":182,"doi":282,"paper":283,"created_at":299},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":78,"substance":18,"depth":79,"authority":141,"freshness":142,"relevant":21,"comment":254},"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。",[256],{"name":250,"url":247},[48,258,259,260,261],"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":13,"version":40,"method":41,"evidence":265},{"candidates":266,"agricultural_evidence":46},[267,273],{"code":268,"score":79,"supported":46,"title":269,"abstract":271,"tags":272},"I7",[270],"bibliometric",[260,270],[260],{"code":32,"score":45,"supported":46,"title":274,"abstract":275,"tags":277},[],[259,159,276],"digital divide",[48,259],[279,280],"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":282,"openalex_id":284,"authors":285,"venue":250,"cited_by_count":182,"oa_url":247,"card":294,"direction":199,"ingested_from":201},"W7223067869",[286,288,291],{"name":287,"orcid":8},"Syaifulrijal Mahulauw",{"name":289,"orcid":290},"Wahab Tuanaya","https:\u002F\u002Forcid.org\u002F0009-0001-9236-8149",{"name":292,"orcid":293},"Marno Wance","https:\u002F\u002Forcid.org\u002F0000-0001-6663-7598",{"tldr":295,"method":296,"finding":297,"direction":199,"opportunity":298},"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":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":8,"source_name":306,"source_url":303,"published_at":251,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":307,"score_detail":308,"sources":311,"tags":313,"primary_topic":318,"secondary_topics":319,"classification":320,"search_phrases":345,"slug":348,"view_count":182,"doi":349,"paper":350,"created_at":363},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":17,"substance":309,"depth":18,"authority":141,"freshness":142,"relevant":21,"comment":310},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。",[312],{"name":306,"url":303},[314,48,315,316,317],"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":13,"version":40,"method":41,"evidence":321},{"candidates":322,"agricultural_evidence":46},[323,327,333,337,341],{"code":32,"score":79,"supported":46,"title":324,"abstract":325,"tags":326},[159],[48,159],[48],{"code":235,"score":63,"supported":46,"title":328,"abstract":329,"tags":332},[],[330,331],"机器学习","machine learning",[],{"code":169,"score":116,"supported":46,"title":334,"abstract":335,"tags":336},[],[172],[],{"code":115,"score":20,"supported":13,"title":338,"abstract":339,"tags":340},[],[],[317,315],{"code":52,"score":21,"supported":13,"title":342,"abstract":343,"tags":344},[],[],[314],[346,347],"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":349,"openalex_id":351,"authors":352,"venue":306,"cited_by_count":182,"oa_url":303,"card":358,"direction":199,"ingested_from":201},"W7223041086",[353,355],{"name":354,"orcid":8},"Su Li",{"name":356,"orcid":357},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":359,"method":360,"finding":361,"direction":199,"opportunity":362},"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",{"id":365,"title":366,"url":367,"summary":368,"summary_zh":8,"content":8,"source_name":369,"source_url":8,"published_at":210,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":139,"score_detail":370,"sources":372,"tags":374,"primary_topic":378,"secondary_topics":379,"classification":380,"search_phrases":398,"slug":401,"view_count":182,"doi":402,"paper":403,"created_at":411},5459,"数字乡村建设对农业能源韧性的影响研究 (Research on the Impact of Digital Village Construction on Agricultural Energy Resilience)","https:\u002F\u002Fdoi.org\u002F10.13872\u002Fj.1000-0275.2026.0997","基于2011—2024年30个省份面板数据，三维构建农业能源韧性指标，双向固定效应、中介与门槛模型检验。数字乡村显著提升农业能源韧性，农业社会化服务部分中介，呈单一门槛。粮食主产区与主销区显著。属网络首发。","农业现代化研究（网络首发）2026-10-19",{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":80,"relevant":21,"comment":371},"基于30省14年面板数据的网络首发论文，方法规范、结论有新意，但属学术细分议题，公共影响有限，可作精选备选。",[373],{"name":369,"url":367},[48,375,376,377],"粮食主产区","农业社会化服务","农业能源韧性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":381},{"candidates":382,"agricultural_evidence":46},[383,387,393],{"code":32,"score":16,"supported":46,"title":384,"abstract":385,"tags":386},[48,159],[48],[48],{"code":388,"score":110,"supported":46,"title":389,"abstract":390,"tags":392},"G2",[],[391],"社会化服务",[376],{"code":394,"score":21,"supported":13,"title":395,"abstract":396,"tags":397},"A8",[],[],[375],[399,400],"数字乡村 农业能源韧性","农业社会化服务 中介效应","数字乡村农业能源韧性-5459","10.13872\u002Fj.1000-0275.2026.0997",{"doi":402,"openalex_id":8,"authors":404,"venue":8,"cited_by_count":182,"oa_url":8,"card":405,"direction":199,"ingested_from":410},[],{"tldr":406,"method":407,"finding":408,"direction":199,"opportunity":409},"基于30省面板数据，检验数字乡村建设对农业能源韧性的提升作用。","2011—2024年30省面板数据，三维构建韧性指标，双向固定效应、中介与门槛模","数字乡村显著提升农业能源韧性，农业社会化服务部分中介，存在单一门槛，主产区与主销区显著。","可延伸研究数字乡村影响农业能源韧性的区域异质机制及社会化服务之外的中介路径。","agent","2026-10-21T00:10:08.067176Z"]