[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-114":3,"related-114":66},{"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":23,"tags":25,"primary_topic":29,"secondary_topics":35,"classification":36,"search_phrases":59,"slug":62,"view_count":63,"doi":64,"paper":8,"created_at":65},114,"Low-Altitude Economy Development and High-Quality Agricultural Development in China: Spatial and Nonlinear Evidence","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1873173\u002Ffull","Xiangyang Wu, Xiaowen Cheng, Wang Xiongjun研究低空经济发展与中国农业高质量发展的关系,基于空间与非线性的实证证据,发现低空经济通过提升农业生产效率、改善农产品流通等机制助推农业高质量发展。",null,"## Abstract\n\nUsing panel data for 30 provincial-level administrative regions in China from 2012 to 2022, this paper examines the relationship between low-altitude economy development (LAEDL) and high-quality agricultural development (HQAD), with particular attention to spatial linkages and nonlinear features. The empirical analysis combines a two-way fixed-effects model, a spatial Durbin model (SDM), and a panel threshold model. The results show that the LAEDL is significantly and positively associated with HQAD, and this finding remains robust across a series of robustness checks, instrumental-variable estimation, and a difference-in-differences design that exploits the 2016 national general-aviation policy. Further analysis indicates that HQAD exhibits significant positive spatial autocorrelation across provinces. The spatial spillover of LAEDL itself, however, is not statistically robust once its local and spatially lagged terms are considered, so we refrain from strong claims about cross-provincial spillovers. The nonlinear analysis suggests that the positive association between the low-altitude economy and HQAD is stronger in provinces with higher levels of economic development and urbanization, whereas the association weakens at high levels of LAEDL itself, a pattern consistent with diminishing marginal returns; the statistical evidence for threshold effects should be interpreted with caution. The moderation analysis further suggests that industrial upgrading and urbanization strengthen the contribution of the LAEDL to HQAD. By incorporating spatial dependence and conditional heterogeneity, this study provides new empirical evidence on the role of emerging aviation-based technologies in agricultural transformation.\n\n## 1 Introduction\n\nGlobal agriculture has been rapidly shifting toward greater precision, intelligence, and environmental sustainability, and technological progress has become a central driver of productivity growth and agricultural modernization (; ). In this context, low-altitude technologies—particularly drones, remote sensing, and low-altitude logistics—have increasingly emerged as an important component of agricultural innovation because of their applications in precision crop protection, field monitoring, and agricultural product distribution (; ; ). In a broader sense, the low-altitude economy extends well beyond the use of drones alone. It encompasses general aviation manufacturing, drone R&D and operations, low-altitude logistics networks, and the associated infrastructure and governance systems, all of which are becoming more deeply integrated into agricultural production systems.\n\nThe existing literature on technological progress and agricultural development has mainly focused on the Green Revolution, the diffusion of improved varieties, and the impact of information and communication technologies on agricultural production and market efficiency. , , for example, emphasize the importance of technology adoption and learning mechanisms in agricultural growth. and show that mobile communication technologies can improve agricultural market performance by reducing information asymmetry. , , and further show that broadband Internet, e-commerce, and digital transformation have significant effects on employment, the rural economy, and agricultural productivity. Compared with this literature on digital technologies, however, there is still little macro-level empirical evidence on whether emerging aviation-based technologies—particularly the low-altitude economy as a more comprehensive techno-industrial system—can significantly improve HQAD. Existing studies have concentrated more on application scenarios for agricultural drones, crop monitoring, and farmers’ adoption behavior (; ; ), while regional-level economic consequences remain underexplored.\n\nMore specifically, three limitations remain in the literature when identifying the agricultural effects of the low-altitude economy. First, most studies treat regions as independent units and pay limited attention to the spatial connectedness of agricultural development and technology diffusion, even though spatial econometric research has long shown that ignoring spatial dependence may lead to incomplete or biased inference (; ; ). In agricultural economics, prior work has shown that agricultural development, technology adoption, and green transformation may all involve substantial spatial spillovers (; ; ). Second, existing analyses typically assume homogeneous and linear technology effects, whereas the benefits of technology diffusion often depend on regional absorptive capacity and development stage, implying potentially strong conditional heterogeneity (; ; ). Third, from an identification perspective, the literature still lacks a systematic framework that combines endogeneity treatment, robustness checks, spatial analysis, and nonlinear testing for the low-altitude economy–agriculture nexus.\n\nAgainst this backdrop, we use panel data for 30 Chinese provincial-level administrative regions over 2012–2022 to investigate the relationship between LAEDL and HQAD, with a further focus on spatial spillovers and nonlinear features. More specifically, the study addresses three questions: (i) Is the low-altitude economy positively associated with HQAD? (ii) Does this association display cross-regional spatial linkages? (iii) And does the strength of the association vary with regional economic development and urbanization? To answer these questions, we construct a two-way fixed-effects model, a spatial Durbin model, and a panel threshold model, thereby providing a more systematic empirical assessment of how emerging aviation-based technologies shape agricultural transformation (; ; ).\n\nThis paper contributes to the literature in three respects. First, it extends the literature on technological progress and agricultural transformation by examining the agricultural role of the low-altitude economy from a provincial, macro-regional perspective. While prior research has focused primarily on the Green Revolution, mobile communication, the Internet, e-commerce platforms, and digital transformation (, ; ; ; ; ; ), work on the low-altitude economy has largely remained at the level of drone applications and micro-level adoption decisions (; ; ). This paper adds macro-regional evidence on how a broader aviation-based industrial form matters for agriculture.\n\nSecond, the paper introduces a spatial econometric framework into the analysis of the low-altitude economy and HQAD. Spatial economics has shown that regional economic activities often exhibit substantial dependence and spillovers, implying that non-spatial models may misstate the relationships of interest (; ; ). Related studies in agricultural economics likewise document spatial correlation in technology diffusion, agricultural ecological efficiency, and green development (; ). Building on this literature, the paper examines not only the local association between the low-altitude economy and HQAD but also its potential spatial spillovers; ultimately, we document robust spatial dependence in HQAD but no statistically robust spillover of LAEDL itself.\n\nThird, the paper examines the nonlinear and conditional nature of the relationship between the low-altitude economy and agricultural development. The absorptive-capacity literature stresses that the economic payoff to new technologies depends on the recipient’s existing knowledge base, institutional setting, and resource endowments (). At the macro level, technology gains may also vary across development stages (; ). Prior studies have widely used threshold models to identify nonlinear effects in agriculture and the digital economy (; ; ). This paper accordingly investigates the threshold and moderating roles of economic development, urbanization, and industrial structure in shaping the agricultural effect of the low-altitude economy.\n\n## 2 Literature review and theoretical analysis\n\n### 2.1 Digitalization, intelligent technologies, and agricultural development\n\nA growing body of research suggests that digital and intelligent technologies are becoming important drivers of agricultural modernization. argues that digital innovations can increase agricultural productivity while simultaneously reducing environmental footprints and improving resilience. Along the same line, examine the relationship between information and communication technologies and agricultural land and labor productivity from global and regional perspectives, and find a stable positive association between Information and Communication Technologies (ICT) diffusion and agricultural productivity. Using micro data from Chinese farmers, and further show that ICT use significantly improves the technical efficiency of smallholders. , using the policy shock generated by U.S. rural broadband grants, also find that improved digital infrastructure raises agricultural productivity. Taken together, these studies indicate that digital technologies do much more than change access to information; they may systematically affect agricultural development by reducing transaction costs, improving decision-making, and enhancing resource allocation.\n\nIn terms of technological form, agricultural digitalization is no longer confined to information access alone. Rather, it increasingly involves sensing, recognition, analysis, and execution throughout the production chain. argue that edge artificial intelligence can enhance efficiency, quality, and sustainability across agricultural production, processing, storage, and transportation. show that digital innovations are reshaping how sustainability in food systems is monitored, reported, and verified. Consistent with this line of work, show in a systematic review that precision agriculture has already accumulated relatively strong evidence of input reduction and environmental improvement. This implies that low-altitude technologies—such as drones, remote sensing, low-altitude monitoring, and data transmission—can be understood as a further deepening of digital and precision agriculture. Their effects are therefore unlikely to be confined to a single operational link and may instead influence productivity, green development, and industrial coordination simultaneously.\n\n### 2.2 Extending the literature: from digital agriculture to the low-altitude economy\n\nAlthough the literature has provided substantial evidence that digital technologies and precision agriculture improve agricultural performance, most existing studies focus on ICT use, digital infrastructure, extension design, or specific precision-agriculture tools. Much less is known about how a more complex technology–industry configuration affects HQAD at the regional level. emphasizes the broader opportunities and policy implications of digital innovation; and focus on the effects of ICT and broadband infrastructure on farm efficiency and agricultural productivity; , , and emphasize the sustainability value of digital sensing, intelligent recognition, and precision agriculture. Compared with these studies, the low-altitude economy is not a single technology. Rather, it is an integrated industrial form that combines low-altitude equipment, remote-sensing data, flight services, logistics organization, and infrastructure provision. Its influence is therefore likely to be more systemic and more regional in nature.\n\nIn the context of HQAD, the low-altitude economy may operate through at least three channels. First, in production, drone-based crop protection, low-altitude remote sensing, and intelligent monitoring can improve input precision, reduce labor costs, and enhance the timeliness of farm decision-making. Second, in circulation, the combination of low-altitude logistics and digital platforms may shorten delivery radii and response times, thus improving supply-chain coordination. Third, in governance and service provision, the LAEDL is often accompanied by parallel improvements in equipment supply, data processing, maintenance services, and institutional support, thereby offering broader support for agricultural quality upgrading. Accordingly, the impact of the low-altitude economy on HQAD should not be understood solely through the lens of single-point technology adoption, but rather within a broader framework in which technology, industry, and institutions are jointly coupled. This perspective is consistent with the systemic view of digital agriculture emphasized by , , and .\n\n### 2.3 Spatial linkages, technology diffusion, and regional externalities\n\nThe economic consequences of agricultural technologies are not confined to individual production units or single regions. They are often accompanied by diffusion effects and spatial externalities. , for example, use social-network changes generated by church mergers in the U.S. Midwest and show that expanded social ties significantly increase fertilizer adoption, highlighting the networked nature of technology diffusion. similarly show in a randomized trial from Myanmar that digitally supported extension improves farmers’ knowledge acquisition and input-use behavior, and that the effects vary across extension designs. These studies imply that the impacts of agricultural technologies depend not only on the technologies themselves, but also on information networks, organizational carriers, and regional linkages. Because flight services, remote sensing, and low-altitude logistics all exhibit strong cross-regional mobility, the agricultural effects of the low-altitude economy are likely to extend beyond any single province.\n\nImportantly, spatial connectedness does not necessarily imply one-way positive spillovers. show that participation in agri-environmental schemes affects not only enrolled farmland but also non-enrolled plots, generating spillovers. identify strong agglomeration externalities in seafood exports and show that regional clustering affects firms through different margins. These studies suggest that interregional linkages may produce knowledge diffusion, organizational coordination, and scale economies, but they may also generate resource competition, factor siphoning, and market crowding-out. This possibility is especially relevant for the low-altitude economy. Leading regions may stimulate surrounding agricultural development through technological diffusion and service radiance, yet they may also absorb scarce talent, capital, and infrastructure resources, thereby intensifying competitive pressure on neighboring regions. For this reason, both spatial spillovers and spatial competition need to be incorporated into the analytical framework.\n\nThese mechanisms can be organized around two established bodies of theory. Technology-diffusion theory holds that the productivity gains from a new technology spread gradually through space and social networks rather than appearing everywhere at once (; ), so the agricultural payoff of the low-altitude economy should depend on how quickly low-altitude equipment, operating standards, and shared service providers diffuse from leading provinces to their neighbors. Knowledge-spillover theory, in turn, shows that R&D and innovative activity generate geographically localized externalities (; ), which—together with the spatial-econometric tradition (; )—implies that provincial agricultural quality is unlikely to be spatially independent. Taken together, these theories motivate a causal pathway in which regional low-altitude industrial capacity raises local agricultural quality directly and, through diffusion and spillovers, is associated with the agricultural performance of neighboring regions.\n\n### 2.4 Conditional heterogeneity, absorptive capacity, and nonlinear effects\n\nThe literature also shows that the benefits of agricultural technologies are strongly conditional. Using randomized experimental data, find substantial heterogeneity in the economic impact of integrated pest management for mango fruit flies. likewise show that ICT improves technical efficiency more strongly among farmers who were initially less efficient. further demonstrate that different digitally supported extension designs generate different outcomes in terms of knowledge improvement and input use. These findings imply that technologies do not affect all regions or actors with equal intensity. Rather, their effects are conditioned by existing resource endowments, infrastructure, organizational capacity, and the institutional environment.\n\nExtending this insight to the low-altitude economy suggests that its contribution to HQAD is also likely to be nonlinear. Regions with higher levels of economic development often possess better digital infrastructure, stronger equipment-support capacity, and more mature agricultural service systems, making it easier to convert low-altitude technologies into realized production gains. Regions with higher urbanization and more advanced industrial structures also tend to enjoy stronger factor mobility, better organizational coordination, and more complete complementary services, all of which facilitate the deeper integration of the low-altitude economy into agricultural production systems. , , and all highlight the importance of infrastructure, technological environments, and institutional support as prerequisites for the productive use of digital technologies. Hence, the effect of the low-altitude economy on HQAD is unlikely to be linear and homogeneous; rather, it is likely to depend strongly on regional absorptive capacity and development stage.\n\nThis conditional pattern is best understood through absorptive-capacity theory, which argues that the ability to convert external technology into realized gains depends on the recipient’s prior knowledge base, infrastructure, and complementary capabilities (). Applied to our setting, low-altitude industrial capacity should translate into agricultural quality only where provinces have crossed a threshold of digital infrastructure, human capital, and agricultural-service organization; below that threshold the same industrial capacity yields little measurable agricultural return. This logic provides the theoretical basis for the threshold and moderation specifications below, in which economic development, urbanization, and industrial upgrading govern the strength of the LAEDL–HQAD relationship.\n\n### 2.5 Theoretical framework and research hypotheses\n\n#### 2.5.1 Conceptual clarification\n\nBefore specifying the hypotheses, we clarify the core constructs to avoid conceptual ambiguity. We distinguish the low-altitude economy as an industrial sector from low-altitude agricultural technology as an application scenario. Following the emerging literature on the low-altitude economy (), we define the low-altitude economy as an integrated techno-industrial system organized around the use of civil low-altitude airspace, encompassing general-aviation and UAV manufacturing, drone R&D and operation, low-altitude logistics and flight services, and the supporting infrastructure and governance arrangements. Our explanatory variable, the LAEDL, accordingly measures the regional capacity of this industrial system, rather than the intensity of any single on-farm application such as drone-based crop protection. Low-altitude agricultural technology, by contrast, refers to the deployment of low-altitude tools within agricultural production and circulation, and is only one of the channels through which the low-altitude economy may influence agriculture.\n\nFollowing the now-standard operationalization in the Chinese agricultural-economics literature (; ), we define HQAD as agricultural development that is simultaneously innovation-driven, internally coordinated, environmentally green, externally open, and socially shared. This conceptualization, grounded in the new development philosophy, motivates the five-dimension measurement system reported in [Appendix A](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-foo","Frontiers in Sustainable Food Systems 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推动电商平台下沉赋能","http:\u002F\u002Fwww.jinchuan.gov.cn\u002Fzfxxgk\u002Fxzbmxxgk\u002Fzfbmxxgk\u002Fqswj\u002Ffdzdnrgk\u002Fgzdt\u002Fart\u002F2026\u002Fart_4eba5a9c8bc94d8b96e17aeb0abc4d7e.html","商务部等7部门印发品质电商\"五优\"行动,深入实施数商兴农和农村电商高质量发展,推动电商平台完善县域服务设施、增加绿色有机名特优新和地理标志农产品供给、对接农业品牌精品培育计划,建设中国消费名品方阵;并推动人工智能与电商深度融合、创新智能体等电商服务新模式。","（四）提升商家品质运营能力。深入开展电子商务惠民惠企活动，做优全国电子商务公共服务网，面向中小商家举办定制化培训。利用电子商务国家专业技术人员继续教育基地、“云上大讲堂”等载体开发公益性品质电商课程。引导地方建立健全电商产业园区质量管理服务体系，引入专业可信的质量检测等服务，结合园区内中小制造企业、跨境电商、直播电商等商家需求，针对性开展质量管理、标准应用、诚信合规、品牌建设等主题培训。\n\n（五）创新发展电商消费品牌。加快电商领域消费品牌建设，构建品牌库、孵化库等分级服务体系，为品牌成长提供系统化支撑。深入实施“数商兴农”和农村电商高质量发展、“互联网+”农产品出村进城工程，推动电商平台完善县域服务设施，提升本地化服务能力，增加绿色、有机、名特优新和地理标志农产品供给，发展农产品区域公用品牌，对接农业品牌精品培育计划，让更多源头好物直连消费者。继续深化数字化助力消费品工业“三品”行动，建设中国消费名品方阵，支持符合条件的消费品生产制造企业申报专精特新企业。\n\n（六）赋能品质商家市场开拓。开展“电商+产业带”培育行动，鼓励各地规划布局电商选品中心，重点支持具有核心技术、原创设计的中小卖家对接电商渠道，提升品牌知名度。发挥电商平台作用，依托订单直采、外贸优品专区等渠道，支持外贸企业拓展国内市场，扩大外贸优品消费。支持电商相关产品研发和服务创新，推动人工智能与电商深度融合，创新智能体等电商服务新模式，提升用户体验。开展“产业电商惠企对接”，推动一批产业带企业与电商平台达成合作，促进产业升级，形成经济新增长点。","金川区人民政府(2026-10-15)","2026-10-15T00:00:00Z",85,{"impact":190,"substance":18,"depth":17,"authority":81,"freshness":67,"relevant":21,"comment":191},26,"七部门联合部署品质电商“五优”行动，含数商兴农、县域电商服务设施、农产品区域公用品牌等实质条款，全国性政策层级高，值得进入每日精选。",[193],{"name":186,"url":183},[144,147,195,196,197],"农产品品牌","电商平台","品质电商",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":201},{"candidates":202,"agricultural_evidence":44},[203],{"code":30,"score":82,"supported":44,"title":204,"abstract":205,"tags":207},[],[144,206],"地理标志",[195,144,147],[209,210],"商务部 品质电商 五优行动","数商兴农 农产品出村进城","商务部品质电商五优行动-5251","2026-10-19T00:07:31.152933Z",{"id":214,"title":215,"url":216,"summary":217,"summary_zh":218,"content":8,"source_name":219,"source_url":216,"published_at":220,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":221,"score_detail":222,"sources":225,"tags":227,"primary_topic":232,"secondary_topics":233,"classification":234,"search_phrases":260,"slug":263,"view_count":21,"doi":264,"paper":265,"created_at":279},4793,"Geographical indication adoption and county employment dynamics in China: stacked DID evidence on rural-urban and regional heterogeneity","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1967743","Geographical indications (GIs) are widely promoted as place-based institutions that can strengthen rural economies. Yet existing evidence is mixed on whether GI benefits translate into broad-based local employment gains, and whether impacts differ across regions with unequal market access and factor mobility. Using a county-year panel for China spanning 2000–2023 and three overlapping GI channels (protected products, agricultural GI registration, and trademark registration), we estimate dynamic employment responses to GI adoption with stacked difference-in-differences designs that address staggered treatment timing. Rural employment rates rise following GI adoption and remain higher several years after designation, whereas urban employment effects are smaller and more heterogeneous. Macro-regional analyses indicate that rural gains are concentrated in Western China, while Central China exhibits weak or negative rural responses at longer horizons. For urban employment, estimates are imprecise in the East and Central regions and turn negative in the West at 5-year horizons. Province-level results reinforce substantial heterogeneity but are sensitive to treated support and inference limitations. The findings clarify when and where GIs function as effective rural development instruments and motivate more place-sensitive GI governance that complements certification with market access, processing capacity, and local labor demand.","地理标志（geographical indications, GIs）被广泛推崇为能够增强农村经济的地方性制度。然而，现有证据对于地理标志收益能否转化为广泛的本地就业增长，以及其影响在不同市场准入和要素流动性不均的地区之间是否存在差异，仍莫衷一是。本文使用涵盖2000—2023年中国县级面板数据以及三个相互重叠的地理标志渠道（受保护产品、农产品地理标志登记和商标注册），通过堆叠双重差分设计解决处理时间交错问题，估计地理标志采纳的动态就业响应。地理标志采纳后，农村就业率上升，且在认定数年后仍保持较高水平，而城镇就业效应较小且更具异质性。宏观区域分析表明，农村收益集中在中国西部，而中部地区在较长时期内的农村响应较弱甚至为负。对于城镇就业，东部和中部地区的估计不精确，西部地区在5年期限上转为负值。省级层面的结果印证了显著的异质性，但对处理组支持情况和推断局限性较为敏感。本文的发现厘清了地理标志在何时、何地能够作为有效的农村发展工具发挥作用，并推动更具地方敏感性的地理标志治理，将认证与市场准入、加工能力和本地劳动力需求相配套。","Frontiers in Sustainable Food Systems","2026-10-12T00:00:00Z",81,{"impact":17,"substance":18,"depth":223,"authority":81,"freshness":82,"relevant":21,"comment":224},19,"基于2000—2023年县域面板与堆叠DID方法，揭示地理标志对农村就业的异质性影响，方法扎实、结论有政策参考价值，但属学术论文而非即时资讯。",[226],{"name":219,"url":216},[228,229,206,230,231],"乡村振兴","县域经济","区域差异","农村就业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":235},{"candidates":236,"agricultural_evidence":44},[237,245,250,255],{"code":238,"score":239,"supported":44,"title":240,"abstract":241,"tags":244},"G",7,[],[242,243],"农村发展","rural development",[228],{"code":30,"score":246,"supported":44,"title":247,"abstract":248,"tags":249},4,[],[206],[206],{"code":50,"score":43,"supported":44,"title":251,"abstract":252,"tags":254},[],[253],"GIS",[],{"code":256,"score":21,"supported":14,"title":257,"abstract":258,"tags":259},"G4",[],[],[229],[261,262],"地理标志 县域就业 中国","乡村振兴 农村就业 区域差异 县域经济","地理标志县域就业中国-4793","10.3389\u002Ffsufs.2026.1967743",{"doi":264,"openalex_id":266,"authors":267,"venue":219,"cited_by_count":126,"oa_url":216,"card":272,"direction":276,"ingested_from":278},"W7221548155",[268,270],{"name":269,"orcid":8},"Yingju Zhang",{"name":271,"orcid":8},"Jumin Zhao",{"tldr":273,"method":274,"finding":275,"direction":276,"opportunity":277},"用堆叠DID评估中国地理标志采纳对县域城乡就业的动态影响及区域异质性。","2000-2023年县域面板数据，三种GI渠道，堆叠双重差分法。","GI采纳后农村就业率上升且持续，城市效应较小；西部农村增益集中，中部长期偏弱。","数字乡村与农业信息化","可探究GI与数字市场接入、加工能力协同如何放大农村就业效应，并关注中部负向机制。","openalex","2026-10-13T23:30:06.923434Z",{"id":281,"title":282,"url":283,"summary":284,"summary_zh":8,"content":285,"source_name":286,"source_url":8,"published_at":287,"category":77,"cover_url":8,"hotness":13,"is_selected":14,"score":288,"score_detail":289,"sources":293,"tags":295,"primary_topic":298,"secondary_topics":299,"classification":300,"search_phrases":323,"slug":326,"view_count":21,"doi":8,"paper":8,"created_at":327},4764,"农村电商成推动乡村振兴重要引擎","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7694491261629268520","围绕《加快农业农村现代化十五五规划》和2026年中央一号文件部署,分析农村电商高质量发展路径。文章以陕西平利村播等案例展示订单农业加标准赋能加品牌升级模式,论证手机成为新农具、直播成为新农活、数据成为新农资的转型逻辑,指出农村电商正推动县域消费从边缘地带走向战略前沿。","**当前，我国乡村消费品零售额占社会消费品零售总额的比重稳步提升，县域地区正从消费版图的“边缘地带”加速走向“战略前沿”，县域消费逐渐成为我国驱动内需增长的重要引擎。《加快农业农村现代化“十五五”规划》指出，实施农村电商高质量发展工程，加快农村电商迭代升级，规范发展农产品直播带货，开展“数商兴农”。2026年中央一号文件明确提出“推动电商平台下沉赋能”，乡村电商正推动乡村经济从“外部输血”向“内生造血”深度转型，成为激活乡村资源、培育本土主体、提高乡村经济发展韧性的关键支撑。**\n\n## 重塑农业生产方式\n\n农村电商根基在产业，关键在链条，绝不仅仅是给农产品挪了一个“网上摊位”。传统农业长期面临“种什么、怎么种、种多少”三大难题，丰产不丰收的现象屡见不鲜。随着农村电商快速发展，“产地直采”“定制生产”等新模式正在快速兴起，不少地方农产品依托网上订单，采用“订单农业+标准赋能+品牌升级”模式，通过定制种植标准、输出技术指导、共建特色品牌，推动农产品从“按经验种”转向“按订单种”。数字技术深度嵌入农业生产链条，农业生产方式从传统经验判断转向数据驱动，从粗放管理转向精细管控，从碎片化经营转向集约化生产，消除了农民群众“卖货难”的后顾之忧，让小农户融入了大产业，对接上大市场。\n\n手机由此成了新农具，直播成了新农活，数据成了新农资。在陕西省安康市平利县，主播手拿一块八仙“块块糖”在直播间对着镜头：“咬上一口，酥脆香甜，天星米、核桃和苏麻的香味在嘴里慢慢化开，越嚼越香。过年过节、走亲访友，都是绝佳的伴手礼……”主播介绍，产品以前只靠线下批发零售，销路窄，山货走不出去。现在通过直播，产品远销上海、广东等地，上个月线上销售额突破了3万元。这一改变，离不开“平利村播”搭建的平台。近年来，该县摸排电商人才需求，建立动态人才台账，通过分层分级渐进式培养，构建起“基础培训+进阶提升+精英精进”的人才培养体系。优质的村播培育平台，既助力本土涉农企业转型升级，也为普通村民开辟了增收新路。\n\n专家表示，电商助农的主角永远是土地和农民。从最初回应网友的购买需求开启直播，到如今发展乡村订单农业，新农人们的发展之路见证了“主播+合作社+农户”模式的成功。围绕乡村特色产业，以乡村合作社为载体，整合资源、规范生产，将更加有力地推动特色农产品从“有品相”转向“有品牌”，变“零散卖”为“规模销”，从而带动乡亲们在家门口就业，实现兴一业、富一方。\n\n## 促进农民稳定增收\n\n农村电商发展拓宽了农产品销售渠道，激活了农民主体性，成为农民增收致富的有效抓手。长期以来，不少农产品面临“藏在深山无人识”的困境，销售渠道单一。如今，鲜为人知的土特产，通过网络走出大山；农民自己当主播，带火“网红”农货。越来越多农民“扛得了锄头、玩得了直播”。每件农产品都打上标签、可追溯源头，原汁原味的特产、满满诚意的乡情引得消费者纷纷下单。农村电商发展，既让农民“离土不离乡”，实现就近就业，更是把更多收益留在乡村、留给农民。从“卖得掉”到“卖得好”，从“按筐卖”到“按个卖”，从“卖原料”到“卖品牌”，好产品卖出了好价钱，实打实装进了农民口袋。而且，不少“村播”带火了乡村旅游，把绿水青山转化为金山银山，开辟了农民增收新空间。\n\n今夏，台风“巴威”逼近福建福清，果农刘云明4000斤葡萄集中成熟，若不及时抢收与销售恐遭风毁。接到求助后，当地多单位联合行动，次日农技人员入园抢收，融媒开启助农直播，社群团购、干部代销、经销商包销多方发力，短短几小时就搭建起应急销售网络。不到一天，原本可能烂在果园里的4000斤葡萄全部售罄。这类真实发生的案例，印证着网络助农实实在在的价值。\n\n专家指出，“新农人”群体虽具有较强的数字应用意愿，但其数字素养不足、应用层次较浅，也造成了其利用数字技术发展乡村产业“心有余而力不足”的局面。要解决这一困境，必须提升“新农人”的数字应用素养，使其能够依靠数字技术获得实实在在的增收。基层党组织和政府要着力构建分层分级的精准化培训体系。针对不同的“新农人”群体，开展农业全产业链技术技能培训，把智慧农业、农产品网络销售、手机应用技能等内容纳入培训课程体系。\n\n## 畅通城乡双向流动\n\n农村电商发展，正以数字化、平台化的独特优势，成为畅通城乡要素双向流动、激活乡村振兴内生活力的关键纽带。以往，商品流通主要是从城市流向农村，农产品走出大山并不容易。现在农村现代物流配送体系不断完善、电商平台加速下沉、城乡交通网络不断织密，农产品实现“产地直发”，通过全程冷链、预先设置揽收点等方式，有效缩短在途时间、减少损耗保鲜问题。从人才流动看，农村电商催生了下乡电商人才、乡村主播、数字农业技术员等“新农人”群体，把手机作为“新农具”，把直播变成“新农活”，把土地种上“云端”。\n\n近年来，农村电商快速发展，我国基本建立起县、乡、村三级电子商务服务体系和物流配送体系，在拓宽农产品销路、促进农村消费中发挥的作用愈发凸显。相关数据显示，2025年，农村网络零售额、农产品网络零售额分别为3万亿元、7833.1亿元。物流网络日趋完善，农村物流“最后一公里”持续打通，2025年，全国县级物流配送中心覆盖率达100%。电商已不再只是销售通道，而是深度嵌入乡村振兴、产业升级，成为推动就业增收的重要引擎，让越来越多的基层群众搭上了“数字快车”。\n\n直播间架在乡村地头，网线连通广阔市场。刚刚过去的9月，浙江嘉兴举办了“数商兴农·嘉品共富”2026嘉兴数字乡村消费季活动。据不完全统计，活动期间该市开展直播超4300场，实现销售额超1.78亿元。从田间地头到“云端货架”，数字经济正加速重构当地乡村消费场景。消费季期间，嘉兴鼓励特色农产品通过主流电商、即时配送和社区团购平台开展线上销售，让乡村好物从自产自销加快走向“线上直销”。其中，海盐县举办葡萄直播专场，主推国家地理标志产品，销售葡萄2014公斤，实现销售额11万元；海宁市组织15家农村电商企业参与活动，聚焦花卉园艺、本土特色农产品开展直播，累计直播超600场，线上销售额突破2000万元；嘉兴经开区组织6家商家开展助农直播20场，发放消费优惠券600万元，直接带动销售额2000万元。\n\n专家指出，不再单纯追求卖得多，而是向卖得稳、卖得好转变，正是电商助农努力突破的方向。通过地标认证、品质严选，把正宗产地、产品标准摆在明面上，补齐农产品的信任短板。与此同时，产地供应链、仓储冷链、分级分选这些看不见的硬功夫，也要同步跟上。直播间只是对外展示的窗口，真正的底气藏在田间分选、包装发货的每一个环节。手机可以成为新农具，但不能替代田间劳作、车间生产；直播可以拓宽销路，但走红市场的关键还在于品质。","中国食品报 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直播","平利村播农村电商-4764","2026-10-13T00:08:33.942402Z",{"id":329,"title":330,"url":331,"summary":332,"summary_zh":8,"content":8,"source_name":333,"source_url":8,"published_at":334,"category":136,"cover_url":8,"hotness":13,"is_selected":44,"score":335,"score_detail":336,"sources":341,"tags":343,"primary_topic":346,"secondary_topics":347,"classification":348,"search_phrases":355,"slug":357,"view_count":126,"doi":8,"paper":8,"created_at":358},4618,"商务部等7部门发布关于实施品质电商五优行动的通知","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7694864762768720420\u002F","商务部、中央网信办、国家发改委、工信部、农业农村部、市场监管总局、邮政局7部门联合印发《关于实施品质电商五优行动的通知》。重点任务包括:加强品质电商主体培育、建立全链路品控体系;深入实施数商兴农和互联网+农产品出村进城工程,增加绿色、有机、名特优新和地理标志农产品供给;纠治自动跟价、全网最低价等无序竞争,围绕618、双11等节点规范网络消费环境。","中新经纬 2026-10-10","2026-10-10T00:00:00Z",94,{"impact":337,"substance":338,"depth":17,"authority":339,"freshness":13,"relevant":21,"comment":340},28,23,15,"七部门联合发文，含数商兴农、农产品出村进城等实质条款，全国性政策层级高、时效新，值得进入每日精选。",[342],{"name":333,"url":331},[144,147,197,344,345],"农产品出村进城","网络消费环境",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":349},{"candidates":350,"agricultural_evidence":44},[351],{"code":30,"score":291,"supported":44,"title":352,"abstract":353,"tags":354},[],[206],[144,147],[210,356],"农产品出村进城 网络消费环境 农村电商 品质电商","数商兴农农产品出村进城-4618","2026-10-11T00:09:35.998753Z"]