[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2403":3,"related-2403":89},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":48,"search_phrases":73,"slug":76,"view_count":77,"doi":8,"paper":78,"created_at":88},2403,"乡村治理数字化对农民增收的影响研究——基于县域数字乡村指数与CFPS微观调查数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127622.html","统计与决策2026年第02期。付莎、王军将《县域数字乡村指数》和CFPS微观调查数据进行匹配，实证探究乡村治理数字化对农民增收的影响。结果表明：乡村治理数字化有助于促进农民增收，具有益贫效应（在农村未接入互联网和低收入群体中增收效应更强）；通过提高农民数字素养、提升农民对本地官员的信任度来促进农民增收；对高学历农民的增收效应更显著。",null,"统计与决策 | 2026-09-09","2026-09-09T00:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,5,1,"核心期刊实证研究，将县域数字乡村指数与CFPS微观数据匹配，揭示乡村治理数字化的益贫效应与信任机制，对数字乡村政策有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","乡村治理","数字素养","农民增收","县域经济",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[37,43],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},"G5","rural-governance","乡村治理与人才","\u002Ftopic\u002Frural-services\u002Frural-governance","G",{"code":44,"slug":45,"name":46,"path":47,"parent_code":42},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration",{"status":49,"locked":13,"version":50,"method":51,"evidence":52},"classified","2026-10-22.2","rules",{"candidates":53,"agricultural_evidence":55},[54,59,64,68],{"code":31,"score":18,"supported":55,"title":56,"abstract":57,"tags":58},true,[25],[25],[25,27],{"code":38,"score":60,"supported":55,"title":61,"abstract":62,"tags":63},12,[26],[26],[26],{"code":44,"score":60,"supported":55,"title":65,"abstract":66,"tags":67},[28],[28],[28],{"code":69,"score":20,"supported":13,"title":70,"abstract":71,"tags":72},"G4",[],[],[29],[74,75],"乡村治理 农民增收 县域经济 数字乡村","乡村治理 农民增收","乡村治理农民增收县域经济数字乡村-2403",3,{"doi":8,"openalex_id":8,"authors":79,"venue":8,"cited_by_count":80,"oa_url":8,"card":81,"direction":85,"ingested_from":87},[],0,{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"匹配县域数字乡村指数与CFPS数据，实证检验乡村治理数字化对农民增收的影响。","县域数字乡村指数与CFPS微观调查数据匹配，实证回归分析。","乡村治理数字化促进农民增收且具益贫效应，通过提升数字素养与官员信任实现。","数字乡村与农业信息化","可探究治理数字化益贫效应的长期动态及不同治理场景下的异质性机制。","agent","2026-09-14T00:06:33.536950Z",{"total":90,"page":20,"page_size":90,"items":91},6,[92,152,231,302,344,390],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":8,"content":8,"source_name":97,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":98,"score_detail":99,"sources":105,"tags":107,"primary_topic":111,"secondary_topics":112,"classification":114,"search_phrases":140,"slug":143,"view_count":20,"doi":8,"paper":144,"created_at":151},4402,"数字乡村建设：通往城乡融合的路径检验 — 来自长三角电子商务进农村综合示范县的证据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fzrzyxb\u002Fmulu\u002F456395.html","基于长三角 151 个县域城乡数据,通过耦合协调度模型、Dagum 基尼系数法以及多期 DID 等方法探究,电子商务进农村综合示范县政策显著提高县域城乡融合发展水平;未列入淘宝村建设的地区尤其是偏远欠发达地区居民更能从电子商务建设中获利;机制上更依赖信息壁垒破除和创业活力提升路径,在滞后数字生活环境下推进示范县政策更有利于促进城乡融合发展。","无锡学院数字经济与管理学院 浙江工业大学经济学院《自然资源学报》",80,{"impact":17,"substance":100,"depth":101,"authority":102,"freshness":103,"relevant":20,"comment":104},23,19,14,2,"基于长三角151个县域的多期DID实证研究，方法规范、结论可靠，对数字乡村与城乡融合政策有较强参考价值，但发布日期不明、时效性偏弱。",[106],{"name":97,"url":95},[25,108,29,109,110],"长三角","城乡融合","电子商务进农村",{"code":44,"slug":45,"name":46,"path":47,"parent_code":42},[113],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":49,"locked":13,"version":50,"method":51,"evidence":115},{"candidates":116,"agricultural_evidence":55},[117,122,127,132,136],{"code":44,"score":118,"supported":55,"title":119,"abstract":120,"tags":121},11,[109],[109],[],{"code":31,"score":123,"supported":55,"title":124,"abstract":125,"tags":126},9,[25],[],[25],{"code":128,"score":20,"supported":13,"title":129,"abstract":130,"tags":131},"E5",[],[],[110],{"code":69,"score":20,"supported":13,"title":133,"abstract":134,"tags":135},[],[],[29],{"code":38,"score":20,"supported":13,"title":137,"abstract":138,"tags":139},[],[],[109],[141,142],"长三角 电子商务进农村 综合示范县","数字乡村 城乡融合 县域","长三角电子商务进农村综合示范县-4402",{"doi":8,"openalex_id":8,"authors":145,"venue":8,"cited_by_count":80,"oa_url":8,"card":146,"direction":85,"ingested_from":87},[],{"tldr":147,"method":148,"finding":149,"direction":85,"opportunity":150},"基于长三角151县数据，检验电商进农村示范县政策对城乡融合的促进作用。","耦合协调度模型、Dagum基尼系数与多期DID，使用长三角县域面板数据。","示范县政策显著提升城乡融合，偏远欠发达地区获益更多，机制为破除信息壁垒与提升创业活力。","可探究数字生活滞后地区政策效果的长期持续性及信息壁垒破除的微观农户机制。","2026-10-08T00:07:46.709393Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":157,"content":8,"source_name":158,"source_url":155,"published_at":159,"category":11,"cover_url":8,"hotness":160,"is_selected":13,"score":98,"score_detail":161,"sources":163,"tags":168,"primary_topic":172,"secondary_topics":173,"classification":175,"search_phrases":202,"slug":205,"view_count":90,"doi":206,"paper":207,"created_at":230},3562,"Toward Common Prosperity: Spatially Heterogeneous Effects and Mechanisms of Digital Village Construction on the Urban–Rural Income Gap in Mountainous China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101801","Mountainous regions are critical to promoting inclusive growth and reducing spatial inequality worldwide. Digital village construction offers a new pathway to overcome geographical constraints and reshape urban–rural income distribution in these areas. Using county-level data for 2020 and focusing on mountainous China, this study integrates the Theil index, IV-2SLS, MGWR, and mediation models to characterize the spatial pattern of the urban–rural income gap (URIG) and identify the spatially heterogeneous effects and potential mechanisms of digital village construction across different geomorphological settings. The results indicate that: (1) Large and highly dispersed URIG are concentrated in mountainous regions. On average, the gap is approximately twice as large as that in non-mountainous regions and varies markedly across geomorphological types. URIG is highest in mountain counties, shows the greatest variation in plateau counties, and tends to be lower in hill counties. (2) Digital village construction exerts a significant negative effect on URIG in mountainous China, with the effect being stronger than in non-mountainous regions and generally increasing in magnitude from east to west. (3) The effects of different DVI dimensions on URIG exhibit substantial spatial heterogeneity and vary in their spatial scales of influence. Rural economy digitalization shows widespread and consistently negative effects and emerges as the dominant dimension across most mountainous regions, while the effect of other dimensions is more localized, particularly rural life digitalization, which shows stronger negative effects in mountain counties, plateau counties, and underdeveloped mountainous counties. (4) Agricultural operation modernization and labor allocation optimization constitute potential channels underlying the association between digital village construction and a narrower URIG, with the estimated indirect effect being more pronounced through labor allocation optimization. These findings provide empirical evidence for advancing inclusive development in mountainous regions amid China’s common prosperity agenda, with broader implications for place-based digital village construction.","山区对于促进包容性增长和缩小全球空间不平等至关重要。数字乡村建设为这些地区突破地理约束、重塑城乡收入分配格局提供了新路径。本研究以2020年县级数据为基础，聚焦中国山区，综合运用泰尔指数、IV-2SLS、MGWR和中介模型，刻画城乡收入差距（URIG）的空间格局，并识别数字乡村建设在不同地貌条件下的空间异质性效应及其潜在机制。结果表明：（1）规模较大且高度分散的URIG集中于山区。其平均值约为非山区的两倍，且在不同地貌类型间差异显著。URIG在山区县最高，在高原县变异最大，在丘陵县则趋于较低水平。（2）数字乡村建设对中国山区URIG具有显著负向影响，其效应强于非山区，且总体上呈自东向西递增态势。（3）数字乡村建设不同维度对URIG的影响表现出显著的空间异质性，且其影响的空间尺度各异。农村经济数字化呈现出广泛且稳定的负向效应，并在大多数山区成为主导维度，而其他维度的效应则更具局部性，尤其是农村生活数字化，在山区县、高原县及欠发达山区县表现出更强的负向效应。（4）农业经营现代化和劳动力配置优化构成数字乡村建设与URIG缩小之间关联的潜在渠道，其中通过劳动力配置优化的间接效应更为明显。上述发现为中国共同富裕议程下推进山区包容性发展提供了经验证据，并对因地制宜推进数字乡村建设具有更广泛的启示。","Land","2026-09-25T00:00:00Z",25,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":123,"relevant":20,"comment":162},"基于县域数据的实证研究，方法扎实、结论对山区数字乡村政策有参考价值，但属学术论文，公共传播热度有限。",[164,165],{"name":158,"url":155},{"name":166,"url":167},"MDPI Land 15(10), 1801 2026-09-25","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F10\u002F1801",[25,29,169,170,171],"农业数字化","山区农业","城乡收入差距",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[174],{"code":44,"slug":45,"name":46,"path":47,"parent_code":42},{"status":49,"locked":13,"version":50,"method":51,"evidence":176},{"candidates":177,"agricultural_evidence":55},[178,184,189,193,197],{"code":31,"score":179,"supported":55,"title":180,"abstract":182,"tags":183},15,[181],"digital village",[25,181],[25],{"code":44,"score":60,"supported":55,"title":185,"abstract":187,"tags":188},[186],"rural income",[186],[171],{"code":69,"score":20,"supported":13,"title":190,"abstract":191,"tags":192},[],[],[29],{"code":35,"score":20,"supported":13,"title":194,"abstract":195,"tags":196},[],[],[169],{"code":198,"score":20,"supported":13,"title":199,"abstract":200,"tags":201},"I1",[],[],[169],[203,204],"数字乡村 城乡收入差距 山区","县域 数字乡村 泰尔指数","数字乡村城乡收入差距山区-3562","10.3390\u002Fland15101801",{"doi":206,"openalex_id":208,"authors":209,"venue":158,"cited_by_count":80,"oa_url":155,"card":224,"direction":85,"ingested_from":229},"W7214349448",[210,213,216,219,221],{"name":211,"orcid":212},"Xueting Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4633-2185",{"name":214,"orcid":215},"Xiaoping Qiu","https:\u002F\u002Forcid.org\u002F0000-0001-6310-5959",{"name":217,"orcid":218},"Fubiao Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-4606-3336",{"name":220,"orcid":8},"Mingkai Xu",{"name":222,"orcid":223},"Yun Xu","https:\u002F\u002Forcid.org\u002F0000-0002-2442-7792",{"tldr":225,"method":226,"finding":227,"direction":85,"opportunity":228},"研究数字乡村建设对中国山区城乡收入差距的空间异质性影响及机制。","用2020年县级数据，结合泰尔指数、IV-2SLS、MGWR与中介模型。","数字乡村建设显著缩小山区城乡收入差距，效应自东向西增强，且存在地貌与维度异质性。","可深入探究不同地貌下数字乡村各维度的空间尺度差异及劳动力配置中介的微观路径。","openalex","2026-09-26T23:30:38.665617Z",{"id":232,"title":233,"url":234,"summary":235,"summary_zh":236,"content":8,"source_name":237,"source_url":234,"published_at":238,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":239,"score_detail":240,"sources":243,"tags":245,"primary_topic":249,"secondary_topics":250,"classification":252,"search_phrases":286,"slug":289,"view_count":20,"doi":290,"paper":291,"created_at":301},2136,"Digital village construction, rural governance, and public safety: institutional foundations for sustainable digital agricultural service ecosystems in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1908164","Digital agricultural service ecosystems depend not only on connectivity and platform adoption but also on the institutional conditions that sustain repeated exchange among smallholders, service providers, markets, and local governments. This study examines public safety as one such condition and asks whether China’s Digital Village Pilot Program is associated with changes in county-level judicially observed crime. Using panel data for 1,857 counties from 2016 to 2023, we estimate difference-in-differences models with county fixed effects and province-by-year fixed effects. Recorded crime is measured as the logarithm of criminal judgment cases from China Judgments Online and therefore captures judicially observed cases rather than the full incidence of criminal activity. The preferred estimate is −0.0807 log points, corresponding to approximately 7.8% fewer recorded criminal cases. Event-study and placebo analyses, alternative specifications, and staggered-treatment diagnostics generally preserve the negative pattern, although group-time estimates are less precise and changes in judicial disclosure after 2021 remain an important measurement concern. Evidence on the proposed channels indicates that digital village construction is associated with broader formal social-security coverage, a narrower urban–rural income gap, and greater industrial activity; these outcomes are in turn systematically related to recorded crime in the predicted directions. Heterogeneity results indicate larger public-safety gains where digital and governance capacity are stronger, with additional evidence of spatial spillovers. We interpret public safety as both a governance outcome of rural digitalization and an institutional foundation for sustainable digital agricultural service ecosystems: safer and more responsive local environments can reduce transaction risk, support institutional trust, and improve the conditions for agricultural e-commerce, digital finance, logistics, information services, rural entrepreneurship, and continued smallholder participation. These ecosystem implications are institutional rather than direct estimates of agricultural platform performance.","数字农业服务生态系统不仅依赖连接性和平台采用，还依赖维持小农户、服务提供者、市场与地方政府之间反复交换的制度条件。本研究将公共安全视为其中一项条件，并探讨中国数字乡村试点项目是否与县级司法观察到的犯罪变化相关。利用2016年至2023年1，857个县的面板数据，我们估计了包含县固定效应和省份—年份固定效应的双重差分模型。记录犯罪以中国裁判文书网刑事案件判决数量的对数衡量，因此捕捉的是司法观察到的案件，而非犯罪活动的全部发生情况。首选估计值为−0.0807对数点，相当于记录刑事案件减少约7.8%。事件研究和安慰剂分析、替代设定以及交错处理诊断总体上保持了负向模式，尽管组—时估计精度较低，且2021年后司法公开的变化仍是重要的测量隐忧。关于所提出渠道的证据表明，数字乡村建设与更广泛的正规社会保障覆盖、更小的城乡收入差距以及更高的产业活动相关；这些结果反过来又以预期方向与记录犯罪系统性相关。异质性结果表明，在数字和治理能力更强的地方，公共安全收益更大，并有空间溢出的额外证据。我们将公共安全既解释为农村数字化的治理结果，也解释为可持续数字农业服务生态系统的制度基础：更安全、回应性更强的地方环境可以降低交易风险、支持制度信任，并改善农业电子商务、数字金融、物流、信息服务、农村创业以及小农户持续参与的条件。这些生态系统含义属于制度性推论，而非对农业平台绩效的直接估计。","Frontiers in Sustainable Food Systems","2026-09-10T00:00:00Z",84,{"impact":17,"substance":100,"depth":16,"authority":18,"freshness":241,"relevant":20,"comment":242},8,"基于1857个县2016—2023年面板数据的双重差分研究，为数字乡村试点的公共安全与治理效应提供量化证据，方法规范、数据规模大，对数字农业服务生态的制度基础讨论有参考价值。",[244],{"name":237,"url":234},[25,26,246,247,248],"农业社会化服务","公共安全","县域数据",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[251],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":49,"locked":13,"version":50,"method":51,"evidence":253},{"candidates":254,"agricultural_evidence":55},[255,259,264,272,277,281],{"code":31,"score":179,"supported":55,"title":256,"abstract":257,"tags":258},[181],[25,181],[25],{"code":38,"score":123,"supported":55,"title":260,"abstract":262,"tags":263},[261],"rural governance",[],[26],{"code":265,"score":266,"supported":55,"title":267,"abstract":268,"tags":271},"G2",7,[],[269,270],"小农户","smallholder",[246],{"code":128,"score":77,"supported":55,"title":273,"abstract":274,"tags":276},[],[275],"agricultural 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