[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1032":3,"related-1032":61},{"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":28,"primary_topic":8,"secondary_topics":35,"classification":36,"search_phrases":56,"slug":59,"view_count":21,"doi":8,"paper":8,"created_at":60},1032,"数字乡村建设驱动城乡包容性增长的影响机制研究","https:\u002F\u002Fwww.progressingeography.com\u002F","原文标题:数字乡村建设驱动城乡包容性增长的影响机制研究。作者:刘炳胜、尹伊萌、马历、徐思怡。DOI: 10.18306\u002Fdlkxjz.2026.08.009。基于中国省级的面板数据,论文综合运用熵值法、核密度估计和空间计量模型等方法,系统考察了中国数字乡村建设对城乡包容性增长的影响机制。结果表明:①中国数字乡村建设水平整体呈现持续上升趋势,且存在显著的空间异质性;②城乡包容性增长指数总体上升,其空间集聚效应经历'增强—减弱—恢复'的阶段性波动,空间分异特征明显,整体呈现'东高西低'的格局;③数字乡村建设对城乡包容性增长具有显著促进作用,主要通过促进城乡人口要素流动与资本要素流动两条路径实现;④数字乡村建设对城乡包容性增长有显著的正向空间溢出效应。",null,"*   [当期目录](https:\u002F\u002Fwww.progressingeography.com\u002F#dqml)\n*   [优先出版](https:\u002F\u002Fwww.progressingeography.com\u002F#zxly)\n*   [过刊浏览](https:\u002F\u002Fwww.progressingeography.com\u002F#gkll)\n*   [下载排行](https:\u002F\u002Fwww.progressingeography.com\u002F#download)\n*   [阅读排行](https:\u002F\u002Fwww.progressingeography.com\u002F#accesses)\n*   [引用排行](https:\u002F\u002Fwww.progressingeography.com\u002F#top_cited)\n\n*   ![Image 1](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FCOVER\u002F20260827152446.png)\n\n2026年, 45卷, 第8期 \n\n 刊出日期：2026-08-28\n\n* * *\n\n[研究综述](https:\u002F\u002Fwww.progressingeography.com\u002F#%E7%A0%94%E7%A9%B6%E7%BB%BC%E8%BF%B0)\n\n[研究论文](https:\u002F\u002Fwww.progressingeography.com\u002F#%E7%A0%94%E7%A9%B6%E8%AE%BA%E6%96%87)\n\n*   全选\n\n|\n\n*   Select\n\n研究综述\n\n冯德东, 龙花楼, 向芳芳\n\n在城乡中国迈向深度融合与高质量发展背景下，全面把握城乡要素流动研究动态具有重要理论与公共政策价值。遵循“方法—机理—效应”的逻辑主线，论文对国内城乡要素流动研究进展进行系统回顾，梳理了以代理变量推断、综合评价体系和空间交互模型为核心的要素流动测度体系及其理论基础，揭示了要素流动兼具由要素禀赋差异与收益最大化驱动的内在经济逻辑以及受制度环境、区位选择与微观主体行为等外部因素共同塑造的复杂机理，归纳了要素流动在经济、社会与生态等维度上产生的多重影响效应。进而提出，未来国内城乡要素流动研究应立足于中国特有的制度环境与转型情形，强化对要素流动的多类型与多尺度耦合精准测度、动态模拟与因果机制识别研究，探索要素流动的“特征—过程—效应—调控”一体化治理体系，以期助力中国式现代化建设与城乡融合发展。 \n[![Image 2](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815200166-257740270_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815200166-257740270_pic.jpg)\n\n*   Select\n\n研究综述\n\n蔡永龙, 潘峰华, 庄甲坤, 郑星梅, 颜迪, 黄奕铭\n\n金融化已跃升为促进21世纪区域发展且重塑全球经济地理格局的关键力量。立足人文地理学视域，论文梳理了金融化的空间转向及理论演进、空间生产实践、政府角色与央地实践、全球非均衡性与多元路径等方面的主要内容。主要结论如下：① 通过吸纳地理学的空间视角，金融化从抽象经济学术语转化为具备可操作性的空间分析工具，实现了从描述金融活动区位分布转向揭示区域治理模式与空间过程机制，深化了对金融与区域发展交互关系的理论认知，推动金融地理学从经济地理学边缘位置迈向人文地理学研究范畴；② 针对住房、土地、基础设施等建成环境物质载体，政府采用结构化金融工具与资产价值重构策略，将建成环境转化为可流动与可定价的金融资产，推动建成环境的价值逻辑从使用价值导向转变为交换价值主导，塑造出分异与同质化并存的空间生产实践，加剧区域发展的非均衡性，并累积区域系统性风险；③ 金融化进程中，政府历经从规制型、推动型到利益共生型的角色演变，形成“政府—金融共生体”治理结构，重塑了中央政府与地方政府间关系及其治理实践，从全球视角可归纳为政府与市场关系结构性差异衍生的4种空间治理类型；④ 源于不同地区的发展阶段、政治经济制度和空间治理逻辑以及在全球金融体系中的空间区位锁定与地理选择机制，金融化的全球地理格局存在空间非均衡性。迄今为止，金融化研究已积累丰富成果，但现有成果仍面临以下不足：概念泛化；依赖质性案例；案例选择以全球北方、经济发达地区及国家层面为主；缺乏跨区域、跨尺度比较研究；未充分探讨与社会—空间正义的交互机制；对区域治理模式转型的认识尚显薄弱。面向未来，金融化研究迫切需要在多个方向实现突破，方能构建更具批判性、包容性和契合现实复杂性的金融化概念体系，为理解与引导金融化的地理实践提供坚实理论支撑。 \n[![Image 3](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815225564-1009203775_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815225564-1009203775_pic.jpg)\n\n*   Select\n\n研究论文\n\n方方, 王婧, 李裕瑞\n\n县城高质量发展是中国式现代化的基础支撑，对新时期统筹推进新型城镇化与乡村振兴具有重要意义。论文首先从理论层面解析了县城载体功能及其与城乡融合发展、乡村振兴的逻辑关系，然后构建县城建设水平评价体系，揭示了中国县城建设水平的区域格局及其演化规律，并借助回归分析探讨了县城建设差异的影响因素，接着建立定量方法识别了县城建设的薄弱区域，最后提出科学推进县城载体建设的优化路径。研究表明：(1) 从要素—结构—功能视角，县城作为城乡空间体系中的区域次级中心地，通过承接城市要素外溢、吸纳乡村要素转移、推动城乡互补与协同发展，进而促进城乡融合发展与乡村振兴。(2) 县城建设水平呈整体分散、局部集聚的空间格局，分维度县城建设水平的空间格局差异显著，胡焕庸线沿线地区县城建设水平普遍偏低；不同类型县城建设水平由高至低为平原县>丘陵县>山地县，其他县(脱贫县之外的县)>脱贫县，东部县>中部县>西部县>东北县；县城之间建设水平的绝对差距呈缩小态势。(3) 县域非农产业发展是提升县城建设水平的关键支撑。(4) 共识别出要素集聚弱化型、市政设施短缺型、生态环境失衡型、环境治理滞后型和综合滞后型等5类224个薄弱县城。新时期提升县城载体作用，应分类分级加强县城建设，补齐短板弱项。 \n[![Image 4](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815239083-1970396451_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815239083-1970396451_pic.jpg)\n\n*   Select\n\n研究论文\n\n牛曙晨, 程超, 秦井井, 潘悦\n\n深入剖析城市用地开发强度的时空特征，揭示“人口—经济”承载强度的动态协调关系，是新时期国土空间高质量治理背景下的重要科学命题。论文基于1980—2020年中国多时期土地利用遥感监测数据集，整合DMSP\u002FVIIRS夜间灯光数据及校准后的全球人类住区层(global human settlement layer，GHSL)人口栅格数据，从“人口—经济”视角出发，深入剖析中国城市新增建设用地开发强度的时空演变特征。研究发现：① 改革开放以来，中国城市新增建设用地开发强度在时序上呈现“N”型演进特征，在空间上呈现“东南高、西北低”的分异格局，且新增建设用地开发强度随城市规模增长而提高。② 城市新增建设用地的“人口—经济”协调水平逐年下降，但区域间差异逐渐缩小。在空间格局上，北方地区城市新增建设用地经济承载强度大于人口承载强度，而南方地区则较为均衡，但2000年后也陷入“经济—人口”倒挂的处境。③ 随着行政等级和城市规模等级提升，增量与存量用地开发强度比值呈下降趋势，即大城市的土地利用模式更倾向于“内涵式”更新，而小城市的土地利用仍以“外延式”扩张为主导。结合研究结论，未来应严格控制城市扩张规模，并基于中国不同区域和不同规模城市新增建设用地指标失衡的客观现实，构建动态差异化的调控机制，进一步完善用地绩效考核，促进国土空间可持续利用。 \n[![Image 5](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815254932-975957610_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815254932-975957610_pic.jpg)\n\n*   Select\n\n研究论文\n\n侯毅鸣, 张晓青, 贾佳, 丁梦\n\n生成式人工智能(GenAI)技术的快速发展正在深刻重塑全球劳动力市场，但其对中国职业体系的影响尚未得到系统性评估。论文基于中国职业分类体系与生成式人工智能专利文本，构建了职业GenAl技术暴露测度方法，并结合第七次全国人口普查数据，揭示了技术暴露的空间分异特征。结果表明：① 2022—2024年中国职业平均GenAl技术暴露度增长84%，高认知与新兴交叉职业暴露度最高；② 技术暴露规模呈现“东高西低”格局，山东、江苏、广东等东部省份及四川省技术暴露规模突出，北京、上海技术暴露的结构性敏感程度最高；③ 分性别的技术暴露规模分布特征相似，相较而言，河南女性技术暴露规模较大，重庆和宁夏女性技术暴露的结构性敏感程度突出；④ 城乡分异明显，城区技术暴露规模与结构性敏感程度均居首位，镇区技术暴露规模的空间集聚性最强。基于研究结论，论文提出需通过差异化数字基建与技能培训应对技术冲击，并推动性别与城乡维度的职业结构优化。 \n[![Image 6](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815282901-783169733_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815282901-783169733_pic.jpg)\n\n*   Select\n\n研究论文\n\n王一喆, 魏冶, 王一雯\n\n构建协同高效的现代化创新体系是中国实施创新驱动发展战略的核心任务，也是推动区域协调发展的核心动能。作为国家重要的老工业基地与创新驱动关键承载区，东北地区与全国核心创新板块的跨区域联动发展，是优化国家创新体系空间布局的重要一环。论文基于2004—2024年城市间专利转移数据，综合运用社会网络分析方法与指数随机图模型(ERGM)，探究中国东北地区与京津冀、长三角、珠三角三大城市群创新网络的跨区域联动格局及影响因素，为老工业基地创新转型提供理论支撑。结果表明：① 网络转移强度、增速与转移主导方向具有显著阶段性差异，在2023年“新时代推动东北全面振兴”战略部署提出后高速跃升，且东北地区专利接收量略高于转出；② 创新网络经历了从“核心—边缘”结构向多中心、广泛化协同复杂网络的转变，核心与边缘城市之间、边缘城市相互之间的联系迅速增强；③ 东北地区形成了“珠三角—辽宁”“黑龙江\u002F吉林—长三角”“内蒙古东部—京津冀”等区域间稳定特色的联动通道以及“沈阳—深圳”等核心城市间或“无锡—大庆”等次级核心城市间的高频互惠关联组合，网络逐渐演化为基于地理属性和创新能级的清晰、稳定的双重嵌套结构，区域联动进入了高度理性化、组织化的新阶段；④ ERGM揭示创新网络影响机制在不同网络阶段呈现动态分异，低速孕育阶段以地理邻近与发达城市单向虹吸主导，波动成长阶段以产业同构与创新水平马太效应主导，成熟跃升阶段由行政等级协同、互惠机制与企业外向化转型共同驱动。研究结果可为理解东北在全国创新体系中的角色演变提供动态证据，对优化国家创新体系空间布局、推动新时代东北全面振兴具有重要政策启示。 \n[![Image 7](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815305806-40058453_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815305806-40058453_pic.jpg)\n\n*   Select\n\n研究论文\n\n烟颖婕, 张志斌, 郭倩倩, 马晓敏, 赵学伟, 李婉雪\n\n城市网络作为城市间相互联系的纽带，其空间格局与组织模式合理与否，直接关系到城市规模的有序扩张、城市功能的有机整合以及城市之间的协同发展。论文以黄河流域66个地级市为研究区域，基于人口迁徙数据、百度指数与铁路班次数据分别构建人口、信息和交通网络，运用社会网络分析法及GIS空间分析法揭示城市网络的空间格局及其组织模式。结果表明：① “单一要素流”视角的网络联系表现出不同程度的“非均衡”格局。人口网络呈现出以郑州、济南、西安为核心的金字塔式结构；信息网络呈现出以省会为主导的扁平型结构；交通网络呈现出依托铁路干线分布的轴辐式结构。② 三类网络的中心性均表现出“下游强—中游稳—上游弱”的空间格局，郑州、西安、济南在三类网络中的枢纽地位稳固，其中人口和交通网络的等级结构明显，信息网络则扁平结构显现。③ 三类网络社区分布整体呈“大分散、小集聚”的特征。人口网络社区边界清晰且空间破碎度高；信息网络社区跨区域分布且空间集聚性强；交通网络社区空间依赖性和邻域集聚性显著。④ 三类网络的核心区集中于中下游地区，边缘区分布在上游地区，人口网络层级分化明显，信息网络协同性强，交通网络主干线依赖突出但区域发展仍不均衡。⑤ “多维综合流”视角下，黄河流域城市节点呈“一般城市为底、省会城市联结”的扁平化梯度结构；城市联系以同省联系为主、跨省毗邻联系为辅，且东西向联系强于南北向联系；社区结构以中上游“抱团取暖”、下游“独立为体”的形态为主；未来发展需顺应“多中心、轴带式、片区化”的空间组织模式。 \n[![Image 8](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815336027-368550913_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815336027-368550913_pic.jpg)\n\n*   Select\n\n研究论文\n\n武中哲, 程鹏\n\n在新型城镇化与乡村振兴战略协同推进的背景下，城乡融合发展试验区作为制度创新的先行区域，其人口流动模式的演变对理解中国人口流动规律与城乡融合路径具有重要意义。论文基于山东、江苏、四川、河南、江西、浙江等典型试验区的实地调查数据，运用交叉列表和多元Logit模型，分析试验区的人口流动模式、影响因素及其城乡融合效应。研究发现：① 试验区的人口流动模式呈现由行政层级间的非对称结构向对称性结构转变的鲜明趋势；② 试验区的人口流动模式是制度环境与个体家庭特征、城乡发展感知等因素共同作用的结果；③ 不同流动模式的城乡融合效应存在差异，表现在极端向下流动模式通过精英反哺效应推动城乡公共服务一体化、基础设施一体化，而向上流动(县域内)模式则对社区层面的活动参与有积极的影响。试验区的制度实践视角为识别人口流动模式及其城乡融合效应提供了新的经验证据与解析框架。 \n[![Image 9](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815363160-636014699_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815363160-636014699_pic.jpg)\n\n*   Select\n\n研究论文\n\n刘炳胜, 尹伊萌, 马历, 徐思怡\n\n推动城乡包容性增长是实现社会公平、促进经济可持续发展并迈向共同富裕的关键路径。数字乡村建设作为推动农业农村现代化的重要举措，为缓解城乡发展不平衡不充分问题提供了新的可能。然而，数字乡村建设对城乡包容性增长的具体驱动机制仍有待深入探讨。基于中国省级的面板数据，论文综合运用熵值法、核密度估计和空间计量模型等方法，系统考察了中国数字乡村建设对城乡包容性增长的影响机制。结果表明：① 中国数字乡村建设水平整体呈现持续上升趋势，且存在显著的空间异质性；② 城乡包容性增长指数总体上升，其空间集聚效应经历“增强—减弱—恢复”的阶段性波动，空间分异特征明显，整体呈现“东高西低”的格局；③ 数字乡村建设对城乡包容性增长具有显著促进作用，主要通过促进城乡人口要素流动与资本要素流动两条路径实现；数字乡村建设对城乡包容性增长有显著的正向空间溢出效应。基于上述结论，论文从增强数字乡村包容性效应、完善城乡要素流动机制以及实施差异化区域策略等方面提出相应政策建议。研究结果有助于为缩小城乡差距、提升居民福祉提供科学借鉴。 \n[![Image 10](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815373781-685145293_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815373781-685145293_pic.jpg)\n\n*   Select\n\n研究论文\n\n黄沈勇, 祁新华\n\n揭示乡村产业集群内部关系结构及运行机制，对理解地方产业可持续发展具有重要意义。论文以漳州市翠林村家具集群为例，运用社会网络分析法构建企业合作与衍生网络，系统剖析双层网络结构关联及互动对竞争力的影响。研究发现：① 合作网络呈现“高密度—短路径”稳态特征(密度0.241，平均路径长度1.888)，以分布式协作与跨模块联结支撑订单分包，夯实了快速响应与协同生产的效率基础；② 衍生网络相对稀疏(密度0.080，平均路径长度3.419)，经由师徒与亲缘分化生成新主体，在技能复制与组织再生产中增强集群韧性；③ 两类网络通过少数关键节点实现跨层互嵌(边重叠Jaccard系数0.164，56.8%的衍生边与合作边重叠)，衍生网络提供低成本信任通道，合作网络推动规则化重组，构成集群演化“双引擎”。然而，跨谱系与跨模块交互对少数通道节点存在高度依赖，易引发协同瓶颈与绩效分化。论文从双层网络视角拓展了乡村产业集群演化研究，并为促进“关系嵌入”向“制度协同”转化提供了经验依据。 \n[![Image 11](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815387568-1993270750_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815387568-1993270750_pic.jpg)\n\n*   Select\n\n研究论文\n\n罗静怡, 朱肖勇, 东梅\n\n黄河流域作为中国重要的生态屏障和农业生产基地，农业用水绿色效率的提升对维系水—粮—生态协同安全至关重要。论文基于2012—2023年黄河流域78个地级市面板数据，采用DEA博弈交叉效率模型测算农业用水绿色效率，构建城市全连接网络并通过修正引力模型与社会网络分析揭示其拓扑结构演变，进而借助GTWR模型与Boruta算法解析驱动机制的时空异质性。结果表明：① 黄河流域农业用水绿色效率整体呈波动上升趋势，年均值从0.754增至0.796，省际差距趋于收敛；空间格局表现为下游高、中上游低的梯度分布，上游追赶效应显著。② 空间关联网络呈现“全域通达、结构扁平”的演进态势，网络关联度维持满分，等级度由0.404降至0.389，多中心协同格局初显；济南、郑州作为顶级枢纽主导网络溢出，长治、运城等省际边界城市则发挥了关键的中介桥梁作用。③ 驱动机制存在显著的时空非平稳性。种植结构表现为“高位稳固”的首要正向驱动，验证了粮食主产区的规模经济效应；人口密度的正向红利呈边际递减趋势；农村居民收入对效率表现为持续负向抑制，存在“回弹效应”。空间上，种植结构的影响呈“东高西低”格局，上游地区存在过度种植高耗水作物的资源错配现象。据此，提出基于城市功能定位与资源禀赋差异的分区调控策略，以支撑黄河流域水资源可持续利用与高质量发展。 \n[![Image 12](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815399157-213024708_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815399157-213024708_pic.jpg)\n\n*   Select\n\n研究论文\n\n李冬梅, 王薇, 褚国棋, 张平宇\n\n作为乡村地域系统的重要功能，居住与农业生产互利共生发展对于黑土农区的乡村振兴至关重要。论文基于2000—2020年黑龙江省县域面板数据，在构建居住与农业功能评价指标体系的基础上，运用共生度模型、共生系数、障碍度模型等探究二者的共生关系演变及障碍因素。结果表明：① 2000—2020年，黑龙江省居住与农业功能的发展呈现明显的异步性，由山地区居住功能领先和平原区农业功能领先转向全省农业功能领先。② 整体上研究区居业共生模式呈现“先显著优化后轻微恶化”的阶段演变特征，农业功能总体上居于主导地位。空间上松嫩平原持续优化，北部山地波动式优化，三江平原和南部山地先明显优化后轻微恶化。③ 农业劳动生产率、万人拥有病床数和乡村人均用电量是影响黑土农区乡村居业共生关系的主要障碍指标，但平原区与山地区的障碍因素存在差异，据此平原区应提升乡村宜居水平、加快现代农业进程，山地区立足区域优势发展乡村新业态。 \n[![Image 13](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815413293-341067964_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815413293-341067964_pic.jpg)\n\n*   Select\n\n研究论文\n\n伍磊, 许红梅, 张浩, 张伟铭, 牛强\n\n多元补偿政策支持下，城市更新实施后该区域居民的迁居流动性显著提升，但现有研究尚未系统揭示该群体迁居特征和影响因素的独特性，难以支撑精细化安置与空间治理实践。论文以武汉都市发展区为例，基于手机信令大数据，提出识别城市更新区域人口迁移行为的方法。结合空间探索性分析、可解释机器学习等方法，对比分析了城市更新项目内迁居人群，以及邻近区域迁居人群的个体属性、迁居空间格局，探究了建成环境对迁居地选择的影响机制。研究发现：① 个体属性上，城市更新区域居民具有老龄化、男性比例高、本地户籍率高等特征；② 宏观格局上，城市更新区域居民在拆迁后有更高的概率在中心城区范围内就近、就地再择居，并伴随一定程度的人口郊区化；③ 微观选址上，城市更新人群更偏向于在便利设施丰富、与三甲医院和公园绿地距离合理、道路网密度适中的城市中心城区外围定居。上述现象可能是实施主体、补偿机制、产业结构、迁移需求逻辑等共同作用的结果。最后提出资源调配、新城发展、空间管控等政策建议。研究有助于丰富和拓展居民迁居理论，科学认识城市更新对城市空间的影响，并为政策制定提供依据。 \n[![Image 14](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815432198-409193592_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815432198-409193592_pic.jpg)\n\n*   Select\n\n研究论文\n\n陈玉龙, 赖志柱, 翟石艳, 吴乐英, 刘晓雪\n\n在多类型公共服务设施布局中，区域风险差异与资源约束并存，传统覆盖模型难以兼顾服务效率与公平性。为此，论文以城市消防设施为典型对象，在既有覆盖模型基础上提出一种考虑风险敏感性的分层覆盖模型。模型在需求侧引入火灾风险权重与差异化期望响应距离，在服务侧采用距离衰减的满意度函数，构建“大型—微型消防站”分层协同布局框架，实现“高风险优先—中低风险均衡”的统筹优化。第一层通过最大化加权满意度优化形成大型消防站等规模基准布局，第二层在此基础上以最小化新增微型消防站数量补足覆盖盲区。以郑州市主城区为研究区，基于POI (point of interest)数据与SAVEE (spatial appraisal and valuation of environment and ecosystems)方法构建火灾风险评价体系，对模型进行实证检验。结果表明，改进模型在覆盖能力、响应效率及服务一致性等方面均优于传统最大覆盖模型与单层风险敏感模型，可实现高、中、低风险区域的100%覆盖，其中高风险区多重覆盖率达98.2%；整体平均响应距离更低、分布更集中，站点服务负荷亦更为均衡，平均每站服务需求点数降至9.43。研究表明，该模型可在保障高风险区域快速响应的同时，改善中低风险区域的服务水平与覆盖表现，为城市消防设施规划分析与方案比较提供方法支持，并可为医疗、应急避难与环境监测等公共服务设施选址提供参考。 \n[![Image 15](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815448077-1308837433_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815448077-1308837433_pic.jpg)\n\n*   Select\n\n研究论文\n\n卢志伟, 余国安, 韩盼, 樊金生\n\n流路改道是泥石流扇发育的关键过程之一，影响甚至决定泥石流在扇体的演进路径和淹没\u002F堆积区域，因而是扇体山洪、泥石流灾害潜在影响评估及防控须重视的现实问题。然而，由于泥石流改道过程的强突发性和不确定性，观测数据资料匮乏，目前对泥石流扇流路改道成因机制的理解还远不深入，其预判预防尚缺乏科学基础。论文以藏东南处于活跃期的扎木弄沟泥石流扇为研究对象，系统开展扇体地貌及流路变化野外观测，并结合遥感影像，解析了2006—2025年间流路迁移过程和成因。结果显示：① 泥石流扇流路改道主要表现为“堵塞型”和“加积型”两种典型模式；② 地形超高是影响扇体流路改道倾向的主要因素，侧向坡降优势作用有限；③ 改道流路对历史废弃流路存在路径依赖倾向；④ 流路改道在单个事件尺度上较为随机，但在多个事件累积的较长时间尺度上具有“循环往复”特征。论文为观察泥石流扇的流路改道过程积累了自然样本和原型观测资料，有助于扇体地貌动力模型关键参数凝炼与验证，可为泥石流灾害防控提供科学参考。 \n[![Image 16](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815461549-1425970231_pic.jpg)](https:\u002F\u002Fwww.progressingeography.com\u002Ffileup\u002F1007-6301\u002FPIC\u002F1787815461549-1425970231_pic.jpg)\n\n**2026 Vol. 45**[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI7)[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI3)\n[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2026\u002FV45\u002FI1)\n**2025 Vol. 44**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2025\u002FV44\u002FI1)\n**2024 Vol. 43**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2024\u002FV43\u002FI1)\n**2023 Vol. 42**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2023\u002FV42\u002FI1)\n**2022 Vol. 41**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2022\u002FV41\u002FI1)\n**2021 Vol. 40**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2021\u002FV40\u002FI1)\n**2020 Vol. 39**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2020\u002FV39\u002FI1)\n**2019 Vol. 38**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2019\u002FV38\u002FI1)\n**2018 Vol. 37**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2018\u002FV37\u002FI1)\n**2017 Vol. 36**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2017\u002FV36\u002FI1)\n**2016 Vol. 35**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI9)[No. 8](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI8)[No. 7](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI7)\n[No. 6](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI6)[No. 5](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI5)[No. 4](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI4)[No. 3](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI3)[No. 2](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI2)[No. 1](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2016\u002FV35\u002FI1)\n**2015 Vol. 34**[No. 12](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2015\u002FV34\u002FI12)[No. 11](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2015\u002FV34\u002FI11)[No. 10](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2015\u002FV34\u002FI10)[No. 9](https:\u002F\u002Fwww.progressingeography.com\u002FCN\u002FY2015\u002FV34\u002FI9)[No. 8](https:\u002F\u002Fwww.pro","地理科学进展 2026, 45(8): 1733-1750","2026-08-24T16:00:00Z","论文",25,false,78,{"impact":17,"substance":18,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},18,20,15,5,1,"核心期刊论文，系统研究数字乡村建设对城乡包容性增长的影响机制，具有较高学术价值和政策参考意义。",[24,25],{"name":10,"url":6},{"name":26,"url":27},"地理科学进展2026年第8期","https:\u002F\u002Fwww.geores.com.cn\u002Fdlkxjz\u002FCN\u002F1007-6301\u002Fhome.shtml",[29,30,31,32,33,34],"数字乡村","省级面板","城乡包容性增长","空间计量","要素流动","东高西低",[],{"status":37,"locked":14,"version":38,"method":39,"evidence":40},"needs_review","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":14,"reason":55},[42,49],{"code":43,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},"I6",12,true,[29],[29],[29],{"code":50,"score":51,"supported":45,"title":52,"abstract":53,"tags":54},"I4",4,[],[32],[32],"农业相关性需要复核",[57,58],"城乡包容性增长 东高西低 数字乡村 省级面板","城乡包容性增长 东高西低","城乡包容性增长东高西低数字乡村省级面板-1032","2026-08-28T00:07:02.151339Z",{"total":62,"page":21,"page_size":62,"items":63},6,[64,113,170,206,247,299],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":8,"content":8,"source_name":69,"source_url":8,"published_at":70,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":72,"score_detail":73,"sources":77,"tags":79,"primary_topic":8,"secondary_topics":83,"classification":84,"search_phrases":97,"slug":100,"view_count":101,"doi":102,"paper":103,"created_at":112},5461,"Research on the multidimensional impact effects of the rural digital economy on the resilience of agricultural development: evidence from 30 provinces in China（农村数字经济对农业发展韧性的多维影响效应：来自中国30个省份的证据）","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1057\u002Fs41599-026-09360-9","基于2011—2022年30个省份数据，熵值法测度农村数字经济与农业韧性，用空间杜宾模型检验直接效应、空间溢出与技术进步中介。直接效应在西部与非粮食主产区更显著，溢出在东部与主产区更显著，技术进步仅有本地中介。","Humanities and Social Sciences Communications 2026-10-17","2026-10-17T00:00:00Z",10,82,{"impact":74,"substance":74,"depth":17,"authority":75,"freshness":62,"relevant":21,"comment":76},22,14,"基于30省11年面板数据的实证研究，方法规范、结论有区域异质性价值，属数字乡村与农业经济交叉领域的高质量论文，值得进入每日精选。",[78],{"name":69,"url":67},[29,80,81,30,82],"农业韧性","空间溢出","农村数字经济",[],{"status":85,"locked":14,"version":38,"method":39,"evidence":86},"unclassified",{"candidates":87,"agricultural_evidence":45,"reason":96},[88,92],{"code":50,"score":21,"supported":14,"title":89,"abstract":90,"tags":91},[],[],[81],{"code":43,"score":21,"supported":14,"title":93,"abstract":94,"tags":95},[],[],[29],"缺少足够的主题证据",[98,99],"农村数字经济 农业韧性","空间杜宾模型 省级面板","农村数字经济农业韧性-5461",0,"10.1057\u002Fs41599-026-09360-9",{"doi":102,"openalex_id":8,"authors":104,"venue":8,"cited_by_count":101,"oa_url":8,"card":105,"direction":109,"ingested_from":111},[],{"tldr":106,"method":107,"finding":108,"direction":109,"opportunity":110},"基于2011—2022年30省数据，检验农村数字经济对农业发展韧性的多维影响效应。","熵值法测度农村数字经济与农业韧性，空间杜宾模型检验直接、溢出与中介效应。","直接效应在西部与非粮食主产区更显著，溢出效应在东部与主产区更显著，技术进步仅具本地中介。","数字乡村与农业信息化","可深入探究技术进步跨区溢出缺失的机制，并识别主产区与非主产区差异化数字乡村政策路径。","agent","2026-10-21T00:10:08.312922Z",{"id":114,"title":115,"url":116,"summary":117,"summary_zh":8,"content":8,"source_name":118,"source_url":8,"published_at":119,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":15,"score_detail":120,"sources":126,"tags":128,"primary_topic":131,"secondary_topics":137,"classification":138,"search_phrases":157,"slug":160,"view_count":101,"doi":161,"paper":162,"created_at":169},5457,"数字化水平、农业社会化服务对农业现代化的影响 (Impact of Digitalization and Agricultural Socialized Services on Agricultural Modernization)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031","基于2013—2023年30个省份面板数据，熵值TOPSIS法测度农业现代化指数，双向固定效应模型检验机制。数字化显著促进农业现代化，经市场化水平传导，农业社会化服务起调节作用。对非粮食主产区显著，对主产区不显著。","中国农机化学报 2026-10-20","2026-10-20T00:00:00Z",{"impact":17,"substance":121,"depth":122,"authority":123,"freshness":124,"relevant":21,"comment":125},21,17,13,9,"基于30省十年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业事件，适合精选但非头条。",[127],{"name":118,"url":116},[29,30,129,130],"农业现代化","农业社会化服务",{"code":132,"slug":133,"name":134,"path":135,"parent_code":136},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":139,"locked":14,"version":38,"method":39,"evidence":140},"classified",{"candidates":141,"agricultural_evidence":45},[142,148,153],{"code":143,"score":18,"supported":45,"title":144,"abstract":146,"tags":147},"J2",[129,145],"agricultural modernization",[129],[129],{"code":132,"score":44,"supported":45,"title":149,"abstract":151,"tags":152},[150],"社会化服务",[150],[130],{"code":43,"score":21,"supported":14,"title":154,"abstract":155,"tags":156},[],[],[29],[158,159],"数字化 农业社会化服务 农业现代化","熵值TOPSIS 农业现代化指数","数字化农业社会化服务农业现代化-5457","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031",{"doi":161,"openalex_id":8,"authors":163,"venue":8,"cited_by_count":101,"oa_url":8,"card":164,"direction":109,"ingested_from":111},[],{"tldr":165,"method":166,"finding":167,"direction":109,"opportunity":168},"用省级面板数据检验数字化对农业现代化的促进机制。","2013—2023年30省面板数据，熵值TOPSIS测度，双向固定效应模型。","数字化显著促进农业现代化，经市场化传导，社会化服务起调节作用，主产区不显著。","可探究粮食主产区数字化效应不显著的成因，及社会化服务与数字化的协同机制。","2026-10-21T00:10:07.928719Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":8,"content":175,"source_name":176,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":177,"score_detail":178,"sources":181,"tags":183,"primary_topic":188,"secondary_topics":193,"classification":194,"search_phrases":201,"slug":204,"view_count":179,"doi":8,"paper":8,"created_at":205},910,"数字乡村建设驱动宜居宜业和美乡村发展的整合框架：基于2013-2022中国省级面板数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html","中国矿业大学（北京）共同富裕研究院杨璐璐、盖延凯、赵晶晶基于2013—2022年中国省级面板数据，构建数字生态系统理论视角下\"四维要素—三元互动\"整合模型，运用工具变量与动态面板模型应对内生性问题。研究发现：数字乡村建设及其各维度对和美乡村发展具有显著促进效应且结论稳健，乡村建设四维要素相互协同形成系统合力是关键；机制检验显示，乡村建设驱动绿色技术创新与农业产业集聚形成链式传导机制，驱动数字治理水平形成正向调节机制；上述路径在西部地区表现尤为突出。","0\n\n发表咨询在线!\n\n###### ![Image 1](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fmobile\u002Ftemp\u002Fmobile_53kf_1519890059.gif)\n\n您身边的学术顾问\n\n![Image 2](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Fbox_101711301676361312.gif)\n\n![Image 3](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Fbox_101711301644891649.png)\n\n![Image 4](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Ficon_on_101711301644910548.jpg)\n\n![Image 5](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Ficon_on_101711301644910548.jpg)\n\n[![Image 6: 期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002Fimages23\u002Flogo.png)](http:\u002F\u002Fwww.qikanvip.com\u002F)\n\n*   [首页](http:\u002F\u002Fwww.qikanvip.com\u002F)\n*   [SCI期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n    *   [SCIE期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fsci\u002F)\n    *   [SSCI社科类](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fssci\u002F)\n    *   [ESCI期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fesci\u002F)\n    *   [AHCI艺术人文](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fahci\u002F)\n    *   [Scopus期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fscopus\u002F)\n    *   [DOAJ开放期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fdoaj\u002F)\n    *   [OAJ开放期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Foaj\u002F)\n    *   [英文普刊](http:\u002F\u002Fwww.qikanvip.com\u002Fyingwen\u002F)\n\n*   [中文期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n    *   [核心期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fhexin\u002F)\n    *   [稳妥核心](http:\u002F\u002Fwww.qikanvip.com\u002Fhz\u002Fhexin\u002F)\n    *   [工业期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fgongyeqikan\u002F)\n    *   [教育期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjiaoyuqikan\u002F)\n    *   [农业期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fnongyeqikan\u002F)\n    *   [建筑期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjianzhuqikan\u002F)\n    *   [电子期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fdianziqikan\u002F)\n    *   [自然科学](http:\u002F\u002Fwww.qikanvip.com\u002Fzirankexueqikan\u002F)\n    *   [社科期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fshekeqikan\u002F)\n    *   [经济期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjingjiqikan\u002F)\n    *   [医学期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fyixueqikan\u002F)\n\n*   [学术常识](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n    *   [期刊常识](http:\u002F\u002Fwww.qikanvip.com\u002Fwrite\u002F)\n    *   [论文期刊百科](http:\u002F\u002Fwww.qikanvip.com\u002Fqikanbaike\u002F)\n    *   [SSCI知识](http:\u002F\u002Fwww.qikanvip.com\u002Fgdssci\u002F)\n    *   [EI期刊\u002F会议](http:\u002F\u002Fwww.qikanvip.com\u002Fgdec\u002F)\n    *   [SCOPUS常识](http:\u002F\u002Fwww.qikanvip.com\u002Fgdsps\u002F)\n    *   [翻译润色](http:\u002F\u002Fwww.qikanvip.com\u002Fgdfr\u002F)\n\n*   [著作出书](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n    *   [国际出书](http:\u002F\u002Fwww.qikanvip.com\u002Fgdcs\u002F)\n    *   [著作出书](http:\u002F\u002Fwww.qikanvip.com\u002Fkejzzhu\u002Fzzuo\u002F)\n\n*   [关于我们](http:\u002F\u002Fwww.qikanvip.com\u002Fguifan\u002F)\n\n[学术咨询](javascript:void(0))\n\n我们的服务符合学术规范和道德\n\n 专业 高端让您使用时没有后顾之忧\n\n1.   当前位置：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)\n2.   [现代财经(天津财经大学学报)2026年第05期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T05T16111\u002F)\n3.   [数字乡村建设如何驱动宜居宜业和美乡村发展?](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n\n# 现代财经(天津财经大学学报)2026年第05期：数字乡村建设如何驱动宜居宜业和美乡村发展?\n\n来源：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)时间： 2026年8月24日 星期一\n\n* * *\n\n作者：杨璐璐;盖延凯;赵晶晶;\n\n单位：中国矿业大学(北京)共同富裕研究院;中国矿业大学(北京)文法学院;\n\n**摘要：**数字乡村是乡村振兴的战略方向，也是推进宜居宜业和美乡村建设的必由之路。本文聚焦数字乡村建设如何驱动宜居宜业和美乡村发展这一核心问题，基于2013—2022年中国省级面板数据，构建数字生态系统理论视角下“四维要素—三元互动”整合模型，并用工具变量与动态面板模型应对内生性问题，从协同演化视角分析数字乡村建设推动宜居宜业和美乡村发展的内在机制。研究发现，数字乡村建设及其各维度对和美乡村发展具有显著促进效应且结论稳健，乡村建设四维要素相互协同形成系统合力是关键。机制检验发现，乡村建设驱动绿色技术创新与农业产业集聚形成链式传导机制，驱动数字治理水平形成正向调节机制。具体而言，数字资金投入通过技术路径发挥作用，数字基础设施通过产业路径发挥作用，数字产业与服务则通过治理调节下的“技术—产业”传导路径发挥作用。异质性检验发现，上述路径在西部地区表现尤为突出。研究结论为构建数字乡村协同共生发展模式，并建立因地制宜、分类推进的差异化发展机制，提供了理论依据与实践路径。\n\n**关键词：**数字乡村;;和美乡村;;链式中介效应;;协同演化\n\n**基金资助：**北京市社会科学基金重点项目(青年学术带头人项目)(24DTR033)\n\n##### 该杂志刊期列表\n\n2026年[06期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T06T16111\u002F)[05期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T05T16111\u002F)[04期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T04T16111\u002F)[03期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T03T16111\u002F)[02期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T02T16111\u002F)[01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T01T16111\u002F)2025年[12期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T12T16111\u002F)[11期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T11T16111\u002F)[10期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T10T16111\u002F)[09期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T09T16111\u002F)[08期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T08T16111\u002F)[07期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T07T16111\u002F)[06期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T06T16111\u002F)[05期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T05T16111\u002F)[04期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T04T16111\u002F)[03期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T03T16111\u002F)[02期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T02T16111\u002F)[01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T01T16111\u002F)\n\n##### 2026年第05期\n\n*   [“科技普惠”还是“数字排斥”:商业银行数字化转型对家庭金融健康的影响研究](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157807.html)\n*   [家庭债务对收入流动性的抑制效应：机制检验与债务阈值](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157808.html)\n*   [新《证券法》实施提高了投资者保护水平吗?](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157809.html)\n*   [数字乡村建设如何驱动宜居宜业和美乡村发展?](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157810.html)\n*   [智能化冲击如何塑造全球价值链韧性?——从“负能”到“赋能”的双重效应](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157811.html)\n*   [灵活就业人员基本养老保险扩面的两难抉择：个体经济性与制度公平性](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157812.html)\n*   [跨境电商与企业供应链风险——兼论供应链传导效应](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F157813.html)\n\n*   [![Image 7: 现代财经(天津财经大学学报)](http:\u002F\u002Fwww.qikanvip.com\u002Fstatic\u002Fhexin\u002Fxcxb.jpg)现代财经(天津财经大学学报)北大核心 CSSCI AMI核心 ISSN：1005-1007 CN：12-1387\u002FF 出版地：天津市 主办单位：天津财经大学 主管单位：教育部 复合影响因子：7.572 综合影响因子：4.447 创刊时间：1981年 期刊官网：https:\u002F\u002Fxcxb.cbpt.cnki.net 主编：蔡双立 出版周期：月刊](http:\u002F\u002Fxcxb.qikanvip.com\u002F \"现代财经(天津财经大学学报)\")\n\n期刊VIP网专注学术论文咨询指导、国外出版指导、国内出版指导，提供全方位专业服务，论文指导服务涵盖SCI、SSCI、EI、SCOPUS，论文指导服务内容包括翻译、润色、预审，期刊指导服务内容包括期刊推荐、发表支持。您可以与学术顾问沟通，介绍自己的学术需求，制定专属学术服务方案。\n\n* * *\n\nwww.qikanvip.com版权所有 仿冒必究 投诉邮箱：qianyanns@163.com [京ICP备17075097号-4](http:\u002F\u002Fbeian.miit.gov.cn\u002F \"工信部备案系统\")\n\n**快至2个月出刊 学科专业**\n\n#### [方向：体育、教育 ##### 了解适投期刊 #### 方向：就业、人力资源 ##### 了解适投期刊 #### 方向：法律、财务、经济 ##### 了解适投期刊 #### 方向：人才培养、企业管理 ##### 了解适投期刊 #### 方向：计算机、机械、电力 ##### 了解适投期刊 #### 方向：化工、医药化工 ##### 了解适投期刊 #### 方向：物流、环保、汽车 ##### 了解适投期刊 #### 方向：知识产权、营销 ##### 了解适投期刊 #### 方向：舞蹈、绘画、雕塑、美术 ##### 了解适投期刊 #### 方向：艺术设计、视觉设计、创意设计 ##### 了解适投期刊 #### 方向：广告、创意设计 ##### 了解适投期刊 #### 方向：室内设计、装饰设计 ##### 了解适投期刊 #### 方向：文创设计、平面设计 ##### 了解适投期刊 #### 方向：包装设计、装帧设计 ##### 了解适投期刊 #### 方向：新媒体、家具、陶瓷、旅游 ##### 了解适投期刊 #### 方向：非遗、戏剧、服装、书法 ##### 了解适投期刊](javascript:void(0))\n\n[站长统计](https:\u002F\u002Fwww.cnzz.com\u002Fstat\u002Fwebsite.php?web_id=1255393057 \"站长统计\")\n\n[理工科核心资源库](http:\u002F\u002Fwww.qikanvip.com\u002Fhot.html)","现代财经（天津财经大学学报）2026年第5期",76,{"impact":18,"substance":74,"depth":17,"authority":75,"freshness":179,"relevant":21,"comment":180},2,"基于省级面板数据的实证研究，为数字乡村建设提供理论框架与政策参考，但时效性较低。",[182],{"name":176,"url":173},[29,30,184,185,186,187],"和美乡村","宜居宜业","链式中介","协同演化",{"code":43,"slug":189,"name":190,"path":191,"parent_code":192},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":139,"locked":14,"version":38,"method":39,"evidence":195},{"candidates":196,"agricultural_evidence":45},[197],{"code":43,"score":44,"supported":45,"title":198,"abstract":199,"tags":200},[29],[29],[29],[202,203],"协同演化 和美乡村 宜居宜业 数字乡村","协同演化 和美乡村","协同演化和美乡村宜居宜业数字乡村-910","2026-08-24T00:06:13.298942Z",{"id":207,"title":208,"url":209,"summary":210,"summary_zh":8,"content":211,"source_name":212,"source_url":8,"published_at":213,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":214,"score_detail":215,"sources":217,"tags":219,"primary_topic":223,"secondary_topics":224,"classification":225,"search_phrases":242,"slug":245,"view_count":123,"doi":8,"paper":8,"created_at":246},198,"以数促质:数字乡村建设赋能农业新质生产力的影响研究","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009","利用中国2013-2023年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验。研究发现:数字乡村建设显著促进农业新质生产力发展;通过推动数字普惠金融发展和促进农业技术进步两个中介渠道发挥作用;在中西部地区数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高地区通过提升数字普惠金融水平、在农业产业链延伸水平较高地区通过促使农业技术进步,机制作用更显著。研究为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供理论与实证支撑。","检测到您正在使用 Safari 浏览器，可能影响导出功能的正常使用，建议您下载 [Google Chrome](https:\u002F\u002Fwww.google.cn\u002Fintl\u002Fzh-CN\u002Fchrome\u002F)、 [Microsoft Edge](https:\u002F\u002Fwww.microsoft.com\u002Fzh-cn\u002Fedge)、 [Firefox](https:\u002F\u002Fwww.firefox.com.cn\u002F)。 X\n\n[![Image 3](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Fwww\u002Ffile\u002Flogo\u002F.png?v=2&default=logo\u002Fdefault.svg)](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Findex.html?index=true)\n\n学术导航\n\n*   [学术期刊](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fperiodical)[学位论文](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fthesis)[会议论文](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fconference)[科技报告](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fnstr)[专利](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fpatent)[标准](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fstandard)[科技成果](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fcstad)[法律法规](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fclaw)\n\n[智研平台](https:\u002F\u002Fzhiyan.wanfangdata.com.cn\u002F)[会员](https:\u002F\u002Fsvip.wanfangdata.com.cn\u002F?wfchannel=headerNavigation)\n\n![Image 4](https:\u002F\u002Fipv6.wanfangdata.com.cn\u002Fv6\u002Fip\u002Finfo)\n\n[](https:\u002F\u002Fmy.wanfangdata.com.cn\u002Fuser\u002Fpersonal\u002Findex)\n\n绑定机构 \n\n![Image 5](https:\u002F\u002Fcdn.login.wanfangdata.com.cn\u002FContent\u002Fsrc\u002Fimg\u002Fanxs-loding-wx.gif)\n\n![Image 6](https:\u002F\u002Fcdn.login.wanfangdata.com.cn\u002FContent\u002Fimages\u002Fbind_right_icon.png)扫描成功 请在APP上操作\n\n 打开万方数据APP，点击右上角\"扫一扫\"，扫描二维码即可将您登录的个人账号与机构账号绑定，绑定后您可在APP上享有机构权限，如需更换机构账号，可到个人中心解绑。 \n\n[登录机构账号](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[登录 \u002F 注册](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[登录 \u002F 注册](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[机构登录](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fmy.wanfangdata.com.cn\u002Fusercenter\u002F)[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n复制成功\n\n![Image 7](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fmy.wanfangdata.com.cn\u002Fusercenter\u002Fmessage)[设置](https:\u002F\u002Fmy.wanfangdata.com.cn\u002Fusercenter\u002FaccountInfo)\n\n![Image 8](blob:http:\u002F\u002Flocalhost\u002F9f9c318b4ac5df73fe3ae9adb96756ba)万方会员\n\n暂未开通会员\n\n开通即享超值福利、会员权益\n\n优质内容推荐\n\n[立即开通](https:\u002F\u002Fsvip.wanfangdata.com.cn\u002F?wfchannel=headerNavigation)\n\n[个人中心](https:\u002F\u002Fmy.wanfangdata.com.cn\u002Fusercenter\u002F)[我的智研](https:\u002F\u002Fzhiyan.wanfangdata.com.cn\u002F)[订阅](https:\u002F\u002Fzhiyan.wanfangdata.com.cn\u002Fsubscribe)[收藏](https:\u002F\u002Fzhiyan.wanfangdata.com.cn\u002Fcollect)\n\n[退出登录](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n简 繁\n\n搜索\n\n[首页](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Findex.html?index=true)>[期刊导航](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fperiodical)>[东南大学学报（哲学社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh)>[2026年3期](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh?tabId=article&publishYear=2026&issueNum=3)> 以\"数\"促\"质\":数字乡村建设赋能农业新质生产力的影响研究 \n\n DOI: [10.3969\u002Fj.issn.1671-511X.2026.03.009](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n以\"数\"促\"质\":数字乡村建设赋能农业新质生产力的影响研究\n\n 文摘阅读 60\n\n 下载 1\n\n 导出题录 0\n\n 被引 0\n\n[张建平 1](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[蔡嘉慧 2](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[许润达 3](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n1.[江苏第二师范学院 商学院,江苏 南京 211200](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)2.[吉林大学 东北亚学院,吉林 长春 130012](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)3.[南京大学 商学院,江苏 南京 210023](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_dndxxb-zxsh202603009.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：利用中国2013-2023 年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验,研究发现:(1)数字乡村建设显著促进农业新质生产力发展.(2)数字乡村建设通过推动数字普惠金融发展和促进农业技术进步来发展农业新质生产力.(3)在中西部地区,数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高的地区,数字乡村建设通过提升数字普惠金融水平推动农业新质生产力发展;在农业产业链延伸水平较高的地区,数字乡村建设通过促使农业技术进步推动农业新质生产力发展.研究结论为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供了有力的理论逻...\n\n关键词：\n\n[数字乡村建设](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业新质生产力](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[数字普惠金融](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业技术进步](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n机标分类号：\n\nF306(农业经济理论)F832.35(金融、银行)TH161(机械制造工艺)\n\n资助基金：\n\n[中国博士后科学基金](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E4%B8%AD%E5%9B%BD%E5%8D%9A%E5%A3%AB%E5%90%8E%E7%A7%91%E5%AD%A6%E5%9F%BA%E9%87%91) ( 2025M771829 ) [江苏省软科学研究项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E8%BD%AF%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E9%A1%B9%E7%9B%AE) ( BR2025025 ) [江苏省社会科学基金青年项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E7%A4%BE%E4%BC%9A%E7%A7%91%E5%AD%A6%E5%9F%BA%E9%87%91%E9%9D%92%E5%B9%B4%E9%A1%B9%E7%9B%AE) ( 24MLC004 ) [江苏省高校社科联发展专项课题](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E9%AB%98%E6%A0%A1%E7%A4%BE%E7%A7%91%E8%81%94%E5%8F%91%E5%B1%95%E4%B8%93%E9%A1%B9%E8%AF%BE%E9%A2%98) ( 25GSB-039 ) \n\n文献发表日期：\n\n 2026-05-20 \n\n在线出版日期：\n\n 2026-07-06 （万方平台首次上网日期，不代表文献的发表时间）\n\n页数：\n\n11 ( 78-88 )\n\n英文信息\n\n![Image 9](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fdndxxb-zxsh\u002Fdndxxb-zxsh.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[东南大学学报（哲学社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh)\n\n CSTPCD  北大核心  CSSCI  AMI \n\nISSN：1671-511X \n\n年,卷(期)：[2026,28(3)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh?tabId=article&publishYear=2026&issueNum=3)\n\n所属栏目：[经济决策与企业管理](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh\u002F?tabId=column&yearType=all&ztext=%E7%BB%8F%E6%B5%8E%E5%86%B3%E7%AD%96%E4%B8%8E%E4%BC%81%E4%B8%9A%E7%AE%A1%E7%90%86 \"经济决策与企业管理\")\n\n相关文献  换一换\n\n1.[农业数字化赋能农业新质生产力的效应研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fhnkx202601020 \"农业数字化赋能农业新质生产力的效应研究\")[夏静怡](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E5%A4%8F%E9%9D%99%E6%80%A1%22 \"夏静怡\") 等; [河南科学](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fhnkx \"河南科学\");2026\n\n2.[数字经济对农业新质生产力的影响研究——基于我国31个省域面板数据的实证分析](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fhljdwjm202601016 \"数字经济对农业新质生产力的影响研究——基于我国31个省域面板数据的实证分析\")[张澳华](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E5%BC%A0%E6%BE%B3%E5%8D%8E%22 \"张澳华\") 等; [对外经贸](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fhljdwjm \"对外经贸\");2026\n\n3.[数字新质生产力对农业高质量发展的影响研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fzgnjh202602045 \"数字新质生产力对农业高质量发展的影响研究\")[丁宝根](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E4%B8%81%E5%AE%9D%E6%A0%B9%22 \"丁宝根\") 等; [中国农机化学报](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fzgnjh \"中国农机化学报\");2026\n\n4.[数字乡村建设对农业新质生产力的影响效应与作用机制](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Ftjyjc202601005 \"数字乡村建设对农业新质生产力的影响效应与作用机制\")[杜一鸣](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E6%9D%9C%E4%B8%80%E9%B8%A3%22 \"杜一鸣\") 等; [统计与决策](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Ftjyjc \"统计与决策\");2026\n\n5.[数字经济赋能农业新质生产力的作用机制研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Flynxyxb-shkx202601003 \"数字经济赋能农业新质生产力的作用机制研究\")[祁安安](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E7%A5%81%E5%AE%89%E5%AE%89%22 \"祁安安\") 等; [青岛农业大学学报（社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Flynxyxb-shkx \"青岛农业大学学报（社会科学版）\");2026\n\n[![Image 10](https:\u002F\u002Fop.wanfangdata.com.cn\u002Fwf\u002Fimage?s=MDbaIEDtM_BVA-rRXb-doVcOr5j-leatNW8s1utXG_Q&u=2eceaf31ef1b453f86f47df9eb0bc79a-30083&p=\u002Fwww\u002Ffile\u002Fstatic\u002Fop\u002Fdetail\u002F2026\u002F01\u002F320a380ae7c4477aaa98fe2ff11348f9.jpg&time=1785806173302&so=detail&l=true)](https:\u002F\u002Fop.wanfangdata.com.cn\u002Fwf\u002Fdetail?s=Wko23HKrHSSCFD11Oapszb-zUAxidO9dHStVBq7XBsU&u=2eceaf31ef1b453f86f47df9eb0bc79a-30083&r=https%3A%2F%2Fsvip.wanfangdata.com.cn%2F&l=true&time=1785806173302&so=detail)\n\n相关主题\n\n[农业数字化](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"农业数字化\")[农业新质生产...](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"农业新质生产力\")[门槛效应](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"门槛效应\")[区域异质性](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"区域异质性\")[新质生产力](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"新质生产力\")[高质量发展](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"高质量发展\")\n\n相关学者\n\n[罗建文](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"罗建文\")[湖南科技大学](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"湖南科技大学\")\n\n[金绍荣](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"金绍荣\")[西南大学](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"西南大学\")\n\n[张谋贵](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"张谋贵\")[安徽省社会科学院城乡经济研究所](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"安徽省社会科学院城乡经济研究所\")\n\n[李盛竹](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"李盛竹\")[重庆邮电大学](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"重庆邮电大学\")\n\n[宋跃刚](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"宋跃刚\")[河南师范大学](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"河南师范大学\")\n\n相关机构\n\n[河南农业大学](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"河南农业大学\")\n\n[郑州航空工业管理学院](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"郑州航空工业管理学院\")\n\n[华北理工大学轻工学院](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"华北理工大学轻工学院\")\n\n[中共重庆市南川区委](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"中共重庆市南川区委\")\n\n[中国农村杂志社](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009 \"中国农村杂志社\")\n\n[帮助](https:\u002F\u002Fwww.wanfangdata.com.cn\u002FHelp)[客户服务](https:\u002F\u002Fwww.wanfangdata.com.cn\u002FCustomer)[问卷调查](https:\u002F\u002Fwww.wjx.top\u002Fjq\u002F23244564.aspx)[关于我们](https:\u002F\u002Fwww.wanfangdata.com.cn\u002FAbout)[公司首页](http:\u002F\u002Fwww.wanfang.com.cn\u002F)[加入我们](https:\u002F\u002Fwanfangdata1.zhiye.com\u002F)[网站地图](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Fsitemap)[官方店铺](https:\u002F\u002Flogin.wanfangdata.com.cn\u002Fnotice\u002Fshop)\n\n![Image 11](https:\u002F\u002Fcdn.wanfangdata.com.cn\u002Fpicture\u002Fwb.svg)\n\n[万方数据微博](https:\u002F\u002Fweibo.com\u002Fwanfangdata)\n\n![Image 12](https:\u002F\u002Fcdn.wanfangdata.com.cn\u002Fpicture\u002Fwx.svg)\n\n[万方数据公众号](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[网络出版服务许可证：(署)网出证(京)字第072号](https:\u002F\u002Fad.wanfangdata.com.cn\u002Fimages\u002Fhlwcb.jpg)\n\n[药品医疗器械网络信息服务备案：(京)网药械信息备字（2023）第 00470 号](https:\u002F\u002Fad.wanfangdata.com.cn\u002Fimages\u002Fzhengshu_2.jpg)\n\n[信息网络传播视听节目许可证 许可证号：0108284](https:\u002F\u002Fad.wanfangdata.com.cn\u002Fimages\u002Fstjmxkz3.jpg)\n\n万方数据知识服务平台--国家科技支撑计划资助项目（编号：2006BAH03B01）\n\n[万方数据学术资源发现获取服务系统[简称：万方智搜] V3.0 证书号：软著登字第11363462号](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Fwww\u002Ffile\u002Fwfdatazs.pdf)\n\n[京ICP证：010071](https:\u002F\u002Fad.wanfangdata.com.cn\u002Fimages\u002Ficp.jpg)\n\n[营业执照](https:\u002F\u002Fad.wanfangdata.com.cn\u002Fimages\u002Fyyzz.png)\n\n[京公网安备11010802020237号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010802020237)\n\n[京ICP备08100800号-1](https:\u002F\u002Fbeian.miit.gov.cn\u002F)\n\n©北京万方数据股份有限公司 万方数据电子出版社\n\n![Image 13](https:\u002F\u002Fcdn.wanfangdata.com.cn\u002Fimages\u002Ffooter\u002Fservice.svg)**在线客服**\n\n*   ![Image 14](https:\u002F\u002Fcdn.wanfangdata.com.cn\u002Fimages\u002Ffooter\u002Fservice_call.svg)**客服电话：4000115888** \n*   ![Image 15](https:\u002F\u002Fcdn.wanfangdata.com.cn\u002Fimages\u002Ffooter\u002Fservice_mail.svg)**[客服邮箱：service@wanfangdata.com.cn](mailto:service@wanfangdata.com.cn)** \n*   违法和不良信息举报电话：4000115888\n*   举报邮箱：problem@wanfangdata.com.cn\n*   [举报专区：https:\u002F\u002Fwww.12377.cn\u002F](https:\u002F\u002Fwww.12377.cn\u002F)![Image 16](https:\u002F\u002Fipv6.wanfangdata.com.cn\u002Fv6\u002F)\n\n x \n\n[回到 顶部](javascript:void(0);)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n分享到微信朋友圈\n\n打开微信，点击底部的“发现”，使用 “扫一扫” 即可将网页分享到我的朋友圈\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)","东南大学学报(哲学社会科学版) 2026年第3期 2026-07-06上网","2026-07-06T00:00:00Z",71,{"impact":17,"substance":18,"depth":17,"authority":123,"freshness":179,"relevant":21,"comment":216},"核心期刊论文，基于省级面板数据实证分析数字乡村建设对农业新质生产力的影响，数据详实、结论可靠，但发表时间较早，时效性低。",[218],{"name":212,"url":209},[29,220,221,30,222],"农业新质生产力","中介效应","数字普惠金融",{"code":43,"slug":189,"name":190,"path":191,"parent_code":192},[],{"status":139,"locked":14,"version":38,"method":39,"evidence":226},{"candidates":227,"agricultural_evidence":45},[228,232,238],{"code":43,"score":44,"supported":45,"title":229,"abstract":230,"tags":231},[29],[29],[29],{"code":233,"score":51,"supported":45,"title":234,"abstract":235,"tags":237},"G3",[],[236],"财政支农",[222],{"code":143,"score":21,"supported":14,"title":239,"abstract":240,"tags":241},[],[],[220],[243,244],"农业新质生产力 数字普惠金融 中介效应 数字乡村","农业新质生产力 数字普惠金融","农业新质生产力数字普惠金融中介效应数字乡村-198","2026-08-04T01:15:47.409908Z",{"id":248,"title":249,"url":250,"summary":251,"summary_zh":8,"content":252,"source_name":253,"source_url":8,"published_at":254,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":255,"score_detail":256,"sources":258,"tags":260,"primary_topic":264,"secondary_topics":265,"classification":272,"search_phrases":293,"slug":296,"view_count":297,"doi":8,"paper":8,"created_at":298},197,"Digital Village Development and Agricultural Carbon Reduction in China: Evidence from Provincial Panel Data(中国数字乡村发展与农业碳减排:来自省级面板数据的证据)","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482","基于2014-2023年中国30个省份平衡面板数据,文章考察了数字乡村发展与农业投入品相关碳排放的关系。研究构建了由8个标准化指标组成的复合数字乡村指数,采用双向固定效应模型进行实证估计。结果显示,在控制经济、财政、技术、监管等多重因素后,数字乡村发展与农业碳排放显著负相关,使用农村电商代理变量和替代性指标检验后结论依然稳健。异质性分析表明,在农村受教育水平较高、中部地区及粮食主产区,负相关关系更强。研究认为数字乡村建设能够支撑农业低碳转型,前提是数字基础设施转化为有效的产业应用、公共服务、人力资本开发和生产组织改善。","## 1. Introduction\n\nClimate change, ecological degradation, and the continued growth of greenhouse gas (GHG) emissions continue to place considerable pressure on global sustainable development. Carbon mitigation is not only an environmental issue but also a strategic development goal for China. The country has announced that before 2030, it will reach peak carbon dioxide emissions, and before 2060, it will become carbon neutral [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B1-sustainability-18-07482)]. While emissions from sectors based primarily on CO 2 combustion from fossil fuels are different from agricultural emissions, this means that achieving national climate targets will not be possible without mitigation measures in all parts of the economy, not just in heavy industry, power generation and transport [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B2-sustainability-18-07482)]. It is, hence, essential for policies concerning agricultural and rural progress to be incorporated into the holistic framework of climate governance in China.\n\nWhen compared with manufacturing, electricity generation, transportation or construction, agriculture is sometimes considered a relatively low-carbon industry. However, this perception might not consider the significant carbon footprint of today’s food production. The current agricultural system relies on chemical fertilisers, pesticides, plastic mulch, machinery powered by diesel, and irrigation and tillage systems. These inputs and practices are sources of emissions during their manufacture and distribution and also during their use on-farm; they are significant contributors to agricultural carbon emissions [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482)]. Fossil energy is also required during irrigation and land management operations, which can also have an impact on the soil carbon cycle and consequently increase the climate change footprint of agriculture [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B4-sustainability-18-07482)]. The spatial distribution of agricultural emissions in China is uneven, and high emissions are frequently found in the north. This trend is due to variations in natural resource endowments, crop composition, production technologies, intensities of production inputs, and local policies [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482)]. Earlier empirical studies have also revealed that the performance of emissions varies widely across regions, suggesting that mitigating policies should be flexible and locally tailored instead of managed at the national level [[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B6-sustainability-18-07482)]. Technological progress and the change of the organisation of agricultural production have been important means of achieving a low-carbon transition in agriculture in this context [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)].\n\nRural economies are changing in the context of digitalisation all over the world. The collection, transfer, interpretation and utilisation of agricultural information is transforming through big data analysis, Internet of Things (IoT) equipment, mobile communication networks, remote sensing technologies, cloud-based platforms, and digital service systems. Evidence from the international literature shows that data-intensive farming can lead to better resource allocation and a reduction in the waste of resources [[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B8-sustainability-18-07482)]. Smart farming systems can help to better manage water, fertilisers, pesticides and machinery [[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B9-sustainability-18-07482)]. However, rural digital transformation is not merely the introduction of new equipment into agricultural production. It also transforms agricultural extension, institutions at the local level, market linkages, farmers’ behaviour in managing business, and the linkages among farmers, service providers, firms and consumers [[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B10-sustainability-18-07482)].\n\nThe impacts of digital agriculture are quite varied at the national and regional levels. In many high-income countries, sensor-based systems, IoT applications and automated control technologies have been adopted for large-scale commercial farming. In these situations, digital solutions have shown the potential to optimise input usage and create tangible gains in emissions reductions [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B11-sustainability-18-07482)]. On the other hand, there is still a significant gap in agriculture mechanisation, according to data from many low- and middle-income economies. Digitalisation is limited by weak rural infrastructure, fragmented farms, limited financial access and a lack of technical support to achieve environmental gains [[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B12-sustainability-18-07482)]. Such disparities reveal that the climatic effects brought by digital farming hinge on plot scale, institutional arrangement, human capital stock and matched service infrastructures. The digital village strategy in China has emerged in an agricultural landscape dominated by smallholders. It is not the “smart-farm” model that has been adopted by many advanced economies, nor is it the more nascent digital agriculture model in many low-income economies. It, thus, serves as a valuable case study to explore the linkages between rural digitalisation and agricultural carbon mitigation in the context of a developing country.\n\nIn China, digital village development is not limited to access to the internet or the construction of hardware. It is a holistic rural transformation approach integrating digital infrastructure, digital industry, public services, financial inclusion, logistics systems and e-governance. According to comparisons among different provinces, it is known that the development of the digital village is still in an imbalanced state in China [[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B13-sustainability-18-07482)]. Recent evaluation studies also indicate a close relationship between digital rural development results and rural revitalisation outcomes and governance capacity [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B14-sustainability-18-07482)]. The advancement of the rural digital economy has further facilitated industrial upgrading and the restructuring of local production and organisational patterns [[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B15-sustainability-18-07482)]. Digital platforms have made the farmers’ market more accessible, brought agricultural products into circulation faster and have helped rural household income and welfare [[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B16-sustainability-18-07482)].\n\nHowever, the environmental implications of digital village development remain insufficiently understood. From a macro perspective, the digital economy promotes green total factor productivity through three channels: knowledge spillover, optimised resource allocation and industrial structure transformation [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482)]. In China, internet development has impacted energy consumption in three ways: energy use efficiency, the nature of energy consumption, and industrial transformation [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B18-sustainability-18-07482)]. International evidence also suggests that digitalisation can contribute to energy transition, but the impact is contingent on the quality of local governance and institutional capacity [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B19-sustainability-18-07482)]. Based on the empirical studies conducted in China, energy intensity and emissions may be reduced by digitalisation if the conditions are suitable [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482)]. Digitalisation in agriculture has the potential to lower carbon intensity through structural change and technological innovation [[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482)]. Digital village development can also enhance information flow and the land use of cultivated lands, which can help greener land use transformation [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. There is recent research evidence that digitalisation in the countryside can enhance the green performance of agricultural production; however, direct evidence on input-related agricultural carbon emissions remains limited [[23](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B23-sustainability-18-07482)].\n\nInternational studies have highlighted the importance of institutional arrangements and rural human capital in determining the potential of turning digital tools into low-carbon farming practices [[24](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B24-sustainability-18-07482),[25](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B25-sustainability-18-07482)]. Many developing economies are confronted with two pressures: on the one hand, rural digitalisation remains underdeveloped, while on the other hand, agricultural production relies on carbon-intensive inputs. The lessons learned from China suggest that digitalisation can contribute to emission reduction and green transition if it is integrated into relevant policy systems, service systems, and production systems; thus, the country is able to offer empirical references for nations confronting similar development challenges [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[26](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B26-sustainability-18-07482)].\n\nDespite growing interest in the environmental consequences of digitalisation, several gaps remain. First, much of the existing literature examines the general digital economy, urban digitalisation, or isolated digital–agricultural technologies, while fewer studies focus on digital village development as a multidimensional rural transformation process that integrates infrastructure, industrial applications, public services, digital finance, logistics, and rural e-commerce. Second, agricultural carbon emissions from the input side and the field-operation side have been less directly discussed in many studies, while agricultural green total factor productivity, carbon intensity, and pollution indicators are used as outcome variables. Third, there is scarce evidence regarding the circumstances in which digital village development is more strongly connected to agricultural carbon mitigation, including its relationship to rural education, the region in which it is implemented, grain-functional areas, and mechanisation. Fourth, there is a need for increased transparency in the construction of the composite digital village indicators, including indicator selection, PCA loadings, and the contribution of various digital dimensions.\n\nThe following question guides this study: is digital village development associated with lower agricultural carbon emissions across China? A multidimensional digital village development index is constructed from eight standardised indicators to answer this question. PCA diagnostics and a PCA-based alternative index are further used to examine the validity and sensitivity of the index construction. To estimate the relationship between digital village development and agricultural carbon emissions, this study utilises balanced panel datasets covering 30 provincial regions from 2014 to 2023. Empirical analysis consists of two-way fixed-effects models, multiple robustness tests, heterogeneity analysis, and an additional instrumental-variable exercise (reported in the [Appendix A](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#app1-sustainability-18-07482)) and exploratory subgroup analysis with regard to potential mechanisms.\n\nThis study contributes to the literature in three ways. First, it links digital village development with agricultural climate governance by examining input-related agricultural carbon emissions rather than only rural income, industrial upgrading, or agricultural green total factor productivity. Unlike recent prefecture-level or county-level studies that usually focus on the rural digital economy or agricultural green productivity, this study treats the digital village as a multidimensional policy and development framework and directly examines input-related agricultural carbon emissions. Second, it constructs a multidimensional digital village index from eight standardised indicators and reports additional PCA diagnostics, including component loadings, variance contribution, and the KMO statistic. It also uses a recomputed PCA-based index as a sensitivity check, thereby improving the transparency and reproducibility of index construction. Third, it examines heterogeneous associations across rural education levels, regions, grain-functional areas, and mechanisation conditions and provides mechanism-related evidence based on different agricultural carbon-emission sources.\n\nChina’s digital village strategy has a distinctive institutional context. It has developed in a smallholder-dominated agricultural system but is supported by national rural revitalisation policies, public investment in digital infrastructure, the rapid expansion of rural e-commerce, digital inclusive finance, and logistics networks. This differs from the capital-intensive smart-farming model in many high-income economies and from more fragmented digital–agriculture initiatives in some low-income economies. Therefore, the findings should not be interpreted as mechanically generalisable to all countries. Rather, they provide analytical evidence for developing economies seeking to combine rural digital inclusion, agricultural modernisation, and low-carbon transition under smallholder conditions.\n\nThe remainder of this paper is organised as follows. [Section 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec2-sustainability-18-07482) reviews the related literature. [Section 3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec3-sustainability-18-07482) develops the theoretical framework and research hypotheses. [Section 4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec4-sustainability-18-07482) describes the data, variables, and empirical models. [Section 5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec5-sustainability-18-07482) presents the empirical results. [Section 6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec6-sustainability-18-07482) discusses the findings. [Section 7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec7-sustainability-18-07482) concludes the paper and provides policy implications.\n\n## 2. Literature Review\n\n### 2.1. Digital Village Development and Rural Transformation\n\nDigital village development is a comprehensive process of rural transformation which involves the connectivity of infrastructure, digital industrial activities, service delivery and the modernisation of governance. Digital tools improve agricultural production efficiency through real-time data gathering, remote farm supervision, precision agricultural management and data-driven decision-making [[27](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B27-sustainability-18-07482)]. A special characteristic of digitalisation in the rural areas of China is the fast development of rural e-business, especially the growth of the ‘Taobao villages’ linked to big online platforms [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482)]. These new rural economic models are examples of the way that digital marketplaces can connect geographically dispersed producers with national consumer markets and encourage local entrepreneurship [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482),[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. Advancement in the development of digital villages helps bridge the income gap between urban and rural residents. It enables rural populations to gain easier access to information, employment opportunities, financial services, logistics systems and public service facilities [[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. New evidence from the provinces shows that digital village development can also help to foster agricultural green growth [[30](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B30-sustainability-18-07482)].\n\nThe majority of studies published so far agree that digital village development can bring about economic and social benefits and that the impact on the environment is more complex [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. Increased digital infrastructure can, on the one hand, lead to a higher electricity demand and a higher use of digital equipment in rural areas. Conversely, there are applications in the fields of precision agriculture, rural logistics, e-commerce and extension that could help to decrease the overuse of agricultural inputs, enhance coordination and lower agricultural carbon emissions [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)].\n\nThe environmental impact overall will hinge on how the implementation of digital infrastructure is followed by productive applications and service innovations that impact decisions in agricultural production. International experiences demonstrate that digitalisation in rural areas can take several forms in different countries. In the high-income context of Western Europe, digital technologies are frequently used in large mechanised agriculture, but their use is still dependent on the social, political and institutional situation in rural communities [[31](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B31-sustainability-18-07482)]. In many of the settings in which digital benefits are explored in developing contexts, these services are also critical, including mobile money, input markets, extension networks, and reliable infrastructure. Smallholder dominance might also constrain the environmental benefits of applications of digital technology, unless service systems can be developed to address scale constraints [[32](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B32-sustainability-18-07482)]. These differences indicate that the size of the farm, institutional conditions and service capacity play a key role in whether or not rural digitalisation can make a positive contribution to carbon reduction.\n\n### 2.2. Agricultural Carbon Emissions: Measurement, Drivers, and Mitigation\n\nIn the agricultural carbon-accounting literature in China, emissions are often estimated based on the inputs and field operations of agricultural production processes [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482),[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482),[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)]. The use of chemical fertilisers, pesticides and plastic mulch films continues to be a significant source of the carbon footprint of Chinese agriculture [[33](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B33-sustainability-18-07482)]. Other practices such as diesel, irrigation and tillage are also important because they are closely related to energy use and field management. Agricultural emissions of carbon are highly location- and time-dependent and are influenced by land resources, planting systems, mechanisation, environmental policies and input levels [[34](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B34-sustainability-18-07482)].\n\nDigitalisation has increasingly been regarded as a potential pathway for greener agricultural development. Digital technologies offer the potential to better allocate reso","Sustainability 18(14):7482 2026-07-22","2026-07-22T00:00:00Z",74,{"impact":18,"substance":74,"depth":17,"authority":44,"freshness":179,"relevant":21,"comment":257},"基于省级面板数据实证研究数字乡村对农业碳减排的影响，方法严谨，结论具有政策参考价值，但发表于近两周前，时效性较低。",[259],{"name":253,"url":250},[29,261,30,262,263],"农业碳减排","双向固定效应","可持续发展",{"code":43,"slug":189,"name":190,"path":191,"parent_code":192},[266],{"code":267,"slug":268,"name":269,"path":270,"parent_code":271},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":139,"locked":14,"version":38,"method":39,"evidence":273},{"candidates":274,"agricultural_evidence":45},[275,280,286],{"code":43,"score":18,"supported":45,"title":276,"abstract":278,"tags":279},[29,277],"digital village",[29],[29],{"code":267,"score":19,"supported":45,"title":281,"abstract":283,"tags":285},[282],"农业碳",[284,282],"碳排放",[261],{"code":287,"score":288,"supported":45,"title":289,"abstract":290,"tags":292},"E5",3,[],[291],"农村电商",[],[294,295],"双向固定效应 农业碳减排 可持续发展 数字乡村","双向固定效应 农业碳减排","双向固定效应农业碳减排可持续发展数字乡村-197",8,"2026-08-04T01:15:47.389860Z",{"id":300,"title":301,"url":302,"summary":303,"summary_zh":304,"content":8,"source_name":305,"source_url":302,"published_at":306,"category":12,"cover_url":8,"hotness":71,"is_selected":14,"score":307,"score_detail":308,"sources":310,"tags":312,"primary_topic":317,"secondary_topics":318,"classification":319,"search_phrases":343,"slug":346,"view_count":101,"doi":347,"paper":348,"created_at":365},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":17,"substance":74,"depth":17,"authority":123,"freshness":124,"relevant":21,"comment":309},"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。",[311],{"name":305,"url":302},[29,313,314,315,316],"数字素养","共同富裕","农民收入","收入不平等",{"code":43,"slug":189,"name":190,"path":191,"parent_code":192},[],{"status":139,"locked":14,"version":38,"method":39,"evidence":320},{"candidates":321,"agricultural_evidence":45},[322,326,333,338],{"code":43,"score":297,"supported":45,"title":323,"abstract":324,"tags":325},[],[29,277],[29,313],{"code":327,"score":62,"supported":45,"title":328,"abstract":329,"tags":332},"G6",[],[330,331],"农户收入","rural income",[],{"code":136,"score":288,"supported":45,"title":334,"abstract":335,"tags":337},[],[336],"rural development",[],{"code":339,"score":21,"supported":14,"title":340,"abstract":341,"tags":342},"G4",[],[],[314],[344,345],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":347,"openalex_id":349,"authors":350,"venue":305,"cited_by_count":101,"oa_url":302,"card":359,"direction":109,"ingested_from":364},"W7223105459",[351,354,357],{"name":352,"orcid":353},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":355,"orcid":356},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":358,"orcid":8},"Fangping Cao",{"tldr":360,"method":361,"finding":362,"direction":109,"opportunity":363},"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。","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"]