[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5305":3,"related-5305":65},{"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":23,"tags":25,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":50,"slug":53,"view_count":21,"doi":8,"paper":54,"created_at":64},5305,"Frontiers Sustain. Food Syst.:中国农村土地经营权抵押贷款参与与农业回流迁移——宁夏532户实证","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37553594","Qin, Yu, Li发表论文基于2024年宁夏农村土地经营权抵押贷款(FMRML)实施区532户调查数据,使用完全调整Probit模型发现FMRML参与与农业回流迁移概率呈15.9个百分点显著正相关;机制分析显示参与与家庭劳均经营耕地面积扩大、长期农业生产性资产存量对数增加正相关,二者均与回流迁移正相关;在受训家庭、经营连片地块、户主受教育6年以上家庭中效应更大,无地势和承包面积显著差异。",null,"Frontiers in Sustainable Food Systems(2026, 10)","2026-10-14T00:00:00Z","论文",10,false,75,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},16,22,18,13,6,1,"基于宁夏532户实证，量化土地经营权抵押贷款与农业回流迁移的关联及机制，数据扎实、结论具体，对农村金融与乡村人才回流政策有参考价值，值得进入每日精选。",[24],{"name":9,"url":6},[26,27,28,29,30],"宁夏","农村金融","农户调查","回流迁移","土地经营权抵押",[],{"status":33,"locked":13,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":48,"reason":49},[38,43],{"code":39,"score":21,"supported":13,"title":40,"abstract":41,"tags":42},"G2",[],[],[28],{"code":44,"score":21,"supported":13,"title":45,"abstract":46,"tags":47},"G3",[],[],[27],true,"缺少足够的主题证据",[51,52],"宁夏 土地经营权抵押贷款 回流迁移","农村土地经营权抵押 农户","宁夏土地经营权抵押贷款回流迁移-5305",{"doi":8,"openalex_id":8,"authors":55,"venue":8,"cited_by_count":56,"oa_url":8,"card":57,"direction":61,"ingested_from":63},[],0,{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"基于宁夏532户调查，分析土地经营权抵押贷款参与与农业回流迁移的关系。","完全调整Probit模型，2024年宁夏532户调查数据。","贷款参与使农业回流迁移概率显著提高15.9个百分点，通过扩大经营规模和资产存量起作用。","数字乡村与农业信息化","可延伸研究农村金融政策与劳动力回流、土地流转和农业经营规模的联动机制。","agent","2026-10-19T00:07:48.828091Z",{"total":20,"page":21,"page_size":20,"items":66},[67,128,206,262,307,412],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":72,"content":8,"source_name":73,"source_url":70,"published_at":74,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":75,"score_detail":76,"sources":79,"tags":81,"primary_topic":85,"secondary_topics":90,"classification":91,"search_phrases":105,"slug":108,"view_count":109,"doi":110,"paper":111,"created_at":127},3875,"Farmland management right mortgage loan participation and agricultural return migration: evidence from Ningxia, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1912009","China’s farmland management right mortgage loan (FMRML) arrangement allows farmland management rights to serve as collateral for agricultural production finance, yet household-level evidence linking it to agricultural return migration remains limited. Using 2024 survey data from 532 rural households in FMRML implementation areas of Ningxia, this study examines agricultural return migration, defined as the return of a household member with migrant-employment experience who remained in the rural area for at least 3 months and engaged in agriculture or agriculture-related activities. In the fully adjusted Probit model, participation is associated with a 15.9-percentage-point higher predicted probability of agricultural return migration, conditional on household characteristics, land and agricultural operating foundations, and local financial-service conditions. The association persists when a demand-side proxy is used and across alternative model and control specifications, county\u002Fdistrict and township fixed effects, propensity-score matching, and a heteroskedasticity-based instrumental-variable sensitivity analysis. The baseline coefficient also lies outside the random-label permutation distribution. Mechanism-consistent models associate participation with a larger net change in operated agricultural area per household member and a larger log change in long-term agricultural productive-asset stock; both components are positively associated with agricultural return migration conditional on participation and the baseline controls. Bootstrap inference for Karlson–Holm–Breen decompositions yields positive descriptive indirect associations for each component and jointly. Separate probability-scale comparisons indicate larger associations for trained than untrained households, for households operating contiguous rather than noncontiguous plots, and for households whose heads had at least six rather than fewer years of schooling; differences by terrain and contracted farmland area are not statistically discernible. The association is substantially larger among households embedded in socialized agricultural service organizations. These findings connect the financial mobilization of farmland management rights with household labor re-engagement and local agricultural operating conditions and suggest that household capabilities, plot configuration, and organizational services are important complementary conditions. Because the core variables share a common cross-sectional reference period, temporal ordering remains unresolved; the estimates represent conditional and mechanism-consistent associations. Policy design should coordinate agricultural finance with inclusive technical and organizational services, voluntary plot-adjustment support, and borrower safeguards.","中国农地经营权抵押贷款（farmland management right mortgage loan, FMRML）制度允许农地经营权作为农业生产融资的抵押物，但其与农业回流迁移之间关联的农户层面证据仍然有限。本研究利用2024年宁夏FMRML实施地区532户农户的调查数据，考察农业回流迁移，将其定义为具有外出务工经历的家庭成员返回农村地区并至少停留3个月且从事农业或农业相关活动。在完全调整的Probit模型中，在控制农户特征、土地与农业经营基础以及当地金融服务条件的情况下，参与FMRML与农业回流迁移的预测概率高出15.9个百分点相关。当使用需求侧代理变量以及在不同模型和控制设定、县\u002F区与乡镇固定效应、倾向得分匹配以及基于异方差的工具变量敏感性分析下，这一关联依然稳健。基准系数也位于随机标签置换分布之外。机制一致性模型表明，参与FMRML与人均经营农地面积的较大净变化以及长期农业生产性资产存量的较大对数变化相关；在控制参与变量和基准协变量的条件下，这两个组成部分均与农业回流迁移正相关。Karlson–Holm–Breen分解的Bootstrap推断显示，各组成部分及联合均存在正向的描述性间接关联。分概率尺度比较表明，受过培训的农户比未受培训的农户关联更大，经营连片地块的农户比经营非连片地块的农户关联更大，户主受教育年限至少六年的农户比少于六年的农户关联更大；地形和承包耕地面积方面的差异在统计上不可辨别。嵌入农业社会化服务组织的农户中，这一关联显著更大。这些发现将农地经营权的金融化动员与农户劳动力再参与及当地农业经营条件联系起来，并表明农户能力、地块配置和组织化服务是重要的互补条件。由于核心变量共享共同的横截面","Frontiers in Sustainable Food Systems","2026-09-30T00:00:00Z",78,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":77,"relevant":21,"comment":78},9,"基于宁夏532户调查的实证研究，方法稳健、机制清晰，为农村金融与劳动力回流政策提供参考，但属区域截面证据、时效与影响层级有限。",[80],{"name":73,"url":70},[27,82,28,83,84],"农业社会化服务","土地经营权","返乡务农",{"code":39,"slug":86,"name":87,"path":88,"parent_code":89},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":93},"classified",{"candidates":94,"agricultural_evidence":48},[95,101],{"code":39,"score":96,"supported":48,"title":97,"abstract":98,"tags":100},5,[],[99],"社会化服务",[82,28],{"code":44,"score":21,"supported":13,"title":102,"abstract":103,"tags":104},[],[],[27],[106,107],"宁夏 土地经营权抵押贷款 返乡务农","农地经营权抵押 农户 回流","宁夏土地经营权抵押贷款返乡务农-3875",2,"10.3389\u002Ffsufs.2026.1912009",{"doi":110,"openalex_id":112,"authors":113,"venue":73,"cited_by_count":56,"oa_url":70,"card":121,"direction":61,"ingested_from":126},"W7214986053",[114,116,118],{"name":115,"orcid":8},"Guanyu Qin",{"name":117,"orcid":8},"Yun Yu",{"name":119,"orcid":120},"Tao Li","https:\u002F\u002Forcid.org\u002F0000-0001-7470-5036",{"tldr":122,"method":123,"finding":124,"direction":61,"opportunity":125},"基于宁夏532户调查，研究农地经营权抵押贷款参与是否促进农业回流迁移。","2024年宁夏532户问卷，Probit模型、PSM、工具变量与KHB分解。","参与抵押贷款使农业回流迁移概率提高15.9个百分点，且受培训、地块连片和服务组织强化。","可探究金融可得性通过资产与规模路径影响劳动力回流，并引入数字普惠金融或服务组织的中介机制。","openalex","2026-10-01T23:30:07.372962Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":133,"content":8,"source_name":73,"source_url":131,"published_at":134,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":135,"score_detail":136,"sources":140,"tags":142,"primary_topic":147,"secondary_topics":153,"classification":154,"search_phrases":177,"slug":180,"view_count":56,"doi":181,"paper":182,"created_at":205},5372,"Livelihood risks and resilience of rural households: evidence from Sichuan Province, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1934397","Rural households in flood-prone areas face overlapping livelihood risks, yet evidence remains limited on how specific risk dimensions are associated with different components of livelihood resilience. This study examined these associations among rural households in three counties of Sichuan Province, China. Cross-sectional questionnaire data were collected from 540 rural households in Gaoxian, Jiajiang, and Yuechi counties. Composite indices were constructed for health, environmental, financial, and social risks and for buffering, self-organization, and learning capacities. Fractional logit models with county fixed effects were used to estimate adjusted associations, with inference based on village-clustered wild-bootstrap procedures. Social risk was negatively associated with buffering capacity, self-organization capacity, learning capacity, and overall livelihood resilience. Health risk was negatively associated with self-organization capacity at the 10% level and with overall livelihood resilience at the 5% level, but not with buffering or learning capacity. Financial risk was positively associated with overall livelihood resilience in the baseline model, but this association was not robust to excluding loan-amount indicators. Environmental risk was not statistically associated with any resilience outcome. The associations between livelihood risk and resilience were dimension-specific and should not be interpreted as causal. The findings identify social support and access to health services as priorities for further local assessment, while financial vulnerability should be distinguished from credit access and environmental interventions should be guided by additional evidence on local hazards and program performance.","洪涝易发地区的农村家庭面临多重生计风险，但关于具体风险维度与生计韧性不同组成部分之间关联的证据仍然有限。本研究考察了中国四川省三个县农村家庭中这些关联。研究收集了高县、夹江县和岳池县540户农村家庭的横截面问卷数据，构建了健康风险、环境风险、金融风险和社会风险以及缓冲能力、自组织能力和学习能力的综合指数。采用带县级固定效应的分数对数模型估计调整后的关联，推断基于村级聚类野生自助法程序。社会风险与缓冲能力、自组织能力、学习能力及总体生计韧性呈负相关。健康风险在10%水平上与自组织能力呈负相关，在5%水平上与总体生计韧性呈负相关，但与缓冲能力或学习能力无关。金融风险在基准模型中与总体生计韧性呈正相关，但该关联在剔除贷款金额指标后不稳健。环境风险与任何韧性结果均无统计学关联。生计风险与韧性之间的关联具有维度特异性，不应被解释为因果关系。研究结果将社会支持和卫生服务可及性确定为地方进一步评估的优先事项，同时应将金融脆弱性与信贷可及性加以区分，环境干预措施应以关于地方灾害和项目绩效的更多证据为指导。","2026-10-19T00:00:00Z",63,{"impact":137,"substance":18,"depth":138,"authority":19,"freshness":77,"relevant":21,"comment":139},8,15,"基于四川三县540户问卷的实证研究，揭示社会风险对生计韧性的负向关联，方法规范但属区域案例，公共影响有限，可作参考而非精选。",[141],{"name":73,"url":131},[143,27,144,145,146],"乡村治理","生计韧性","健康服务","农户生计",{"code":148,"slug":149,"name":150,"path":151,"parent_code":152},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":155},{"candidates":156,"agricultural_evidence":48},[157,163,167,172],{"code":148,"score":158,"supported":48,"title":159,"abstract":160,"tags":162},3,[],[161],"洪涝",[],{"code":44,"score":21,"supported":13,"title":164,"abstract":165,"tags":166},[],[],[27],{"code":168,"score":21,"supported":13,"title":169,"abstract":170,"tags":171},"G5",[],[],[143],{"code":173,"score":21,"supported":13,"title":174,"abstract":175,"tags":176},"G6",[],[],[146],[178,179],"四川 农户 生计韧性","高县 夹江 岳池 农户","四川农户生计韧性-5372","10.3389\u002Ffsufs.2026.1934397",{"doi":181,"openalex_id":183,"authors":184,"venue":73,"cited_by_count":56,"oa_url":131,"card":200,"direction":61,"ingested_from":126},"W7222969600",[185,188,190,192,194,196,198],{"name":186,"orcid":187},"Tao Liu","https:\u002F\u002Forcid.org\u002F0000-0002-0506-3356",{"name":189,"orcid":8},"Ting Zhao",{"name":191,"orcid":8},"Jiahui Tian",{"name":193,"orcid":8},"Shanshan Zhao",{"name":195,"orcid":8},"Tao Zeng",{"name":197,"orcid":8},"Lijie Xu",{"name":199,"orcid":8},"Wei Liu",{"tldr":201,"method":202,"finding":203,"direction":61,"opportunity":204},"分析四川三县540户农户生计风险各维度与生计韧性各成分的关联。","入户问卷构建风险与韧性指数，用分数logit模型加县固定效应和村级聚类野生自助法","社会风险与各韧性成分及总体韧性负相关，健康风险与总体韧性负相关，环境风险无显著关联。","可结合数字乡村建设，研究社会支持网络与医疗可及性等信息化服务如何提升农户生计韧性。","2026-10-20T23:30:06.775370Z",{"id":207,"title":208,"url":209,"summary":210,"summary_zh":8,"content":8,"source_name":211,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":212,"sources":214,"tags":216,"primary_topic":221,"secondary_topics":227,"classification":228,"search_phrases":250,"slug":253,"view_count":21,"doi":8,"paper":254,"created_at":261},4970,"第三方数字信用认证对农户具有价值吗","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjxcjdxxb\u002Fmulu\u002F695999.html","朱乾宇、尤婧(中国人民大学农业与农村发展学院)基于商业银行数字化转型过程与金融科技企业合作、并由后者为农户提供第三方数字信用认证的准自然实验进行实证分析。研究发现,第一,第三方数字信用认证提高了农户正规信贷可获得性和信贷次数;第二,通过缓解农户正规信贷约束,促使农户调减大田作物种植面积占比,促进更多价值更高的农机具替代老龄农业劳动力,增加大田作物的纯收入,并降低农户的风险厌恶程度;第三,农户可被观测和无法被观测的异质性会影响上述因果效应的大小。","《中国农村经济》",{"impact":18,"substance":17,"depth":18,"authority":138,"freshness":109,"relevant":21,"comment":213},"核心期刊实证研究，揭示第三方数字信用认证对农户信贷与生产行为的因果影响，结论扎实但时效性偏弱。",[215],{"name":211,"url":209},[217,218,27,219,220],"数字乡村","金融科技","农户信贷","数字信用",{"code":222,"slug":223,"name":224,"path":225,"parent_code":226},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":229},{"candidates":230,"agricultural_evidence":48},[231,236,241,245],{"code":222,"score":158,"supported":48,"title":232,"abstract":233,"tags":235},[],[234],"农机",[],{"code":89,"score":158,"supported":48,"title":237,"abstract":238,"tags":240},[],[239],"农村发展",[],{"code":44,"score":21,"supported":13,"title":242,"abstract":243,"tags":244},[],[],[27],{"code":246,"score":21,"supported":13,"title":247,"abstract":248,"tags":249},"I6",[],[],[217],[251,252],"第三方数字信用认证 农户信贷","朱乾宇 数字信用认证 准自然实验","第三方数字信用认证农户信贷-4970",{"doi":8,"openalex_id":8,"authors":255,"venue":8,"cited_by_count":56,"oa_url":8,"card":256,"direction":61,"ingested_from":63},[],{"tldr":257,"method":258,"finding":259,"direction":61,"opportunity":260},"实证检验第三方数字信用认证对农户信贷与生产行为的影响。","基于银行与金融科技合作的准自然实验，实证分析农户数据。","认证提高农户信贷可得性，促其调整种植结构、增购农机并增收。","可探究数字信用认证对农户长期生产经营与风险偏好的持续影响。","2026-10-15T00:06:08.951510Z",{"id":263,"title":264,"url":265,"summary":266,"summary_zh":8,"content":267,"source_name":268,"source_url":8,"published_at":269,"category":270,"cover_url":8,"hotness":12,"is_selected":48,"score":271,"score_detail":272,"sources":277,"tags":279,"primary_topic":284,"secondary_topics":288,"classification":289,"search_phrases":302,"slug":305,"view_count":21,"doi":8,"paper":8,"created_at":306},4622,"优化金融服务匹配农业农村需求——六部门部署完善乡村振兴投入机制","https:\u002F\u002Fdfjrjgj.hlj.gov.cn\u002Fhljjrjd\u002Fc113136\u002F202610\u002Fc00_31982805.shtml","农业农村部、中央农办、国家发改委、财政部、人民银行、金融监管总局联合印发《坚持农业农村优先发展、完善乡村振兴投入机制实施方案》,明确提升信贷资金支农效能。方案提出创新金融+农资协同模式、发展农业产业链金融、推动农村信用体系建设等举措;邮储银行四川分行与省农担推出邮担快贷最高300万元、担保费率0.2%\u002F年,纯信用贷基础额度最高200万元,旺季可提至500万元。","&ensp;&ensp;&ensp;&ensp;近日，农业农村部等六部门联合印发《坚持农业农村优先发展、完善乡村振兴投入机制实施方案》（以下简称《方案》），《方案》明确要求提升信贷资金支农效能。支持银行机构在依法合规前提下，创新并推广与农业农村需求相匹配的信贷产品，加大首贷、信用贷等产品供给和续贷政策实施力度。&ensp;&ensp;&ensp;&ensp;“金融需要从多方面协同发力，结合‘三农’特点提供适配信贷产品，对符合条件的贷款给予支持。”招联首席经济学家董希淼表示，为做好农资保供稳价，可创新“金融+农资”协同模式，灵活调度信贷资源保障农时需求；发展农业产业链金融，加大对绿色种养、精深加工及农文旅融合的信贷投入；推动农村信用体系建设，持续开展“信用户、信用村、信用乡（镇）”评定；加强农村信用信息基础设施建设，加强涉农数据归集共享，夯实农村金融服务基础。&ensp;&ensp;&ensp;&ensp;各类金融机构纷纷发力创新金融服务支持农业生产。农村商业银行针对农业生产季节性特点，织密村级服务网格，持续提升金融服务农业生产便利性。浙江农商联合银行辖内永嘉农商银行以信用村创建为载体，推动“渠道、人员、服务、组织、管理”下沉，逐户了解、记录各户人口、从事职业、年经济收入等情况，已建立20.44万户资信档案，精准对接农户需求。“银行可走访农业生产大户，为其提供集账户结算、信贷支持于一体的全方位金融服务，支持农业生产大户等新型农业主体的多样化需求。”浙江农商联合银行辖内吴兴农商银行普惠金融部总经理沈振兴说。&ensp;&ensp;&ensp;&ensp;针对粮食收购主体普遍存在的抵押物不足问题，邮储银行四川分行与四川省农业担保公司合作推出专属担保贷款产品“邮担快贷”，最高额度达300万元、担保费率低至0.2%\u002F年，有效破解缺抵押难题，降低融资成本。同时，推出纯信用贷款产品，基础额度最高200万元，并在粮食收购旺季实施专项提额，最高可至500万元，无需抵押担保，精准匹配收购环节“短、频、急、快”资金需求。&ensp;&ensp;&ensp;&ensp;“需要支持地方建设活体畜禽与农业设施数字化登记管理平台，推动确权、登记、评估与流转全流程闭环管理。将银行数字化服务深度衔接乡村振兴工作，激活乡村经济活力。”中国农业科学院农业经济与发展研究所研究员谢玲红说。浙江泰隆商业银行丽水分行积极创新数字化服务，对接农户产销需求，将云和雪梨、景宁地瓜面、缙云土爽面等一众本土特色农产品上线“泰隆生活”平台。通过社群精准推广、线上专场带货等营销方式，帮助山区农户打通线上销路。&ensp;&ensp;&ensp;&ensp;支农效能的提升，归根结底取决于银行是否真正建立起识别农业经营主体信用价值的专业能力。专家表示，商业银行可聚焦特色农业产业集群规划，以核心企业主体信用为依托，规范发展应收账款融资、存货质押、订单农业质押等场景化工具，将分散的农户个体风险转化为可控的产业链整体风险，助力农业全产业链价值跃升。","中国经济网 2026-10-10","2026-10-10T00:00:00Z","报道",88,{"impact":273,"substance":17,"depth":274,"authority":275,"freshness":77,"relevant":21,"comment":276},26,17,14,"六部门联合印发乡村振兴投入机制实施方案，含具体信贷条款与多地金融机构创新案例，政策层级高、信息增量足，值得进入每日精选。",[278],{"name":268,"url":265},[280,27,281,282,283],"乡村振兴","信贷支农","农村信用体系","农业产业链金融",{"code":89,"slug":285,"name":286,"path":287,"parent_code":8},"rural-services","农业服务与乡村发展","\u002Ftopic\u002Frural-services",[],{"status":290,"locked":13,"version":34,"method":35,"evidence":291},"partial",{"candidates":292,"agricultural_evidence":48},[293,298],{"code":89,"score":294,"supported":48,"title":295,"abstract":296,"tags":297},12,[280],[280],[280],{"code":44,"score":21,"supported":13,"title":299,"abstract":300,"tags":301},[],[],[27],[303,304],"六部门 乡村振兴投入机制","邮担快贷 邮储银行 四川","六部门乡村振兴投入机制-4622","2026-10-11T00:09:36.350801Z",{"id":308,"title":309,"url":310,"summary":311,"summary_zh":312,"content":8,"source_name":73,"source_url":310,"published_at":313,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":314,"score_detail":315,"sources":317,"tags":319,"primary_topic":323,"secondary_topics":324,"classification":325,"search_phrases":392,"slug":395,"view_count":21,"doi":396,"paper":397,"created_at":411},4557,"The impact of agricultural socialized services on grain farmers’ agricultural eco‑economic efficiency","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1880279","Developing agricultural socialized services (ASS) while promoting green and low-carbon grain production is an important component of agricultural modernization in China. Although previous studies have examined the effects of ASS on agricultural productivity, farm income, and individual input use, it remains unclear whether ASS improve household-level agricultural eco-economic efficiency (AEE), which jointly accounts for economic output, resource use, and environmental costs. Evidence is also limited regarding the factor-allocation channels and production conditions underlying this relationship. Using survey data from 5,992 grain-producing households across 14 provinces in China, this study examines household-level AEE and examines its relationship with ASS adoption using OLS and an instrumental-variable two-stage least squares specification. The results indicate that: (1) ASS adoption is positively associated with grain farmers’ AEE; (2) the estimated relationship varies across farm sizes and crop types, with a more pronounced positive estimate among farmers operating at least 2 ha, but a negative estimate among wheat-growing households; and (3) ASS adoption is associated with a lower share of fertilizer and pesticide expenditure in total variable production costs, whereas no statistically significant labor-reallocation channel is identified. These findings suggest that ASS policies should improve service quality, reduce smallholders’ barriers to service access, develop crop- and production-stage-specific service packages, and promote more precise management of agricultural inputs.","发展农业社会化服务（agricultural socialized services，ASS）并推动粮食绿色低碳生产，是中国农业现代化的重要组成部分。尽管已有研究考察了ASS对农业生产力、农户收入及单项投入品使用的影响，但ASS是否能够提升农户层面的农业生态经济效率（agricultural eco-economic efficiency，AEE）——该效率综合考量经济产出、资源利用与环境成本——仍不明确。关于这一关系背后的要素配置渠道和生产条件，现有证据也较为有限。本研究利用中国14个省份5 992户粮食种植户的调查数据，测度农户层面的AEE，并采用OLS和工具变量两阶段最小二乘（IV-2SLS）方法考察其与ASS采纳的关系。结果表明：（1）ASS采纳与粮农AEE呈正相关；（2）这一估计关系因经营规模和作物类型而异，在经营面积不低于2公顷的农户中正向估计更为显著，但在小麦种植户中呈负向估计；（3）ASS采纳与肥料和农药支出在总可变生产成本中占比下降相关，而未发现统计上显著的劳动力再配置渠道。上述发现表明，ASS政策应提升服务质量，降低小农户获取服务的门槛，开发针对特定作物和生产环节的服务包，并推动农业投入品更为精准的管理。","2026-10-09T00:00:00Z",81,{"impact":18,"substance":17,"depth":18,"authority":275,"freshness":77,"relevant":21,"comment":316},"基于14省5992户粮农调查的实证研究，方法规范、数据扎实，结论对农业社会化服务政策有参考价值，但属学术论文，公共传播性有限。",[318],{"name":73,"url":310},[320,82,28,321,322],"农业绿色发展","粮食生产","生态经济效率",{"code":39,"slug":86,"name":87,"path":88,"parent_code":89},[],{"status":92,"locked":13,"version":34,"method":35,"evidence":326},{"candidates":327,"agricultural_evidence":48},[328,333,340,347,354,361,366,372,377,382,387],{"code":39,"score":137,"supported":48,"title":329,"abstract":330,"tags":332},[],[99,331],"小农户",[82,28],{"code":334,"score":20,"supported":48,"title":335,"abstract":336,"tags":339},"A2",[],[337,338],"小麦","wheat",[],{"code":341,"score":20,"supported":48,"title":342,"abstract":343,"tags":346},"F3",[],[344,345],"肥料","fertilizer",[],{"code":348,"score":20,"supported":48,"title":349,"abstract":350,"tags":353},"F4",[],[351,352],"农药","pesticide",[],{"code":355,"score":20,"supported":48,"title":356,"abstract":357,"tags":360},"J2",[],[358,359],"农业现代化","agricultural modernization",[],{"code":173,"score":158,"supported":48,"title":362,"abstract":363,"tags":365},[],[364],"农户收入",[],{"code":367,"score":158,"supported":48,"title":368,"abstract":369,"tags":371},"H6",[],[370],"农业生态",[],{"code":373,"score":21,"supported":13,"title":374,"abstract":375,"tags":376},"A",[],[],[321],{"code":378,"score":21,"supported":13,"title":379,"abstract":380,"tags":381},"A8",[],[],[321],{"code":383,"score":21,"supported":13,"title":384,"abstract":385,"tags":386},"H4",[],[],[320],{"code":388,"score":21,"supported":13,"title":389,"abstract":390,"tags":391},"H8",[],[],[320],[393,394],"农业社会化服务 粮食 生态经济效率","农户 化肥农药 投入","农业社会化服务粮食生态经济效率-4557","10.3389\u002Ffsufs.2026.1880279",{"doi":396,"openalex_id":398,"authors":399,"venue":73,"cited_by_count":56,"oa_url":404,"card":405,"direction":409,"ingested_from":126},"W7221161337",[400,402],{"name":401,"orcid":8},"Wensu Tang",{"name":403,"orcid":8},"Xiaohui Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1880279\u002Fpdf",{"tldr":406,"method":407,"finding":408,"direction":409,"opportunity":410},"基于14省5992户粮农调查，评估农业社会化服务对农户农业生态经济效率的影响。","OLS与工具变量两阶段最小二乘法，使用14省粮食种植户调查数据。","农业社会化服务提升生态经济效率，规模≥2公顷更明显，小麦户为负；降低化肥农药成本占比。","农业绿色发展与碳","可探究社会化服务对小麦户负效应的成因，及分作物分环节服务包的环境经济协同机制。","2026-10-10T23:30:06.258239Z",{"id":413,"title":414,"url":415,"summary":416,"summary_zh":417,"content":8,"source_name":73,"source_url":415,"published_at":313,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":418,"score_detail":419,"sources":421,"tags":423,"primary_topic":428,"secondary_topics":432,"classification":433,"search_phrases":462,"slug":465,"view_count":158,"doi":466,"paper":467,"created_at":484},4556,"Can rural collective economic development mitigate farmland abandonment in China? The roles of endogenous scale economies and exogenous financial incentives","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1952402","Reducing farmland abandonment is of critical importance for the scientific management of land resources, safeguarding food security, and promoting sustainable agricultural development. Existing research on farmland abandonment has mostly focused on individual or policy factors, and the association between the rural collective economy and farmland abandonment has not been fully examined quantitatively. Based on the latest panel data from the China Labor-force Dynamics Survey, this paper empirically examines the statistical correlation and conditional mechanisms between rural collective economic development and farmland abandonment from the dual perspectives of endogenous scale economies and exogenous financial incentives. The study finds that the level of collective economic development is significantly and negatively correlated with both the area and proportion of farmland abandonment. From the perspective of endogenous scale economies, collective economic organizations possessing the dual characteristics of “farmland scale management” and “service scale management” are associated with a lower degree of farmland abandonment. From the perspective of exogenous financial incentives, in the groups of households that have obtained loans and have higher loan amounts, the negative correlation between collective economic development and abandonment is more pronounced. Heterogeneity analysis shows that in villages providing uniform irrigation and drainage, technical guidance, and planting planning services, the aforementioned negative correlation is more prominent. Based on this, the role of the collective economy in relation to farmland abandonment is noted, alongside associations of lower abandoned land with the cultivation of moderate-scale agricultural management and the optimization of rural financial supply.","减少农地撂荒对科学管理土地资源、保障粮食安全以及促进农业可持续发展至关重要。现有农地撂荒研究多聚焦于个体或政策因素，农村集体经济与农地撂荒之间的关联尚未得到充分的定量检验。基于中国劳动力动态调查的最新面板数据，本文从内生性规模经济与外生性资金激励的双重角度，实证检验了农村集体经济发展与农地撂荒之间的统计相关性与条件机制。研究发现，集体经济发展水平与农地撂荒面积及撂荒比例均呈显著负相关。从内生性规模经济角度看，同时具备“农地规模经营”与“服务规模经营”双重特征的集体经济组织，其农地撂荒程度较低。从外生性资金激励角度看，在获得贷款以及贷款金额较高的农户群体中，集体经济发展与撂荒之间的负相关关系更为明显。异质性分析表明，在提供统一排灌、技术指导和种植规划服务的村庄中，上述负相关关系更为突出。据此，本文指出了集体经济在农地撂荒方面的作用，以及适度规模农业经营发展与农村金融供给优化与较低撂荒程度之间的关联。",80,{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":77,"relevant":21,"comment":420},"基于全国面板数据实证揭示集体经济与耕地撂荒的负相关及规模经营、金融供给机制，对耕地保护与乡村治理有参考价值。",[422],{"name":73,"url":415},[424,27,425,426,427],"粮食安全","农村集体经济","土地流转","耕地撂荒",{"code":378,"slug":429,"name":430,"path":431,"parent_code":373},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":434},{"candidates":435,"agricultural_evidence":48},[436,442,447,453,457],{"code":378,"score":437,"supported":48,"title":438,"abstract":439,"tags":441},7,[],[424,440],"food security",[424],{"code":44,"score":443,"supported":48,"title":444,"abstract":445,"tags":446},4,[],[27],[27],{"code":448,"score":158,"supported":48,"title":449,"abstract":450,"tags":452},"H3",[],[451],"irrigation",[],{"code":39,"score":21,"supported":13,"title":454,"abstract":455,"tags":456},[],[],[426],{"code":458,"score":21,"supported":13,"title":459,"abstract":460,"tags":461},"G4",[],[],[425],[463,464],"农村集体经济 耕地撂荒","中国劳动力动态调查 农地撂荒","农村集体经济耕地撂荒-4556","10.3389\u002Ffsufs.2026.1952402",{"doi":466,"openalex_id":468,"authors":469,"venue":73,"cited_by_count":56,"oa_url":478,"card":479,"direction":61,"ingested_from":126},"W7221153022",[470,473,476],{"name":471,"orcid":472},"Qiang Liu","https:\u002F\u002Forcid.org\u002F0000-0001-9736-7084",{"name":474,"orcid":475},"Junyan Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-1844-617X",{"name":477,"orcid":8},"Jie Lyu","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1952402\u002Fpdf",{"tldr":480,"method":481,"finding":482,"direction":61,"opportunity":483},"基于CLDS面板数据，实证检验农村集体经济发展与耕地撂荒的负相关关系及其作用机制。","中国劳动力动态调查面板数据，内生规模经济与外生金融激励双视角回归分析。","集体经济发展显著降低撂荒面积与比例，规模经营、贷款获取及村级服务强化该负相关。","可探究集体经济组织如何借助数字平台整合土地与服务规模，以更精准抑制撂荒。","2026-10-10T23:30:06.187800Z"]