[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4484":3,"related-4484":85},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":58,"slug":61,"view_count":62,"doi":63,"paper":64,"created_at":84},4484,"What are the configuration paths for improving the business performance of land trusteeship enterprises?","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1931860","To promote the growth of agricultural enterprises and enhance their ability to collaborate with and benefit farmers, improving the business performance of land trusteeship enterprises has become an urgent issue. Drawing on the perspective of interest linkage mechanism and employing fuzzy set qualitative comparative analysis method, this paper explores pathways for enhancing the business performance of land trusteeship enterprises, then conducting a series of heterogeneity analyses and robustness tests. The main findings are as follows. No component is individually necessary. Two configurations are sufficient for high performance: cooperative trust combined with resource sharing, and cooperative trust combined with mutual benefit. The configurations associated with low performance are structurally distinct from the negation of these pathways, confirming causal asymmetry. Sub-sample analyses show that the sufficient configuration shifts systematically with governance architecture and service breadth: mutual benefit is pivotal where enterprises contract with households directly, resource sharing becomes pivotal once a cooperative or village collective mediates the relationship, and full-item providers require all three components jointly. These findings can provide guidance for improving the operational performance of land trusteeship enterprises. Unlike the regression only to analyze the net effect of individual influencing factors, this study based on perspective of interest linkage mechanism to examine the coupled effects of multiple influencing factors.","为推动农业企业发展并增强其联农带农能力，提升土地托管企业的经营绩效已成为紧迫议题。本文基于利益联结机制视角，运用模糊集定性比较分析方法，探讨土地托管企业经营绩效的提升路径，并开展了一系列异质性分析与稳健性检验。主要发现如下：各条件变量均非单独构成必要条件。存在两种足以引致高绩效的条件组态：合作信任与资源共享的组合，以及合作信任与互惠互利的组合。与低绩效相关联的组态在结构上不同于这些路径的否定形式，证实了因果非对称性。子样本分析表明，充分条件组态随治理架构与服务广度发生系统性变化：在企业直接与农户签约的情形下，互惠互利发挥关键作用；一旦由合作社或村集体充当中介，资源共享则成为关键要素；而提供全程服务的企业则需要三个条件同时具备。上述发现可为提升土地托管企业的经营绩效提供指导。与仅通过回归分析考察单个影响因素的净效应不同，本研究基于利益联结机制视角，考察多重影响因素的耦合效应。",null,"Frontiers in Sustainable Food Systems","2026-10-08T00:00:00Z","论文",10,false,72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,21,17,13,9,1,"基于fsQCA方法揭示土地托管企业高绩效的组态路径，方法新颖、结论具体，对农业社会化服务主体培育有参考价值，但属学术个案研究，影响范围有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业社会化服务","土地托管","新型经营主体","利益联结机制","农业经营绩效",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,51],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":50},5,true,[],[28],[27,28],{"code":52,"score":53,"supported":47,"title":54,"abstract":55,"tags":57},"G4",3,[],[56],"联农带农",[],[59,60],"土地托管企业 经营绩效 利益联结","农业社会化服务 农业经营绩效 利益联结机制 新型经营主体","土地托管企业经营绩效利益联结-4484",0,"10.3389\u002Ffsufs.2026.1931860",{"doi":63,"openalex_id":65,"authors":66,"venue":10,"cited_by_count":62,"oa_url":6,"card":77,"direction":81,"ingested_from":83},"W7221037690",[67,69,71,74],{"name":68,"orcid":9},"Shan Zheng",{"name":70,"orcid":9},"Guanqi Zhao",{"name":72,"orcid":73},"Guoqing Liu","https:\u002F\u002Forcid.org\u002F0009-0007-6629-846X",{"name":75,"orcid":76},"Lianghong Yu","https:\u002F\u002Forcid.org\u002F0000-0001-6368-6167",{"tldr":78,"method":79,"finding":80,"direction":81,"opportunity":82},"用fsQCA分析土地托管企业高绩效的组态路径及异质性。","模糊集定性比较分析（fsQCA），基于利益联结机制视角。","高绩效需合作信任与资源共享或互惠组合，且路径随治理结构和服务广度变化。","数字乡村与农业信息化","可将利益联结组态与数字化平台数据结合，探究数字中介如何改变托管绩效路径。","openalex","2026-10-09T23:30:06.367786Z",{"total":86,"page":22,"page_size":86,"items":87},6,[88,131,184,260,363,414],{"id":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":10,"source_url":91,"published_at":94,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":95,"sources":97,"tags":99,"primary_topic":103,"secondary_topics":104,"classification":105,"search_phrases":112,"slug":115,"view_count":116,"doi":117,"paper":118,"created_at":130},3149,"Measurement of interest linkage level between land trusteeship enterprises and farmers in China: based on TOPSIS method with comprehensive weighting","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1931691","The cooperative outcomes between land trusteeship enterprises and farmers have fallen substantially short of expectations due to trust deficits, factor mismatches, and imbalances in benefit distribution. The root cause of this paradox lies in the absence or weakness of interest linkage mechanisms. Measuring the interest linkage level and optimizing the interest linkage mechanism are therefore key to resolving this issue, yet existing research has paid insufficient attention to this problem. Accordingly, first, this study innovatively constructs an indicator system for measuring the interest linkage level in land trusteeship based on the interest linkage theory. Second, the AHP and Entropy method was used to determine the subjective and objective weights. Finally, we use the TOPSIS method to measure the interest linkage level, analyze its spatio-temporal characteristics and heterogeneity. The results show that: (1) Overall, the interest linkage level between land trusteeship enterprises and farmers stands at 0.516, representing a moderate level. Among the three sub-dimensions, resource sharing is relatively high, mutual benefit is moderate, and cooperative trust is comparatively low, indicating that weak trust constitutes the most prominent shortcoming of the current interest linkage mechanism. (2) In terms of temporal changes, between 2021 and 2022, the levels of interest linkage, cooperative trust, resource sharing, and mutual benefit all exhibited an upward trend, with resource sharing recording the fastest rate of increase. In terms of regional disparities, Jining city of China exhibits the highest level of interest linkage, whereas Weifang city records the lowest. (3) Regarding heterogeneity, the interest linkage level is highest for small-scale pure farmers, followed in descending order by part-time farmers and large-scale specialized farmers. The interest linkage level increases as the number of trusteeship service links expands. Among the three principal trusteeship models, differences in interest linkage levels exist but are not pronounced. The findings contribute to the theoretical development of interest linkage mechanisms and offer actionable policy implications for improving enterprise–farmer cooperative arrangements.","土地托管企业与农户的合作成效因信任缺失、要素错配与利益分配失衡而显著低于预期，这一悖论的根源在于利益联结机制的缺位或薄弱。因此，测度利益联结水平并优化利益联结机制是破解该问题的关键，但现有研究对此关注不足。据此，本研究首先基于利益联结理论，创新性地构建了土地托管利益联结水平测度指标体系；其次，采用层次分析法与熵权法确定主客观权重；最后，运用TOPSIS法测度利益联结水平，并分析其时空特征与异质性。结果表明：（1）总体而言，土地托管企业与农户的利益联结水平为0.516，处于中等水平。在三个子维度中，资源共享水平相对较高，互利共赢处于中等水平，合作信任水平相对较低，表明信任薄弱是当前利益联结机制最为突出的短板。（2）从时间变化来看，2021—2022年间，利益联结水平、合作信任、资源共享与互利共赢均呈上升趋势，其中资源共享增速最快。从区域差异来看，中国济宁市的利益联结水平最高，潍坊市最低。（3）从异质性来看，小规模纯农户的利益联结水平最高，其次依次为兼业农户和大规模专业农户。利益联结水平随托管服务环节数量的增加而提高。在三种主要托管模式中，利益联结水平存在差异但并不显著。研究结论有助于推动利益联结机制的理论发展，并为完善企业与农户合作安排提供可操作的政策启示。","2026-09-21T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":96},"基于AHP-熵权TOPSIS构建土地托管利益联结测度体系，方法有新意、结论具体，但属区域实证研究，公共影响有限。",[98],{"name":10,"url":91},[27,28,100,101,102],"利益联结","农户合作","TOPSIS",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":106},{"candidates":107,"agricultural_evidence":47},[108],{"code":33,"score":46,"supported":47,"title":109,"abstract":110,"tags":111},[],[28],[27,28],[113,114],"土地托管 利益联结 农户","济宁 潍坊 土地托管","土地托管利益联结农户-3149",2,"10.3389\u002Ffsufs.2026.1931691",{"doi":117,"openalex_id":119,"authors":120,"venue":10,"cited_by_count":62,"oa_url":91,"card":125,"direction":81,"ingested_from":83},"W7213937854",[121,122,123],{"name":68,"orcid":9},{"name":72,"orcid":73},{"name":124,"orcid":9},"Yu Lianghong",{"tldr":126,"method":127,"finding":128,"direction":81,"opportunity":129},"构建指标体系并用组合赋权TOPSIS测度中国土地托管企业与农户的利益联结水平。","基于利益联结理论构建指标体系，AHP与熵权法组合赋权，TOPSIS测度。","利益联结整体处中等水平，合作信任最弱；小规模纯农户联结水平最高，托管环节越多水平越高。","可将信任缺失作为切入点，探索数字平台与契约治理如何提升托管利益联结的信任维度。","2026-09-22T23:30:08.537335Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":9,"content":9,"source_name":136,"source_url":9,"published_at":137,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":138,"score_detail":139,"sources":142,"tags":144,"primary_topic":148,"secondary_topics":149,"classification":150,"search_phrases":170,"slug":173,"view_count":62,"doi":174,"paper":175,"created_at":183},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",78,{"impact":140,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":141},18,"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。",[143],{"name":136,"url":134},[145,146,147,27],"数字乡村","省级面板","农业现代化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":151},{"candidates":152,"agricultural_evidence":47},[153,160,165],{"code":154,"score":155,"supported":47,"title":156,"abstract":158,"tags":159},"J2",20,[147,157],"agricultural modernization",[147],[147],{"code":33,"score":17,"supported":47,"title":161,"abstract":163,"tags":164},[162],"社会化服务",[162],[27],{"code":166,"score":22,"supported":14,"title":167,"abstract":168,"tags":169},"I6",[],[],[145],[171,172],"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":174,"openalex_id":9,"authors":176,"venue":9,"cited_by_count":62,"oa_url":9,"card":177,"direction":81,"ingested_from":182},[],{"tldr":178,"method":179,"finding":180,"direction":81,"opportunity":181},"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。","agent","2026-10-21T00:10:07.928719Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":9,"content":9,"source_name":189,"source_url":9,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":138,"score_detail":190,"sources":194,"tags":196,"primary_topic":201,"secondary_topics":202,"classification":215,"search_phrases":248,"slug":251,"view_count":62,"doi":9,"paper":252,"created_at":259},4735,"干旱区农技社会化服务试点政策对县域粮食生产的激励效应——基于双重机器学习因果推断","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F176878.html","基于2015至2023年200县面板,采用双重差分与双重机器学习方法评估2021年农业社会化服务试点政策。结果显示政策显著促进县域粮食产量,但呈短期脉冲效应,中等收入地区呈倒U型,主要依赖规模扩张而非效率扩张路径","干旱区资源与环境 2026-10-08",{"impact":140,"substance":191,"depth":140,"authority":192,"freshness":86,"relevant":22,"comment":193},22,14,"基于200县面板与双重机器学习的因果推断，方法新颖、数据扎实，对评估社会化服务试点政策有实质参考价值。",[195],{"name":189,"url":187},[197,198,199,27,200],"粮食安全","因果推断","县域农业","试点政策",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[203,209],{"code":204,"slug":205,"name":206,"path":207,"parent_code":208},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"code":210,"slug":211,"name":212,"path":213,"parent_code":214},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":216},{"candidates":217,"agricultural_evidence":47},[218,222,228,233,239,244],{"code":33,"score":17,"supported":47,"title":219,"abstract":220,"tags":221},[162],[162],[27],{"code":204,"score":223,"supported":47,"title":224,"abstract":226,"tags":227},11,[225],"机器学习",[225],[],{"code":229,"score":21,"supported":47,"title":230,"abstract":231,"tags":232},"I7",[198],[],[198],{"code":210,"score":234,"supported":47,"title":235,"abstract":237,"tags":238},8,[236],"干旱",[],[],{"code":240,"score":22,"supported":14,"title":241,"abstract":242,"tags":243},"A8",[],[],[197],{"code":52,"score":22,"supported":14,"title":245,"abstract":246,"tags":247},[],[],[199],[249,250],"农业社会化服务试点 县域粮食产量","双重机器学习 粮食生产","农业社会化服务试点县域粮食产量-4735",{"doi":9,"openalex_id":9,"authors":253,"venue":9,"cited_by_count":62,"oa_url":9,"card":254,"direction":81,"ingested_from":182},[],{"tldr":255,"method":256,"finding":257,"direction":81,"opportunity":258},"评估干旱区农技社会化服务试点政策对县域粮食产量的因果效应。","2015-2023年200县面板，双重差分与双重机器学习因果推断。","政策显著增产但为短期脉冲效应，中等收入地区呈倒U型，靠规模扩张而非效率提升。","可探究政策长期效应衰减机制及如何转向效率提升型服务模式。","2026-10-12T00:11:14.975039Z",{"id":261,"title":262,"url":263,"summary":264,"summary_zh":265,"content":9,"source_name":10,"source_url":263,"published_at":266,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":267,"score_detail":268,"sources":270,"tags":272,"primary_topic":277,"secondary_topics":278,"classification":279,"search_phrases":343,"slug":346,"view_count":22,"doi":347,"paper":348,"created_at":362},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":140,"substance":191,"depth":140,"authority":192,"freshness":21,"relevant":22,"comment":269},"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。",[271],{"name":10,"url":263},[273,27,274,275,276],"农业绿色发展","农户调查","粮食生产","生态经济效率",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":280},{"candidates":281,"agricultural_evidence":47},[282,287,294,301,308,312,318,324,329,333,338],{"code":33,"score":234,"supported":47,"title":283,"abstract":284,"tags":286},[],[162,285],"小农户",[27,274],{"code":288,"score":86,"supported":47,"title":289,"abstract":290,"tags":293},"A2",[],[291,292],"小麦","wheat",[],{"code":295,"score":86,"supported":47,"title":296,"abstract":297,"tags":300},"F3",[],[298,299],"肥料","fertilizer",[],{"code":302,"score":86,"supported":47,"title":303,"abstract":304,"tags":307},"F4",[],[305,306],"农药","pesticide",[],{"code":154,"score":86,"supported":47,"title":309,"abstract":310,"tags":311},[],[147,157],[],{"code":313,"score":53,"supported":47,"title":314,"abstract":315,"tags":317},"G6",[],[316],"农户收入",[],{"code":319,"score":53,"supported":47,"title":320,"abstract":321,"tags":323},"H6",[],[322],"农业生态",[],{"code":325,"score":22,"supported":14,"title":326,"abstract":327,"tags":328},"A",[],[],[275],{"code":240,"score":22,"supported":14,"title":330,"abstract":331,"tags":332},[],[],[275],{"code":334,"score":22,"supported":14,"title":335,"abstract":336,"tags":337},"H4",[],[],[273],{"code":339,"score":22,"supported":14,"title":340,"abstract":341,"tags":342},"H8",[],[],[273],[344,345],"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":347,"openalex_id":349,"authors":350,"venue":10,"cited_by_count":62,"oa_url":355,"card":356,"direction":360,"ingested_from":83},"W7221161337",[351,353],{"name":352,"orcid":9},"Wensu Tang",{"name":354,"orcid":9},"Xiaohui Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1880279\u002Fpdf",{"tldr":357,"method":358,"finding":359,"direction":360,"opportunity":361},"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":364,"title":365,"url":366,"summary":367,"summary_zh":368,"content":9,"source_name":10,"source_url":366,"published_at":369,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":138,"score_detail":370,"sources":373,"tags":375,"primary_topic":379,"secondary_topics":380,"classification":381,"search_phrases":393,"slug":396,"view_count":116,"doi":397,"paper":398,"created_at":413},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","2026-09-30T00:00:00Z",{"impact":371,"substance":191,"depth":140,"authority":20,"freshness":21,"relevant":22,"comment":372},16,"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。",[374],{"name":10,"url":366},[376,27,274,377,378],"农村金融","土地经营权","返乡务农",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":382},{"candidates":383,"agricultural_evidence":47},[384,388],{"code":33,"score":46,"supported":47,"title":385,"abstract":386,"tags":387},[],[162],[27,274],{"code":389,"score":22,"supported":14,"title":390,"abstract":391,"tags":392},"G3",[],[],[376],[394,395],"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","10.3389\u002Ffsufs.2026.1912009",{"doi":397,"openalex_id":399,"authors":400,"venue":10,"cited_by_count":62,"oa_url":366,"card":408,"direction":81,"ingested_from":83},"W7214986053",[401,403,405],{"name":402,"orcid":9},"Guanyu Qin",{"name":404,"orcid":9},"Yun Yu",{"name":406,"orcid":407},"Tao Li","https:\u002F\u002Forcid.org\u002F0000-0001-7470-5036",{"tldr":409,"method":410,"finding":411,"direction":81,"opportunity":412},"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。","2026-10-01T23:30:07.372962Z",{"id":415,"title":416,"url":417,"summary":418,"summary_zh":9,"content":9,"source_name":419,"source_url":9,"published_at":420,"category":421,"cover_url":9,"hotness":13,"is_selected":14,"score":422,"score_detail":423,"sources":425,"tags":427,"primary_topic":432,"secondary_topics":433,"classification":434,"search_phrases":458,"slug":461,"view_count":53,"doi":9,"paper":9,"created_at":462},3708,"绥化市绥棱县：五良融合助力粮食丰产丰收","https:\u002F\u002Fhlj.people.com.cn\u002Fn2\u002F2026\u002F0923\u002Fc220005-41705408.html","绥棱县锚定现代化大农业发展目标，统筹推进良法、良制、良种、良田、良机协同发力。土地托管面积达150万亩，覆盖率超71%。双合村全村14800亩旱田全部纳入合作社托管，托管地块大豆每亩增产60斤、玉米每亩增产130斤。","人民网黑龙江","2026-09-23T00:00:00Z","报道",57,{"impact":192,"substance":371,"depth":17,"authority":13,"freshness":46,"relevant":22,"comment":424},"县级五良融合与土地托管实践，数据具体但层级偏地方，时效性一般，可作为主题聚合素材而非每日精选。",[426],{"name":419,"url":417},[428,429,28,430,431],"粮食单产提升","黑龙江农业","五良融合","大豆玉米",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":435},{"candidates":436,"agricultural_evidence":47},[437,442,448,454],{"code":33,"score":438,"supported":47,"title":439,"abstract":440,"tags":441},4,[],[28],[28],{"code":443,"score":53,"supported":47,"title":444,"abstract":445,"tags":447},"A3",[],[446],"玉米",[],{"code":449,"score":53,"supported":47,"title":450,"abstract":451,"tags":453},"A4",[],[452],"大豆",[],{"code":240,"score":22,"supported":14,"title":455,"abstract":456,"tags":457},[],[],[428],[459,460],"绥棱县 土地托管 大豆玉米","绥化 五良融合 粮食增产","绥棱县土地托管大豆玉米-3708","2026-09-29T00:08:20.118266Z"]