[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3758":3,"related-3758":68},{"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":9,"secondary_topics":32,"classification":33,"search_phrases":46,"slug":49,"view_count":50,"doi":51,"paper":52,"created_at":67},3758,"Education spending and agricultural water intensity: evidence from China's grain belt","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1974726","Ratios of water withdrawal to sectoral value added are widely used as indicators of agricultural water-use efficiency, and their correlates are routinely interpreted as levers that enhance efficiency. This paper investigates what such a correlate actually measures. Using a balanced panel of 170 prefecture-level cities in China's 13 major grain-producing provinces from 2005 to 2022, combined with a city-level withdrawal account that disaggregates six water-using sectors, we examine the association between real municipal education spending per capita and agricultural water intensity. Higher real education spending is associated with a lower ratio of agricultural withdrawal to real primary value added. An exact decomposition of this ratio into a technique margin (water per ton of grain) and a composition margin (grain per unit of real value added) reveals that the entire association lies within the composition margin: the technique margin shows no improvement and deteriorates once province-specific annual shocks are absorbed. Grain output is lower where education spending is higher, while real primary value added remains flat, and in the complete withdrawal account, the declining agricultural share is absorbed by public, urban domestic, and ecological uses, with total withdrawal not falling. The association tracks the per-capita scale of the municipal budget, while the education share of city spending carries no association at all. Value-denominated intensity ratios therefore conflate the reorientation of agriculture with the technique by which water is used, and correlates of these ratios should not be interpreted as efficiency levers.","取水量与部门增加值的比值被广泛用作农业用水效率的指标，其相关因素通常被解读为提升效率的杠杆。本文考察了此类相关因素实际衡量的内容。利用2005年至2022年中国13个主要粮食生产省份170个地级市的平衡面板数据，结合将六个用水部门分解的城市级取水账户，我们检验了人均实际市政教育支出与农业用水强度之间的关联。更高的实际教育支出与更低的农业取水量与实第一产业增加值之比相关。将该比值精确分解为技术边际（每吨粮食用水量）和结构边际（单位实第一产业增加值的粮食产量）后可以发现，整个关联完全存在于结构边际之中：技术边际没有改善，且在吸收省份年度冲击后反而恶化。教育支出较高的地方粮食产量较低，而实第一产业增加值保持平稳；在完整的取水账户中，农业份额的下降被公共、城市生活和生态用水所吸收，总取水量并未下降。该关联与市政预算的人均规模相关，而城市支出中教育占比则完全不存在关联。因此，以价值计量的强度比值混淆了农业的重新定位与用水技术，这些比值的相关因素不应被解读为效率杠杆。",null,"Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,8,1,"以170个地级市面板数据拆解农业用水强度指标，指出其反映的是农业结构重定向而非灌溉技术改进，对用水效率类指标的政策解读具有警示价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业经济","粮食主产区","农业用水效率","教育财政","灌溉用水",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":44,"reason":45},[39],{"code":40,"score":22,"supported":14,"title":41,"abstract":42,"tags":43},"A8",[],[],[28],true,"缺少足够的主题证据",[47,48],"中国粮食主产区 农业用水强度","地级市 教育支出 农业用水","中国粮食主产区农业用水强度-3758",3,"10.3389\u002Ffsufs.2026.1974726",{"doi":51,"openalex_id":53,"authors":54,"venue":10,"cited_by_count":59,"oa_url":6,"card":60,"direction":64,"ingested_from":66},"W7214572844",[55,57],{"name":56,"orcid":9},"Meili Zhang",{"name":58,"orcid":9},"Xiuzhi Wang",0,{"tldr":61,"method":62,"finding":63,"direction":64,"opportunity":65},"研究中国粮食主产区教育支出与农业用水强度的关联，发现其仅反映农业经济比重变化而非节水技术。","2005-2022年170个地级市面板数据，分解农业用水强度为技术边际与结构边际","教育支出与农业用水强度负相关完全来自结构边际，技术边际无改善甚至恶化，总取水量未下降。","农业绿色发展与碳","价值型用水强度指标混淆结构与技术，需开发物理量指标并探究教育支出通过非农化影响用水的机制。","openalex","2026-09-29T23:30:06.794516Z",{"total":69,"page":22,"page_size":69,"items":70},6,[71,131,198,253,305,349],{"id":72,"title":73,"url":74,"summary":75,"summary_zh":9,"content":9,"source_name":76,"source_url":9,"published_at":77,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":78,"score_detail":79,"sources":82,"tags":84,"primary_topic":88,"secondary_topics":94,"classification":95,"search_phrases":116,"slug":119,"view_count":59,"doi":120,"paper":121,"created_at":130},5459,"数字乡村建设对农业能源韧性的影响研究 (Research on the Impact of Digital Village Construction on Agricultural Energy Resilience)","https:\u002F\u002Fdoi.org\u002F10.13872\u002Fj.1000-0275.2026.0997","基于2011—2024年30个省份面板数据，三维构建农业能源韧性指标，双向固定效应、中介与门槛模型检验。数字乡村显著提升农业能源韧性，农业社会化服务部分中介，呈单一门槛。粮食主产区与主销区显著。属网络首发。","农业现代化研究（网络首发）2026-10-19","2026-10-19T00:00:00Z",80,{"impact":19,"substance":18,"depth":19,"authority":80,"freshness":21,"relevant":22,"comment":81},14,"基于30省14年面板数据的网络首发论文，方法规范、结论有新意，但属学术细分议题，公共影响有限，可作精选备选。",[83],{"name":76,"url":74},[85,28,86,87],"数字乡村","农业社会化服务","农业能源韧性",{"code":89,"slug":90,"name":91,"path":92,"parent_code":93},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":97},"classified",{"candidates":98,"agricultural_evidence":44},[99,105,112],{"code":89,"score":100,"supported":44,"title":101,"abstract":103,"tags":104},20,[85,102],"digital village",[85],[85],{"code":106,"score":107,"supported":44,"title":108,"abstract":109,"tags":111},"G2",4,[],[110],"社会化服务",[86],{"code":40,"score":22,"supported":14,"title":113,"abstract":114,"tags":115},[],[],[28],[117,118],"数字乡村 农业能源韧性","农业社会化服务 中介效应","数字乡村农业能源韧性-5459","10.13872\u002Fj.1000-0275.2026.0997",{"doi":120,"openalex_id":9,"authors":122,"venue":9,"cited_by_count":59,"oa_url":9,"card":123,"direction":127,"ingested_from":129},[],{"tldr":124,"method":125,"finding":126,"direction":127,"opportunity":128},"基于30省面板数据，检验数字乡村建设对农业能源韧性的提升作用。","2011—2024年30省面板数据，三维构建韧性指标，双向固定效应、中介与门槛模","数字乡村显著提升农业能源韧性，农业社会化服务部分中介，存在单一门槛，主产区与主销区显著。","数字乡村与农业信息化","可延伸研究数字乡村影响农业能源韧性的区域异质机制及社会化服务之外的中介路径。","agent","2026-10-21T00:10:08.067176Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":9,"content":136,"source_name":137,"source_url":9,"published_at":138,"category":139,"cover_url":9,"hotness":13,"is_selected":44,"score":140,"score_detail":141,"sources":147,"tags":149,"primary_topic":154,"secondary_topics":160,"classification":161,"search_phrases":193,"slug":196,"view_count":59,"doi":9,"paper":9,"created_at":197},5409,"前三季度农业经济形势稳中向好 夏粮产量首次突破3000亿斤","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202610\u002Ft20261020_8877382.htm","国家统计局农村社会经济调查司司长发布前三季度农业经济形势：全国夏粮产量3014.9亿斤，首次突破3000亿斤，比上年增加20.0亿斤、增长0.7%；早稻565.8亿斤、下降0.8%。前三季度猪牛羊禽肉产量7627万吨、增长4.3%，猪肉产量4508万吨、增长3.2%，能繁母猪存栏降至正常保有量的96.0%。农产品生产者价格同比下降2.4%，生猪价格降幅达22.1%，玉米价格连续四个季度上涨。这组数据是判断全年粮食形势与养殖利润、进而评估智慧农情监测与产能调控政策空间的基准。","前三季度，全国农产品生产者价格同比下降2.4%。其中，一季度下降2.4%，二季度下降3.0%，三季度下降2.1%。分类别看，农业产品价格下降0.4%，林业产品价格持平，饲养动物及其产品价格下降6.8%，渔业产品价格略降0.2%。分品种看，谷物价格同比上涨0.6%，其中，玉米价格上涨3.3%，连续四个季度上涨，小麦价格下降1.9%，稻谷价格下降0.8%；蔬菜价格下降0.7%，水果下降2.4%，油料下降1.9%；活牛价格上涨8.8%，连续六个季度上涨；活羊价格上涨7.6%，连续五个季度上涨；禽蛋价格上涨10.2%，牛奶价格上涨0.4%，生猪价格下降22.1%。\n\n9月末，农产品集贸市场价格总体平稳。粮食价格平稳运行，籼稻、粳稻价格环比均上涨0.5%，小麦价格持平，玉米价格下降1.0%，大豆价格下降0.4%。畜禽产品价格以涨为主，活牛、活羊、活鸡、鸡蛋价格分别上涨2.7%、1.6%、1.0%和1.8%，生猪价格下降1.0%。蔬菜价格有涨有跌，水果价格以降为主。（作者系国家统计局农村社会经济调查司司长）","中国农业农村信息网 2026-10-20","2026-10-20T00:00:00Z","报道",90,{"impact":142,"substance":143,"depth":17,"authority":144,"freshness":145,"relevant":22,"comment":146},27,23,15,9,"国家统计局权威发布的前三季度农业经济数据，含夏粮首破3000亿斤等关键结论，信息增量与影响层级高，值得进入每日精选。",[148],{"name":137,"url":134},[27,150,151,152,153],"粮食安全","夏粮产量","生猪产能","农产品价格",{"code":155,"slug":156,"name":157,"path":158,"parent_code":159},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":162},{"candidates":163,"agricultural_evidence":44},[164,170,177,183,189],{"code":155,"score":165,"supported":44,"title":166,"abstract":168,"tags":169},11,[167],"夏粮",[167],[],{"code":171,"score":69,"supported":44,"title":172,"abstract":173,"tags":176},"C1",[],[174,175],"生猪","母猪",[],{"code":178,"score":50,"supported":44,"title":179,"abstract":180,"tags":182},"A3",[],[181],"玉米",[],{"code":184,"score":50,"supported":44,"title":185,"abstract":186,"tags":188},"I3",[],[187],"农情监测",[],{"code":40,"score":22,"supported":14,"title":190,"abstract":191,"tags":192},[],[],[150],[194,195],"夏粮产量 3000亿斤","农产品生产者价格 生猪价格","夏粮产量3000亿斤-5409","2026-10-21T00:09:53.943250Z",{"id":199,"title":200,"url":201,"summary":202,"summary_zh":203,"content":9,"source_name":10,"source_url":201,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":208,"tags":210,"primary_topic":214,"secondary_topics":219,"classification":220,"search_phrases":235,"slug":238,"view_count":59,"doi":239,"paper":240,"created_at":252},5070,"Threshold effects in exchange rate pass-through to food prices in emerging market economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1960606","Whether food price movements in emerging market economies are associated more closely with energy costs or exchange rate fluctuations is an important question for food security policy. This study examines this issue using a balanced monthly panel of 17 emerging market economies from January 2006 to December 2023. Country-specific cumulative pass-through coefficients are first estimated and then examined in relation to observable structural characteristics. State dependence is assessed using a threshold specification based on observed 12-month food inflation, complemented by quantile regressions across the conditional distribution. The results indicate considerable heterogeneity in exchange rate pass-through across countries. The mean cumulative coefficient is 0.213, with individual estimates ranging from −0.012 to 0.807. Pass-through also appears to vary with the inflation environment. Threshold estimates suggest a transition point between 6.8 and 7.6 percent annual food inflation, above which the response of food prices to exchange rate movements tends to become stronger. Within-country mean-group estimates provide further support for this interpretation, suggesting that the observed regime differences are not solely attributable to country composition. The estimated effect is higher in the high-inflation state in all eight economies for which both states can be reliably estimated. By comparison, the cumulative effect of crude oil prices is modest: 0.008 over 6 months, which is not statistically distinguishable from zero, rising to 0.064 over 18 months and becoming statistically detectable. The results do not provide consistent evidence of comparable state dependence in either the energy price or global commodity price channel. Similarly, structural indicators such as food import dependence, energy dependence, and fertilizer import dependence do not appear to account systematically for cross-country variation in pass-through. Overall, the findings suggest that exchange rate movements may play a relatively greater role in consumer food price dynamics than energy price movements in the emerging market economies considered, particularly during periods of elevated food inflation. The results also suggest that macro-financial stability may be relevant for food price stabilization and that the effectiveness of trade-based policy measures may depend on the relative importance of exchange rate transmission.","对于新兴市场经济体的粮食价格波动与能源成本还是汇率波动关联更密切，这是粮食安全政策的一个重要问题。本研究利用2006年1月至2023年12月17个新兴市场经济体的平衡月度面板数据考察了这一问题。首先估计了各国特定的累积传递系数，然后考察其与可观测结构性特征的关系。状态依赖性通过基于观测到的12个月粮食通胀率的阈值设定进行评估，并辅以条件分布上的分位数回归。结果表明，汇率传递在不同国家之间存在相当大的异质性。平均累积系数为0.213，各国估计值从−0.012到0.807不等。传递效应似乎也随通胀环境而变化。阈值估计表明，年度粮食通胀率在6.8%至7.6%之间存在一个转变点，高于该点时粮食价格对汇率波动的反应趋于增强。组内均值组估计进一步支持了这一解释，表明所观察到的状态差异并非仅归因于国家构成。在能够可靠估计两种状态的八个经济体中，高通胀状态下的估计效应均更高。相比之下，原油价格的累积效应较为有限：6个月内为0.008，与零无统计显著差异，18个月内升至0.064并具有统计可检测性。结果并未提供一致证据表明能源价格渠道或全球商品价格渠道存在类似的状态依赖性。同样，粮食进口依赖度、能源依赖度和化肥进口依赖度等结构性指标似乎也无法系统性地解释传递效应的跨国差异。总体而言，研究结果表明，在所考察的新兴市场经济体中，汇率波动在消费者粮食价格动态中可能比能源价格波动发挥相对更大的作用，尤其是在粮食通胀高企时期。结果还表明，宏观金融稳定可能与粮食价格稳定相关，而贸易类政策措施的有效性可能取决于汇率传递的相对重要性。","2026-10-15T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":207},"基于17个新兴市场国家2006—2023年月度面板数据，发现食品通胀6.8%—7.6%的门槛效应，对粮食安全与宏观政策有参考价值，但属学术论文，公共传播性有限。",[209],{"name":10,"url":201},[27,150,211,212,213],"食品价格","新兴市场","汇率传导",{"code":40,"slug":215,"name":216,"path":217,"parent_code":218},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":221},{"candidates":222,"agricultural_evidence":44},[223,229],{"code":40,"score":224,"supported":44,"title":225,"abstract":226,"tags":228},7,[],[150,227],"food security",[150],{"code":230,"score":50,"supported":44,"title":231,"abstract":232,"tags":234},"F3",[],[233],"fertilizer",[],[236,237],"新兴市场 汇率传导 食品价格","食品通胀 门槛效应","新兴市场汇率传导食品价格-5070","10.3389\u002Ffsufs.2026.1960606",{"doi":239,"openalex_id":241,"authors":242,"venue":10,"cited_by_count":59,"oa_url":201,"card":246,"direction":250,"ingested_from":66},"W7222138848",[243],{"name":244,"orcid":245},"Fatma İlknur ÜNÜVAR","https:\u002F\u002Forcid.org\u002F0000-0001-5371-8604",{"tldr":247,"method":248,"finding":249,"direction":250,"opportunity":251},"研究17个新兴市场汇率对食品价格的传递效应及其通胀阈值。","2006-2023年月度面板，阈值回归与分位数回归估计传递系数。","汇率传递异质性大，食品通胀超6.8%-7.6%后传递显著增强，油价影响微弱。","农业人工智能与决策模型","可结合宏观金融稳定与食品通胀阈值，研究汇率传递对粮食安全政策与贸易措施有效性的影响。","2026-10-16T23:30:06.270998Z",{"id":254,"title":255,"url":256,"summary":257,"summary_zh":9,"content":9,"source_name":258,"source_url":256,"published_at":259,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":260,"score_detail":261,"sources":264,"tags":266,"primary_topic":9,"secondary_topics":270,"classification":271,"search_phrases":279,"slug":282,"view_count":22,"doi":283,"paper":284,"created_at":304},4865,"Structural heterogeneity shapes economic resilience and ecosystem-service trade-offs in Mediterranean Montado agroecosystems: a farm-level bioeconomic analysis","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105014","Structural heterogeneity shapes economic resilience and ecosystem-service trade-offs in Mediterranean Montado agroecosystems: a farm-level bioeconomic analysis。Agricultural Systems","Agricultural Systems","2026-10-13T00:00:00Z",68,{"impact":21,"substance":100,"depth":262,"authority":80,"freshness":145,"relevant":22,"comment":263},17,"发表于核心期刊的农场级生物经济分析，方法新颖、结论可靠，但属区域案例研究，公共影响范围有限。",[265],{"name":258,"url":256},[27,267,268,269],"生态系统服务","农林复合系统","地中海农业",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":272},{"candidates":273,"agricultural_evidence":44,"reason":45},[274],{"code":275,"score":22,"supported":14,"title":276,"abstract":277,"tags":278},"H6",[],[],[267],[280,281],"Montado 农林复合系统","地中海 农业生态系统 经济韧性","Montado农林复合系统-4865","10.1016\u002Fj.agsy.2026.105014",{"doi":283,"openalex_id":285,"authors":286,"venue":258,"cited_by_count":59,"oa_url":256,"card":9,"direction":9,"ingested_from":66},"W7221619751",[287,289,292,295,298,301],{"name":288,"orcid":9},"Nour-Elhouda Fatahi",{"name":290,"orcid":291},"Seyed-Ali Hosseini-Yekani","https:\u002F\u002Forcid.org\u002F0000-0003-0730-2864",{"name":293,"orcid":294},"Teresa Pinto‐Correia","https:\u002F\u002Forcid.org\u002F0000-0001-5052-6041",{"name":296,"orcid":297},"Maria de Belém Costa Freitas","https:\u002F\u002Forcid.org\u002F0000-0001-7645-7099",{"name":299,"orcid":300},"João Tiago Marques","https:\u002F\u002Forcid.org\u002F0000-0001-5819-4619",{"name":302,"orcid":303},"Hatem Belhouchette","https:\u002F\u002Forcid.org\u002F0000-0002-4498-0392","2026-10-14T23:30:04.219109Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":9,"content":310,"source_name":311,"source_url":9,"published_at":312,"category":139,"cover_url":9,"hotness":13,"is_selected":14,"score":313,"score_detail":314,"sources":316,"tags":318,"primary_topic":323,"secondary_topics":329,"classification":330,"search_phrases":343,"slug":346,"view_count":347,"doi":9,"paper":9,"created_at":348},4461,"中国农科院农经所毛世平团队提出农业科技创新与产业创新深度融合实现路径","https:\u002F\u002Fiaed.caas.cn\u002Fxwzx\u002Fkyjz\u002F52479f2258084bb28325075446e87095.htm","中国农业科学院农业经济与发展研究所毛世平研究员、谢艳乐助理研究员等撰写的《农业科技创新和产业创新何以实现深度融合——来自广东省农业科技院地合作的经验证据》在《农业经济问题》发表；构建农业科技创新和产业创新深度融合的理论分析框架，探明创新环境—创新资源—创新主体—创新产品深度融合的逻辑链条；研究得到中国农业科学院科技创新工程数字经济与农业产业转型发展研究项目资助。","推动农业科技创新和产业创新深度融合是乡村全面振兴的重要内容，对加快实现高水平农业科技自立自强、建设农业强国具有重要意义。近日，农经所毛世平研究员、谢艳乐助理研究员等合作撰写的文章《农业科技创新和产业创新何以实现深度融合——来自广东省农业科技“院地合作”的经验证据》在学术期刊《农业经济问题》上发表。文章基于创新生态系统理论视角，构建了农业科技创新和产业创新深度融合的理论分析框架，探明了农业科技创新和产业创新深度融合的内在逻辑及作用机制，并以广东省农业科技“院地合作”为典型案例，进一步检验了农业科技创新和产业创新深度融合的作用关系。\n\n研究发现，农业科技创新和产业创新深度融合遵循创新环境、创新资源、创新主体和创新产品深度融合的逻辑链条，且农业科技创新主要通过要素配置与重组、技术突破与扩散驱动农业产业创新；农业产业创新主要通过要素投入与优化、市场牵引与倒逼反哺农业科技创新。广东省农业科技“院地合作”通过实施协同创新，夯实“院地合作”的环境基础；创新工作平台，优化“院地合作”的资源投入；推动人才下沉，拓宽“院地合作”的主体来源；完善全链服务，健全“院地合作”的产品机制。为此，文章从强化农业科产并重的政策导向、整合农业创新效能提升的要素投入、完善农业协同创新的发展模式、优化农业科产成果的转化方式等方面，提出农业科技创新和产业创新深度融合的实现路径。\n\n农经所技术经济与科技政策创新团队毛世平研究员为论文第一作者，广东省农业科学院农业经济与信息研究所周灿芳研究员为通讯作者。该研究得到中国农业科学院科技创新工程项目“数字经济与农业产业转型发展研究”（编号：10-IAED-RC-03-2026-2）； 广东省农业科学院院地（企）合作机制机理及服务百千万工程研究（编号：CYZX202402）； 中央级公益性科研院所基本科研业务费专项（编号:1610052026011-6）； 财政部和农业农村部国家现代农业（西甜瓜）产业技术体系项目（编号：CARS-26）的资助。\n\n原文链接：\n\n[https:\u002F\u002Fkns.cnki.net\u002Fkcms2\u002Farticle\u002Fabstract?v=VNVtbp4NFXfG_sQvF8IYl4fvqVxvaYbQ7gT8fa_qthdylhws1SRF_XIE7DLBRAH-aJw6qzMH1oNfBNUIiN4i263sP12GfqIR54igLh1VvvO8yPLu_dxHoWAzpRZwww66W21B9SHFXBOGJ2vSIN-Ozhm5XeMBIqfLpI-cSGLrjKFngR0Q1Hc9OQ==](https:\u002F\u002Fkns.cnki.net\u002Fkcms2\u002Farticle\u002Fabstract?v=VNVtbp4NFXfG_sQvF8IYl4fvqVxvaYbQ7gT8fa_qthdylhws1SRF_XIE7DLBRAH-aJw6qzMH1oNfBNUIiN4i263sP12GfqIR54igLh1VvvO8yPLu_dxHoWAzpRZwww66W21B9SHFXBOGJ2vSIN-Ozhm5XeMBIqfLpI-cSGLrjKFngR0Q1Hc9OQ==)","中国农业科学院农业经济与发展研究所 2026-10-08","2026-10-08T00:00:00Z",78,{"impact":19,"substance":100,"depth":262,"authority":80,"freshness":145,"relevant":22,"comment":315},"国家级科研机构在核心期刊发表的理论与案例研究，提出科产融合路径，专业性强但属学术成果，公共影响中等。",[317],{"name":311,"url":308},[27,319,320,321,322],"成果转化","农业科技创新","科产融合","院地合作",{"code":324,"slug":325,"name":326,"path":327,"parent_code":328},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer","G",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":331},{"candidates":332,"agricultural_evidence":44},[333,338],{"code":324,"score":334,"supported":44,"title":335,"abstract":336,"tags":337},5,[],[322],[319,322],{"code":339,"score":22,"supported":14,"title":340,"abstract":341,"tags":342},"J2",[],[],[320],[344,345],"毛世平 农业科技创新 产业创新","广东 院地合作 农业科技","毛世平农业科技创新产业创新-4461",2,"2026-10-09T00:04:56.242804Z",{"id":350,"title":351,"url":352,"summary":353,"summary_zh":354,"content":9,"source_name":10,"source_url":352,"published_at":355,"category":12,"cover_url":9,"hotness":13,"is_selected":44,"score":356,"score_detail":357,"sources":359,"tags":361,"primary_topic":366,"secondary_topics":370,"classification":371,"search_phrases":387,"slug":390,"view_count":347,"doi":391,"paper":392,"created_at":411},4331,"Does rural land transfer promote high-quality agriculture development? Empirical evidence from 30 provinces in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940003","As a fundamental pathway toward agricultural-scale operations, rural land transfer (RLT) has emerged as an important institutional mechanism for promoting high-quality agricultural development (HQAD). However, how to effectively unleash the productive potential of land resources and align RLT with the objectives of high-quality development remains an important research question. Treating the 2010 national regulatory intensification of rural land transfer as a common policy milestone, this study employs a continuous difference-in-differences (DID) model and a mediating effect model to examine the relationship between RLT intensity and HQAD and to explore the potential transmission role of new agricultural business entities (NABE). The results show that the overall level of HQAD in China has steadily improved, although substantial spatial and temporal disparities remain, with HQAD generally decreasing from the eastern to the central and western regions. The continuous DID estimates indicate a significant positive association between RLT intensity and HQAD after the 2010 national regulatory-intensification milestone, and this relationship remains stable across the reported robustness checks. The mediation analysis provides evidence consistent with a potential transmission pathway through new agricultural business entities (NABE). Furthermore, the estimated association between RLT intensity and HQAD is stronger in the central region and in non-major grain-producing areas.","作为农业规模化经营的基础路径，农地流转(rural land transfer, RLT)已成为推动农业高质量发展(high-quality agricultural development, HQAD)的重要制度安排。然而，如何有效释放土地资源的生产潜力，使农地流转与高质量发展目标相契合，仍是一个重要的研究问题。本研究以2010年国家加强农地流转监管为共同政策节点，采用连续型双重差分(continuous difference-in-differences, DID)模型和中介效应模型，考察农地流转强度与农业高质量发展之间的关系，并探讨新型农业经营主体(new agricultural business entities, NABE)可能的中介传导作用。结果表明，中国农业高质量发展总体水平稳步提升，但仍存在显著的空间和时间差异，农业高质量发展水平总体呈东、中、西部递减态势。连续型双重差分估计表明，在2010年国家加强监管这一政策节点之后，农地流转强度与农业高质量发展之间存在显著正相关关系，且该关系在各项稳健性检验中保持稳定。中介分析提供了与新型农业经营主体潜在传导路径相一致的证据。此外，农地流转强度与农业高质量发展之间的估计关联在中部地区和非粮食主产区更强。","2026-10-06T00:00:00Z",81,{"impact":19,"substance":18,"depth":19,"authority":80,"freshness":145,"relevant":22,"comment":358},"基于30省面板数据的连续DID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动态，适合主题聚合而非头条精选。",[360],{"name":10,"url":352},[362,363,28,364,365],"农业高质量发展","新型农业经营主体","双重差分","土地流转",{"code":106,"slug":367,"name":368,"path":369,"parent_code":328},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":372},{"candidates":373,"agricultural_evidence":44},[374,379,383],{"code":106,"score":20,"supported":44,"title":375,"abstract":377,"tags":378},[376],"land transfer",[376],[365,363],{"code":40,"score":22,"supported":14,"title":380,"abstract":381,"tags":382},[],[],[28],{"code":339,"score":22,"supported":14,"title":384,"abstract":385,"tags":386},[],[],[362],[388,389],"农村土地流转 农业高质量发展","新型农业经营主体 中介效应","农村土地流转农业高质量发展-4331","10.3389\u002Ffsufs.2026.1940003",{"doi":391,"openalex_id":393,"authors":394,"venue":10,"cited_by_count":59,"oa_url":405,"card":406,"direction":127,"ingested_from":66},"W7220726312",[395,397,399,401,403],{"name":396,"orcid":9},"Tian Tian",{"name":398,"orcid":9},"Jiawei Yang",{"name":400,"orcid":9},"Tong Yu",{"name":402,"orcid":9},"李孟然",{"name":404,"orcid":9},"Zhen Xie","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1940003\u002Fpdf",{"tldr":407,"method":408,"finding":409,"direction":127,"opportunity":410},"用连续DID和中介模型检验农村土地流转对农业高质量发展的影响及新型经营主体的中介作用。","2010年政策节点，连续DID与中介效应模型，中国30省面板数据。","土地流转显著促进农业高质量发展，新型经营主体起中介作用，中西部及非主产区效应更强。","可结合数字技术或信息化服务，探究土地流转通过新型经营主体推动农业高质量发展的数字化路径。","2026-10-07T23:30:06.424093Z"]