[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4805":3,"related-4805":104},{"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":74,"slug":77,"view_count":78,"doi":79,"paper":80,"created_at":103},4805,"How much climate-smart agriculture is enough? A dose-response analysis of technology adoption effects on farmer welfare in Ghana","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pclm.0000886","Climate-smart agricultural technologies (CSAT) are promoted to enhance agricultural productivity and strengthen resilience to climate change. However, limited empirical evidence exists on the effects of adoption intensity, particularly when farmers adopt multiple technologies simultaneously. This study examines the effects of CSAT adoption intensity on maize yield and household asset accumulation in Ghana using survey data from 2,151 maize farmers. A dose–response model with Heckman selection is applied to address potential selection bias and estimate the causal effects of varying adoption levels. The findings show that farmers’ education, access to credit, extension services, and perceived drought significantly influence both the likelihood and intensity of CSAT adoption. Results reveal a U-shaped relationship between CSAT adoption intensity and maize yield, where yields initially decline but increase as adoption intensity rises. On average, higher CSAT adoption is associated with a 21% increase in maize yield. Similarly, CSAT intensity shows a nonlinear positive relationship with household asset accumulation, with an average 19.5% increase in assets. The results also indicate heterogeneous effects across farmers. Overall, higher CSAT adoption improves agricultural productivity and long-term household welfare, highlighting the need to strengthen extension services, expand credit access, and raise climate risk awareness to promote sustainable agricultural development.","气候智能型农业技术(CSAT)被推广用于提高农业生产力和增强对气候变化的适应能力。然而，关于采用强度的效应，尤其是当农民同时采用多项技术时，实证证据仍然有限。本研究利用来自加纳2151户玉米种植户的调查数据，考察了气候智能型农业技术采用强度对玉米产量和家庭资产积累的影响。研究采用带Heckman选择的剂量—反应模型来处理潜在的选择偏差，并估计不同采用水平的因果效应。研究结果表明，农民的受教育程度、信贷可得性、推广服务以及感知到的干旱显著影响其采用气候智能型农业技术的可能性和强度。结果揭示了气候智能型农业技术采用强度与玉米产量之间呈U型关系，即产量最初下降，但随着采用强度的提高而增加。平均而言，较高的气候智能型农业技术采用与玉米产量提高21%相关。同样，气候智能型农业技术采用强度与家庭资产积累呈非线性正相关关系，资产平均增加19.5%。结果还表明，不同农民之间存在异质性效应。总体而言，较高的气候智能型农业技术采用提高了农业生产力和长期家庭福利，凸显了加强推广服务、扩大信贷获取渠道和提高气候风险意识的必要性，以促进农业可持续发展。",null,"PLOS Climate","2026-10-12T00:00:00Z","论文",10,false,79,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,14,9,1,"基于2151户加纳玉米农户的剂量反应分析，揭示气候智慧农业技术采纳强度与产量、资产的U型及非线性关系，方法扎实、数据规模可观，对技术推广强度决策有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候智慧农业","加纳","技术采纳","玉米产量","农户福利",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,54,61,69],{"code":33,"score":13,"supported":46,"title":47,"abstract":48,"tags":53},true,[],[49,50,51,52],"气候变化","干旱","climate change","drought",[27],{"code":55,"score":56,"supported":46,"title":57,"abstract":59,"tags":60},"I1",8,[58],"smart agriculture",[],[],{"code":62,"score":63,"supported":46,"title":64,"abstract":65,"tags":68},"A3",6,[],[66,67],"玉米","maize",[],{"code":70,"score":22,"supported":14,"title":71,"abstract":72,"tags":73},"G1",[],[],[29],[75,76],"加纳 气候智慧农业 玉米","气候智慧农业 农户福利 技术采纳 玉米产量","加纳气候智慧农业玉米-4805",0,"10.1371\u002Fjournal.pclm.0000886",{"doi":79,"openalex_id":81,"authors":82,"venue":10,"cited_by_count":78,"oa_url":6,"card":95,"direction":101,"ingested_from":102},"W7221536273",[83,86,89,92],{"name":84,"orcid":85},"Stephen Prah","https:\u002F\u002Forcid.org\u002F0000-0002-0482-087X",{"name":87,"orcid":88},"John N. Ng’ombe","https:\u002F\u002Forcid.org\u002F0000-0002-1410-1350",{"name":90,"orcid":91},"Bright Owusu Asante","https:\u002F\u002Forcid.org\u002F0000-0002-5415-6110",{"name":93,"orcid":94},"Jonathan Masasi","https:\u002F\u002Forcid.org\u002F0009-0007-8855-783X",{"tldr":96,"method":97,"finding":98,"direction":99,"opportunity":100},"基于加纳2151户玉米农户，分析气候智慧型技术采纳强度对产量与家庭资产的影响。","剂量反应模型结合Heckman选择，处理采纳强度与选择偏差。","采纳强度与产量呈U型关系，高强度采纳使产量增21%、资产增19.5%。","农业人工智能与决策模型","可探究不同技术组合的剂量阈值与异质性，为精准推广策略提供依据。","智慧农业 \u002F 农业物联网","openalex","2026-10-13T23:30:09.001081Z",{"total":63,"page":22,"page_size":63,"items":105},[106,180,275,347,425,494],{"id":107,"title":108,"url":109,"summary":110,"summary_zh":111,"content":9,"source_name":112,"source_url":109,"published_at":113,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":114,"score_detail":115,"sources":117,"tags":119,"primary_topic":123,"secondary_topics":124,"classification":125,"search_phrases":156,"slug":159,"view_count":78,"doi":160,"paper":161,"created_at":179},5143,"Crop diversification as a climate-smart agriculture strategy and household welfare in Nigeria: evidence from living standard measurement survey","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957540","Crop diversification is a climate-smart agriculture (CSA) practice with well-documented yield and agroecological benefits, but rigorous, nationally representative evidence on its welfare impacts in Nigeria remains scarce. This study examined the determinants and welfare effects of crop diversification adoption among 3,229 farm households, using the fourth wave of Nigeria’s Living Standard Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). A probit model identified the determinants of adoption, and an endogenous switching regression (ESR) model, which corrects for selection bias arising from observed and unobserved heterogeneity, estimated the causal impact of adoption on household per capita consumption expenditure and dietary diversity. About 1,846 households (57%) adopted crop diversification. Household size, farm size, age of household head, distance to road, fertilizer use, and temperature exposure significantly increased the probability of adoption, while education, distance to market, access to finance, and rainfall shock significantly reduced it. Adoption increased per capita consumption expenditure by an average treatment effect of 0.72 log points and household dietary diversity scores by 2.03 points among adopters, effects that are large relative to national poverty and dietary diversity benchmarks. These results indicate that limited market access, credit products tied to specialized cropping, and climate shocks jointly suppress adoption. Government agricultural and nutrition agencies should jointly fund a targeted program that redesigns credit products to support diversified cropping, pairs rural road investment with market access, and bundles diversification advice with climate information and weather-index insurance in drought-prone areas.","作物多样化是一种气候智能型农业（climate-smart agriculture, CSA）实践，其产量和农业生态效益已有充分文献记载，但关于其在尼日利亚福利影响的严格、具有全国代表性的证据仍然匮乏。本研究利用尼日利亚第四轮生活标准测量研究——农业综合调查（LSMS-ISA），考察了3 229户农户采用作物多样化的决定因素及其福利效应。采用Probit模型识别采用行为的决定因素，并运用内生转换回归（endogenous switching regression, ESR）模型——该模型校正了由可观测和不可观测异质性引起的选择偏误——估计采用行为对家庭人均消费支出和膳食多样性的因果影响。约1 846户（57%）采用了作物多样化。家庭规模、农场规模、户主年龄、距道路距离、化肥使用和温度暴露显著提高了采用概率，而教育、距市场距离、融资可得性和降雨冲击显著降低了采用概率。采用作物多样化使采用者的人均消费支出平均处理效应提高0.72个对数点，家庭膳食多样性得分提高2.03分，相对于国家贫困和膳食多样性基准而言，这些效应较大。上述结果表明，市场准入受限、与专业化种植挂钩的信贷产品以及气候冲击共同抑制了采用行为。政府农业和营养机构应联合资助一项有针对性的计划，重新设计信贷产品以支持多样化种植，将农村道路投资与市场准入相结合，并在干旱易发地区将多样化建议与气候信息和天气指数保险捆绑推广。","Frontiers in Sustainable Food Systems","2026-10-16T00:00:00Z",81,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":116},"基于全国代表性农户调查的因果识别研究，方法扎实、结论对气候智慧农业与农村信贷政策有参考价值，但属他国经验，影响层级限于细分领域。",[118],{"name":112,"url":109},[27,120,121,31,122],"尼日利亚","农业信贷","作物多样化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":126},{"candidates":127,"agricultural_evidence":46},[128,133,138,145,151],{"code":55,"score":129,"supported":46,"title":130,"abstract":131,"tags":132},11,[58],[58],[],{"code":33,"score":134,"supported":46,"title":135,"abstract":136,"tags":137},7,[],[50,52],[27],{"code":139,"score":140,"supported":46,"title":141,"abstract":142,"tags":144},"F3",3,[],[143],"fertilizer",[],{"code":146,"score":140,"supported":46,"title":147,"abstract":148,"tags":150},"H6",[],[149],"农业生态",[],{"code":152,"score":22,"supported":14,"title":153,"abstract":154,"tags":155},"G3",[],[],[121],[157,158],"尼日利亚 作物多样化 农户福利","LSMS-ISA 气候智慧农业","尼日利亚作物多样化农户福利-5143","10.3389\u002Ffsufs.2026.1957540",{"doi":160,"openalex_id":162,"authors":163,"venue":112,"cited_by_count":78,"oa_url":172,"card":173,"direction":101,"ingested_from":102},"W7222656886",[164,167,170],{"name":165,"orcid":166},"Robert Ugochukwu Onyeneke","https:\u002F\u002Forcid.org\u002F0000-0002-9242-901X",{"name":168,"orcid":169},"Chukwuemeka Chinonso Emenekwe","https:\u002F\u002Forcid.org\u002F0000-0001-7099-5056",{"name":171,"orcid":9},"Chinedum Uzoma Nwajiuba","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1957540\u002Fpdf",{"tldr":174,"method":175,"finding":176,"direction":177,"opportunity":178},"用尼日利亚全国农户调查数据评估作物多样化对家庭福利的因果影响。","基于LSMS-ISA 3229户数据，用Probit与内生转换回归模型。","采用率57%，多样化使人均消费支出提高0.72对数点、膳食多样性提高2.03分。","数字乡村与农业信息化","可结合气候信息与气象指数保险服务，研究数字农技推广如何促进多样化采纳与福利提升。","2026-10-17T23:30:06.860811Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":185,"content":9,"source_name":112,"source_url":183,"published_at":186,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":187,"score_detail":188,"sources":192,"tags":194,"primary_topic":198,"secondary_topics":204,"classification":206,"search_phrases":253,"slug":256,"view_count":140,"doi":257,"paper":258,"created_at":274},3148,"Factors influencing the adoption of climate-smart agriculture practices among smallholder farmers in Melani and Msobomvu villages, Eastern Cape Province","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1869050","Climate-Smart Agriculture (CSA) is widely recognised as an effective approach for improving agricultural productivity, strengthening resilience to climate change, and enhancing food security among small-scale farmers. However, the adoption of CSA practices remains uneven in many rural communities, including Melani and Msobomvu villages in the Raymond Mhlaba Local Municipality, Eastern Cape Province, South Africa. This study investigated farmers’ awareness and understanding of climate-smart agriculture practices, identified the barriers limiting CSA adoption, and examined the socio-economic and institutional factors influencing adoption decisions. A descriptive research design within a quantitative research approach was employed. Data were collected from 158 randomly selected small-scale farmers using a structured questionnaire and analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. One-Way Analysis of Variance (ANOVA) was used to determine the significance of selected socio-economic and institutional factors influencing CSA adoption. The findings revealed that respondents generally possessed a good awareness and understanding of climate-smart agriculture practices, although awareness differed across technologies. Rainwater harvesting (80%), crop diversification (71%), conservation agriculture (68%), and soil conservation (68%) recorded the highest levels of awareness, whereas awareness was comparatively lower for drought-tolerant crop varieties (57%), climate information services (55%), and improved livestock management (49%). The study further identified farmer resistance to change, inadequate financial resources, and limited extension materials as the major barriers limiting CSA adoption. One-Way ANOVA indicated that financial constraints, market access, knowledge of climate-smart agriculture technologies, and extension support were statistically significant factors influencing adoption decisions ( p \u003C 0.05).","气候智慧型农业（Climate-Smart Agriculture, CSA）被广泛认为是提高农业生产率、增强气候变化适应能力以及改善小农户粮食安全的有效途径。然而，在许多农村社区，包括南非东开普省雷蒙德·姆拉巴地方自治市内的梅拉尼和姆索博姆武两个村庄，气候智慧型农业实践的采用仍然不均衡。本研究调查了农民对气候智慧型农业实践的认识和理解，识别了限制气候智慧型农业采用的障碍，并考察了影响采用决策的社会经济与制度因素。研究采用定量研究路径下的描述性研究设计，通过结构化问卷从158名随机选取的小农户中收集数据，并运用描述性统计方法（包括频数、百分比、均值和标准差）进行分析。采用单因素方差分析（One-Way ANOVA）确定所选社会经济与制度因素对气候智慧型农业采用影响的显著性。研究结果表明，受访者总体上对气候智慧型农业实践具有较好的认识和理解，但不同技术之间的认知水平存在差异。雨水收集（80%）、作物多样化（71%）、保护性农业（68%）和土壤保持（68%）的认知度最高，而耐旱作物品种（57%）、气候信息服务（55%）和改良牲畜管理（49%）的认知度相对较低。研究进一步识别出农民对变革的抵触、资金资源不足以及推广材料有限是限制气候智慧型农业采用的主要障碍。单因素方差分析表明，资金约束、市场准入、气候智慧型农业技术知识和推广支持是影响采用决策的统计显著因素（p \u003C 0.05）。","2026-09-21T00:00:00Z",63,{"impact":56,"substance":19,"depth":189,"authority":190,"freshness":21,"relevant":22,"comment":191},15,13,"以南非东开普省两个村庄158户小农为样本，量化了气候智慧农业采纳的显著影响因素，方法规范、数据具体，但属区域案例研究，公共影响层级有限。",[193],{"name":112,"url":183},[195,27,29,196,197],"小农户","南非农业","推广服务",{"code":199,"slug":200,"name":201,"path":202,"parent_code":203},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[205],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":207},{"candidates":208,"agricultural_evidence":46},[209,215,219,223,230,237,243,249],{"code":199,"score":210,"supported":46,"title":211,"abstract":213,"tags":214},12,[212],"smallholder",[195],[195],{"code":55,"score":129,"supported":46,"title":216,"abstract":217,"tags":218},[58],[58],[],{"code":33,"score":13,"supported":46,"title":220,"abstract":221,"tags":222},[],[49,51,52],[27],{"code":224,"score":63,"supported":46,"title":225,"abstract":226,"tags":229},"A8",[],[227,228],"粮食安全","food security",[],{"code":231,"score":63,"supported":46,"title":232,"abstract":233,"tags":236},"H2",[],[234,235],"土壤","soil",[],{"code":238,"score":140,"supported":46,"title":239,"abstract":240,"tags":242},"C",[],[241],"livestock",[],{"code":244,"score":140,"supported":46,"title":245,"abstract":246,"tags":248},"H8",[],[247],"conservation agriculture",[],{"code":70,"score":22,"supported":14,"title":250,"abstract":251,"tags":252},[],[],[29],[254,255],"Eastern Cape 小农户 气候智慧农业","Raymond Mhlaba 农业技术采纳","EasternCape小农户气候智慧农业-3148","10.3389\u002Ffsufs.2026.1869050",{"doi":257,"openalex_id":259,"authors":260,"venue":112,"cited_by_count":78,"oa_url":183,"card":269,"direction":101,"ingested_from":102},"W7213921129",[261,263,266],{"name":262,"orcid":9},"Sibonise Lufume",{"name":264,"orcid":265},"L. Gwala","https:\u002F\u002Forcid.org\u002F0000-0002-0186-050X",{"name":267,"orcid":268},"Leocadia Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-0344-4710",{"tldr":270,"method":271,"finding":272,"direction":177,"opportunity":273},"研究南非东开普省小农户对气候智慧型农业的认知、障碍及影响因素。","对158户小农问卷调查，用描述统计与单因素方差分析。","农户认知较高但采用不均，资金、市场、知识与推广支持显著影响采用。","可探索气候信息服务与推广数字化如何降低小农采用气候智慧型农业的障碍。","2026-09-22T23:30:08.462412Z",{"id":276,"title":277,"url":278,"summary":279,"summary_zh":280,"content":9,"source_name":281,"source_url":278,"published_at":282,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":283,"score_detail":284,"sources":287,"tags":289,"primary_topic":292,"secondary_topics":293,"classification":295,"search_phrases":326,"slug":329,"view_count":22,"doi":330,"paper":331,"created_at":346},2142,"Analyzing the Socio-Economic and Institutional Determinants of Climate-Smart Agricultural Practices Adoption among Smallholder Green Gram Farmers in Masinga Sub-County, Kenya","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjeai\u002F2026\u002Fv48i104499","Climate-smart agriculture (CSA) holds significant potential for enhancing productivity and climate resilience among smallholder farmers. In Masinga Sub-County, approximately 9,900 green gram farmers face erratic rainfall, droughts, and soil degradation, resulting in mean yields of only 460 kg\u002Fha against a potential of 1.5 tons\u002Fha. This study examined the socio-economic and institutional determinants, incentives, and constraints influencing CSA adoption. Anchored in the Theory of Planned Behavior and the Technology Acceptance Model, the study employed a descriptive cross-sectional design. Data were collected using semi-structured questionnaires administered to 390 green gram farmers selected through stratified random sampling across the five wards of Masinga Sub-County. Data were analysed using descriptive statistics in SPSS Version 29. Results showed that 54.0% of respondents had adopted at least two CSA practices, with drought-resistant seed varieties (43.2%) and minimum tillage (42.4%) being the most common. The binary logistic regression model demonstrated a good fit (McFadden Pseudo R² = 0.395; overall classification accuracy = 80.4%) and identified significant positive predictors: access to input subsidies (OR = 2.33, p \u003C 0.001), perceived government policy support (OR = 2.37, p = 0.002), annual household income (OR = 2.09, p = 0.006), and market linkages (OR = 1.74, p = 0.049). High input costs were the main significant barrier (OR = 0.42, p = 0.002). Thematic analysis confirmed infrastructure deficits, financial barriers, and awareness gaps as interconnected obstacles. The study findings provided valuable insights for the academic literature by addressing gaps in research on CSA adoption in semi-arid regions, particularly for drought-prone crops like green gram. Additionally, the study findings benefit policymakers by offering data-driven recommendations for designing and developing policies that enhance CSA adoption and sustainability in smallholder farming. Agricultural extension services and development organisations may use these findings to design targeted programmes that address key incentives and constraints. The study concluded that income level and access to input subsidies were the primary drivers of CSA adoption, while high input costs constituted the foremost structural barrier, with incentives and constraints each operating as integrated, mutually reinforcing systems rather than isolated factors.","气候智慧型农业（Climate-Smart Agriculture, CSA）在提升小农户生产力和气候韧性方面具有显著潜力。在马辛加分区，约9900名绿豆种植户面临降雨不规律、干旱和土壤退化等问题，平均产量仅为460公斤\u002F公顷，而潜在产量可达1.5吨\u002F公顷。本研究考察了影响气候智慧型农业采纳的社会经济与制度性决定因素、激励因素及制约因素。研究以计划行为理论和技术接受模型为理论基础，采用描述性横断面设计。数据通过半结构化问卷收集，调查对象为通过分层随机抽样在马辛加分区五个选区选取的390名绿豆种植户。数据使用SPSS第29版进行描述性统计分析。结果显示，54.0%的受访者至少采纳了两项气候智慧型农业措施，其中抗旱种子品种（43.2%）和少耕\u002F免耕（42.4%）最为常见。二元逻辑回归模型拟合良好（McFadden伪R²=0.395；总体分类准确率=80.4%），并识别出显著的正向预测因素：获得投入品补贴（OR=2.33，p\u003C0.001）、感知到的政府政策支持（OR=2.37，p=0.002）、家庭年收入（OR=2.09，p=0.006）以及市场联结（OR=1.74，p=0.049）。高投入成本是主要显著障碍（OR=0.42，p=0.002）。主题分析证实，基础设施不足、资金障碍和认知差距是相互关联的障碍。本研究发现通过填补半干旱地区气候智慧型农业采纳研究中的空白，特别是针对绿豆等易旱作物，为学术文献提供了有价值的见解。此外，本研究发现为政策制定者提供了基于数据的建议，有助于设计和制定促进小农农业中气候智慧型农业采纳与可持续性的政策。农业推广服务机构和发展组织可利用这些发现设计有针对性的项目，以解决关键激励因素和制约因素。研究结论认为，收入水平和获得投入品补贴是气候智慧型农业采纳的主要驱动因素，而高投入成本构成首要结构性障碍，激励因素与制约因素各自作为相互关联、相互强化的系统发挥作用，而非孤立因素。","Journal of Experimental Agriculture International","2026-09-10T00:00:00Z",69,{"impact":210,"substance":285,"depth":17,"authority":210,"freshness":21,"relevant":22,"comment":286},20,"基于390户小农调查的实证研究，量化了补贴、政策支持与收入对气候智慧农业采纳的影响，数据扎实但属区域性案例，公共影响有限。",[288],{"name":281,"url":278},[290,291,195,27,29],"肯尼亚","绿豆",{"code":199,"slug":200,"name":201,"path":202,"parent_code":203},[294],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":296},{"candidates":297,"agricultural_evidence":46},[298,302,307,313,317,321],{"code":199,"score":189,"supported":46,"title":299,"abstract":300,"tags":301},[212],[195,212],[195],{"code":33,"score":13,"supported":46,"title":303,"abstract":304,"tags":306},[],[50,305,52],"climate resilience",[27],{"code":70,"score":134,"supported":46,"title":308,"abstract":309,"tags":312},[],[310,311],"农业推广","agricultural extension",[29],{"code":231,"score":63,"supported":46,"title":314,"abstract":315,"tags":316},[],[234,235],[],{"code":55,"score":140,"supported":46,"title":318,"abstract":319,"tags":320},[],[58],[],{"code":322,"score":22,"supported":14,"title":323,"abstract":324,"tags":325},"A5",[],[],[291],[327,328],"气候智慧农业 技术采纳 小农户 肯尼亚","气候智慧农业 技术采纳","气候智慧农业技术采纳小农户肯尼亚-2142","10.9734\u002Fjeai\u002F2026\u002Fv48i104499",{"doi":330,"openalex_id":332,"authors":333,"venue":281,"cited_by_count":78,"oa_url":278,"card":341,"direction":101,"ingested_from":102},"W7212140110",[334,336,338],{"name":335,"orcid":9},"Anna Ndunge Mutinda",{"name":337,"orcid":9},"Martin Kagiki Njogu",{"name":339,"orcid":340},"Pauline Micheni Kananu","https:\u002F\u002Forcid.org\u002F0000-0003-1795-345X",{"tldr":342,"method":343,"finding":344,"direction":177,"opportunity":345},"研究肯尼亚Masinga小农户绿豆种植采纳气候智慧农业的社会经济与制度决定因素。","对390户分层随机抽样问卷，用SPSS做描述统计与二元逻辑回归。","收入、投入补贴、政策支持与市场联系促进采纳，高投入成本是主要障碍。","可探索将补贴、市场与推广服务数字化联动，构建小农户CSA采纳决策支持系统。","2026-09-11T23:30:10.306285Z",{"id":348,"title":349,"url":350,"summary":351,"summary_zh":352,"content":9,"source_name":353,"source_url":350,"published_at":354,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":355,"score_detail":356,"sources":358,"tags":360,"primary_topic":362,"secondary_topics":367,"classification":370,"search_phrases":403,"slug":406,"view_count":78,"doi":407,"paper":408,"created_at":424},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":56,"substance":19,"depth":189,"authority":63,"freshness":56,"relevant":22,"comment":357},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[359],{"name":353,"url":350},[227,195,27,310,361],"津巴布韦",{"code":224,"slug":363,"name":364,"path":365,"parent_code":366},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[368,369],{"code":199,"slug":200,"name":201,"path":202,"parent_code":203},{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":371},{"candidates":372,"agricultural_evidence":46},[373,377,381,385,389,393,399],{"code":224,"score":189,"supported":46,"title":374,"abstract":375,"tags":376},[228],[227,228],[227],{"code":199,"score":189,"supported":46,"title":378,"abstract":379,"tags":380},[212],[195,212],[195],{"code":33,"score":13,"supported":46,"title":382,"abstract":383,"tags":384},[],[49,50,51,52],[27],{"code":70,"score":134,"supported":46,"title":386,"abstract":387,"tags":388},[],[310,311],[310],{"code":62,"score":63,"supported":46,"title":390,"abstract":391,"tags":392},[],[66,67],[],{"code":152,"score":63,"supported":46,"title":394,"abstract":395,"tags":398},[],[396,397],"农村金融","rural finance",[],{"code":55,"score":140,"supported":46,"title":400,"abstract":401,"tags":402},[],[58],[],[404,405],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":407,"openalex_id":409,"authors":410,"venue":353,"cited_by_count":78,"oa_url":9,"card":419,"direction":101,"ingested_from":102},"W7223029383",[411,414,417],{"name":412,"orcid":413},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":415,"orcid":416},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":418,"orcid":9},"Patience Mutopo",{"tldr":420,"method":421,"finding":422,"direction":177,"opportunity":423},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z",{"id":426,"title":427,"url":428,"summary":429,"summary_zh":430,"content":9,"source_name":112,"source_url":428,"published_at":354,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":431,"sources":434,"tags":436,"primary_topic":441,"secondary_topics":442,"classification":443,"search_phrases":473,"slug":476,"view_count":78,"doi":477,"paper":478,"created_at":493},5473,"Can regional value-chain integration decouple China's agri-food export growth from production-side direct CO2 attributed to export domestic value added? Evidence from belt and road partner economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1977325","This study examines whether regional value-chain (RVC) integration can support agri-food export growth while improving the carbon performance of China's export sectors. We build a 2007–2023 bilateral country–industry–year panel for C01 agriculture, forestry, and fishing and C03 food processing across 39 economies currently classified as Belt and Road partners. Asian Development Bank multi-regional input–output tables identify bilateral value-added paths, while Chinese sectoral fossil-energy data and Intergovernmental Panel on Climate Change emission factors are used to measure production-side direct fossil-energy CO 2 attributed to export domestic value added. The analysis combines logarithmic mean Divisia index decomposition, fixed-effects models, an external shift-share instrument, value-chain configuration tests, and a within–between decomposition. Four findings stand out. First, long-run carbon-intensity improvement more than offsets cumulative scale and structural pressures. Second, the baseline fixed-effects and IV estimates show a negative overall association between RVC cooperation and absolute production-side direct CO 2 , and this relationship remains negative in post-2013 samples. Third, within established partner–industry relationships, deeper RVC is significantly associated with lower carbon per unit of exports, while the export-scale and absolute-carbon coefficients are statistically insignificant. Fourth, denser two-way embedment is associated with higher carbon pressure, a more forward-oriented structure with lower carbon, and deep cooperation with a higher carbon association than shallow cooperation. The results suggest that climate-smart agri-food integration should combine production-efficiency gains with forward-oriented domestic value creation and careful monitoring of the scale effects of deeper production networks.","本研究考察区域价值链（RVC）整合能否在促进农食产品出口增长的同时改善中国出口部门的碳绩效。我们构建了2007—2023年双边国家—行业—年份面板数据，涵盖目前被归类为“一带一路”伙伴的39个经济体中的C01农、林、渔业和C03食品加工业。亚洲开发银行多区域投入产出表用于识别双边增加值路径，中国部门化石能源数据和政府间气候变化专门委员会排放因子用于测算出口国内增加值所对应的生产侧直接化石能源CO₂。分析结合了对数平均迪氏指数分解、固定效应模型、外部移动份额工具变量、价值链构型检验以及组内—组间分解。有四項发现尤为突出。第一，长期碳强度的改善足以抵消累积的规模压力和结构压力。第二，基准固定效应和IV估计显示，RVC合作与绝对生产侧直接CO₂总体上呈负相关，且这一关系在2013年之后的样本中仍为负。第三，在既有的伙伴—行业关系中，更深的RVC与单位出口碳含量较低显著相关，而出口规模和绝对碳的系数在统计上不显著。第四，更密集的双向嵌入与更高的碳压力相关，更偏向前的结构与更低的碳相关，深度合作比浅层合作具有更高的碳关联。结果表明，气候智慧型农食一体化应将生产效率提升与偏向前的国内价值创造相结合，并审慎监测更深生产网络的规模效应。",{"impact":17,"substance":18,"depth":432,"authority":190,"freshness":21,"relevant":22,"comment":433},19,"基于39个一带一路伙伴国2007–2023年面板数据，方法扎实、结论有新意，对农业绿色贸易政策有参考价值，但属学术论文，公共影响有限。",[435],{"name":112,"url":428},[437,438,27,439,440],"农业碳排放","一带一路","农产品贸易","全球价值链",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":444},{"candidates":445,"agricultural_evidence":46},[446,450,457,463,468],{"code":33,"score":134,"supported":46,"title":447,"abstract":448,"tags":449},[],[49,51],[27],{"code":451,"score":63,"supported":46,"title":452,"abstract":453,"tags":456},"E1",[],[454,455],"食品加工","food processing",[],{"code":458,"score":140,"supported":46,"title":459,"abstract":460,"tags":462},"D",[],[461],"渔业",[],{"code":464,"score":22,"supported":14,"title":465,"abstract":466,"tags":467},"E5",[],[],[439],{"code":469,"score":22,"supported":14,"title":470,"abstract":471,"tags":472},"H4",[],[],[437],[474,475],"中国 农食产品 出口 碳排放","一带一路 区域价值链","中国农食产品出口碳排放-5473","10.3389\u002Ffsufs.2026.1977325",{"doi":477,"openalex_id":479,"authors":480,"venue":112,"cited_by_count":78,"oa_url":428,"card":487,"direction":491,"ingested_from":102},"W7223067445",[481,483,485],{"name":482,"orcid":9},"Kunlin Tang",{"name":484,"orcid":9},"Wei Yang",{"name":486,"orcid":9},"Yuan Huang",{"tldr":488,"method":489,"finding":490,"direction":491,"opportunity":492},"研究区域价值链整合能否使中国农食出口增长与生产侧直接CO2脱钩。","2007–2023年39个一带一路经济体的双边面板，用ADB多区域投入产出表与L","长期碳强度改善抵消规模压力，RVC合作总体降低绝对CO2，但深度双向嵌入会推高碳压力。","农业绿色发展与碳","可探究前向型国内增加值创造与深度生产网络的规模效应监测机制，识别气候智慧型农食整合路径。","2026-10-21T23:30:07.454815Z",{"id":495,"title":496,"url":497,"summary":498,"summary_zh":499,"content":9,"source_name":112,"source_url":497,"published_at":354,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":500,"score_detail":501,"sources":503,"tags":505,"primary_topic":510,"secondary_topics":513,"classification":519,"search_phrases":569,"slug":572,"view_count":78,"doi":573,"paper":574,"created_at":594},5472,"Turning dirt into gold: the business case of soil carbon for agrarian pathways in arid climate","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1966265","Introduction Agricultural carbon sequestration offers considerable potential for mitigating anthropogenic climate change, particularly in the low-organic-carbon soils of the Middle East. This study presents a foundational scenario-based assessment of soil carbon sequestration and economic feasibility. Materials and methods Crop production and market datasets from Jordanian statistics (1998–2023) were used to estimate potential soil carbon sequestration and economic performance. Using benchmarks from literature in comparable agroecological regions, four soil carbon management practices were evaluated across multiple crops for their carbon storage potential using Monte Carlo uncertainty and sensitivity analysis. Sensitivity of economic performance was assessed under optimistic\u002Fpessimistic scenarios. Results Among the evaluated practices, the highest carbon sequestration rate was achieved through increased Soil Organic Carbon (SOC), reaching a maximum of 27.44 metric tons of CO₂ per hectare per year (tCO₂\u002Fha\u002Fyear) under the high scenario for cucumbers. In contrast, barley showed the highest sequestration rate at 0.45 tCO₂\u002Fha\u002Fyear under increased SOC in the high scenario. Sensitivity analysis showed that ±20% uncertainty in the management coefficients resulted in practice-specific changes of 1.11 tCO₂\u002Fha\u002Fyear for increased SOC and 0.46 tCO₂\u002Fha\u002Fyear for improved cropland management. Horticultural crops, particularly cucumbers and lemons, exhibited the highest sequestration rates and strongest responses to management interventions. Field crops such as wheat, barley, and olives demonstrated lower, more stable sequestration rates. Economic analysis revealed that cucumbers, grapes, potatoes, and Open-field farming (OFF) tomatoes achieved the highest tri-pillar performance (net and adjusted profits and break-even cost) alongside effective carbon sequestration. These findings highlight that crop choice is a primary determinant of both crop profitability and sequestrated carbon potential and feasibility, with significant implications for climate-smart agriculture, carbon credit mechanisms, and intensification strategies in data-scarce regions. Study limitations While empirical field validation remains a future priority, this model-based study provides a screening-level theoretical baseline to guide targeted research and investment in arid agricultural systems.","引言 农业碳封存为缓解人为气候变化提供了可观潜力，尤其是在中东低有机碳土壤中。本研究提出了一项基于情景的土壤碳封存与经济学可行性基础评估。材料与方法 利用约旦统计数据（1998—2023年）中的作物生产和市场数据集，估算潜在的土壤碳封存及经济表现。参考可比农业生态区域文献中的基准值，采用蒙特卡洛不确定性分析和敏感性分析，评估了四种土壤碳管理措施在多种作物上的碳储存潜力。在乐观\u002F悲观情景下评估了经济表现的敏感性。结果 在评估的各项措施中，通过增加土壤有机碳（SOC）实现的碳封存速率最高，在黄瓜的高情景下达到最高27.44公吨二氧化碳\u002F公顷\u002F年（tCO₂\u002Fha\u002Fyear）。相比之下，大麦在增加SOC的高情景下表现出最高的封存速率，为0.45 tCO₂\u002Fha\u002Fyear。敏感性分析表明，管理系数±20%的不确定性导致增加SOC和改善农田管理分别产生1.11 tCO₂\u002Fha\u002Fyear和0.46 tCO₂\u002Fha\u002Fyear的措施特异性变化。园艺作物，尤其是黄瓜和柠檬，表现出最高的封存速率和对管理干预的最强响应。小麦、大麦和橄榄等大田作物表现出较低但更稳定的封存速率。经济分析显示，黄瓜、葡萄、马铃薯和露地栽培（OFF）番茄在有效碳封存的同时实现了最高的三支柱表现（净利润、调整后利润和盈亏平衡成本）。这些发现突出表明，作物选择是作物盈利能力和封存碳潜力及可行性的主要决定因素，对气候智慧型农业、碳信用机制和数据稀缺地区的集约化策略具有重要意义。研究局限性 尽管田间实证验证仍是未来的优先事项，但这项基于模型的研究提供了筛选层面的理论基线，以指导干旱农业系统中的针对性研究和投资。",70,{"impact":210,"substance":285,"depth":17,"authority":190,"freshness":21,"relevant":22,"comment":502},"基于约旦1998–2023年统计数据的模型情景研究，量化了不同作物固碳速率与经济收益，对干旱区农业碳汇与碳信用机制有参考价值，但属区域性模拟研究，尚未经田间验证。",[504],{"name":112,"url":497},[27,506,507,508,509],"碳交易","干旱农业","土壤碳汇","作物选择",{"code":231,"slug":235,"name":511,"path":512,"parent_code":37},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[514,515],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":469,"slug":516,"name":517,"path":518,"parent_code":37},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",{"status":40,"locked":14,"version":41,"method":42,"evidence":520},{"candidates":521,"agricultural_evidence":46},[522,526,530,536,543,550,555,561,565],{"code":231,"score":20,"supported":46,"title":523,"abstract":524,"tags":525},[235],[234,235],[],{"code":33,"score":13,"supported":46,"title":527,"abstract":528,"tags":529},[],[49,50,51],[27],{"code":469,"score":56,"supported":46,"title":531,"abstract":532,"tags":535},[],[533,534],"农业碳","carbon sequestration",[508,506],{"code":537,"score":63,"supported":46,"title":538,"abstract":539,"tags":542},"A2",[],[540,541],"小麦","wheat",[],{"code":544,"score":63,"supported":46,"title":545,"abstract":546,"tags":549},"B1",[],[547,548],"番茄","黄瓜",[],{"code":322,"score":140,"supported":46,"title":551,"abstract":552,"tags":554},[],[553],"马铃薯",[],{"code":556,"score":140,"supported":46,"title":557,"abstract":558,"tags":560},"B2",[],[559],"葡萄",[],{"code":146,"score":140,"supported":46,"title":562,"abstract":563,"tags":564},[],[149],[],{"code":55,"score":140,"supported":46,"title":566,"abstract":567,"tags":568},[],[58],[],[570,571],"约旦 土壤碳汇 黄瓜","土壤固碳 经济可行性","约旦土壤碳汇黄瓜-5472","10.3389\u002Ffsufs.2026.1966265",{"doi":573,"openalex_id":575,"authors":576,"venue":112,"cited_by_count":78,"oa_url":497,"card":589,"direction":101,"ingested_from":102},"W7223064172",[577,579,581,584,586],{"name":578,"orcid":9},"Tasnim Althalaj",{"name":580,"orcid":9},"Ross. M. Thompson",{"name":582,"orcid":583},"Tala H. Qtaishat","https:\u002F\u002Forcid.org\u002F0000-0002-2700-6686",{"name":585,"orcid":9},"Dan Bumblauskas",{"name":587,"orcid":588},"Fayha Al-Shibli","https:\u002F\u002Forcid.org\u002F0000-0002-5628-0975",{"tldr":590,"method":591,"finding":592,"direction":491,"opportunity":593},"基于约旦1998–2023年数据，评估干旱区土壤固碳潜力与经济可行性。","用蒙特卡洛不确定性与敏感性分析，评估四种土壤碳管理措施在多作物下的表现。","黄瓜等园艺作物固碳率最高，作物选择是固碳与盈利的关键决定因素。","数据稀缺干旱区可结合田间验证与碳信用机制，研究作物级固碳经济激励设计。","2026-10-21T23:30:07.383006Z"]