[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2142":3},{"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":23,"tags":25,"view_count":31,"doi":32,"paper":33,"created_at":51},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。",null,"Journal of Experimental Agriculture International","2026-09-10T00:00:00Z","论文",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":20,"relevant":21,"comment":22},12,20,16,9,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"肯尼亚","绿豆","小农户","气候智慧农业","技术采纳",0,"10.9734\u002Fjeai\u002F2026\u002Fv48i104499",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":31,"oa_url":6,"card":43,"direction":49,"ingested_from":50},"W7212140110",[36,38,40],{"name":37,"orcid":9},"Anna Ndunge Mutinda",{"name":39,"orcid":9},"Martin Kagiki Njogu",{"name":41,"orcid":42},"Pauline Micheni Kananu","https:\u002F\u002Forcid.org\u002F0000-0003-1795-345X",{"tldr":44,"method":45,"finding":46,"direction":47,"opportunity":48},"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。","数字乡村与农业信息化","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。","智慧农业 \u002F 农业物联网","openalex","2026-09-11T23:30:10.306285Z"]