[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2417":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":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":61},2417,"Climate-smart but economically vulnerable: livelihood strategy choices among millet-producing households in Central Tanzania","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14735903.2026.2728319","The irony of climate-smart agriculture is particularly evident in central Tanzania, where farmers cultivating millet, a crop promoted as climate change solutions, face the most difficult livelihood choices. This study examines the livelihood strategies of millet farmers in the Manyoni and Bahi districts of central Tanzania, including the factors influencing these choices. A triangulated clustering analysis based on the activity approach classified the 417 farming households into five distinct clusters, where income levels, commercialization indices, and food security scores were compared. A multinomial logit model examined the drivers of livelihood strategy choices. The results identify five distinct livelihood strategies, with the majority of farmers engaging in multiple economic activities, such as off-farm activities, livestock keeping, and cultivating commercial crops. Cluster 1 represents 28% of households, with the highest income, food security, and market participation, primarily due to finger millet cultivation. In contrast, Cluster 4, comprising farmers who grow only pearl millet, is the poorest, with low income and limited market participation. The key drivers of cluster choices included education, age, extension services, and geographical location. Findings highlight that livelihood strategies among millet-producing households yield distinct welfare outcomes; thus, policies and interventions should prioritize livelihood combinations that result in improved food security and economic resilience.","气候智能型农业的讽刺之处在坦桑尼亚中部尤为明显：种植小米——一种被宣传为气候变化解决方案的作物——的农民却面临着最艰难的生计选择。本研究考察了坦桑尼亚中部马尼奥尼区和巴希区小米种植户的生计策略，包括影响这些选择的因素。基于活动方法的三角聚类分析将417个农户划分为五个不同的集群，并对收入水平、商业化指数和粮食安全得分进行了比较。多项Logit模型检验了生计策略选择的驱动因素。结果识别出五种不同的生计策略，大多数农民从事多种经济活动，如非农活动、畜牧养殖和种植经济作物。集群1占农户的28%，拥有最高的收入、粮食安全和市场参与度，主要归因于指状粟的种植。相比之下，集群4由仅种植珍珠粟的农民组成，是最贫困的群体，收入低且市场参与有限。集群选择的关键驱动因素包括教育、年龄、推广服务和地理位置。研究结果表明，小米种植户的生计策略产生了不同的福利结果；因此，政策和干预措施应优先考虑能够改善粮食安全和经济韧性的生计组合。",null,"International Journal of Agricultural Sustainability","2026-09-11T00:00:00Z","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417户聚类与多项Logit模型的实证研究，揭示气候智慧型作物种植户的生计分化与福利差异，对同类地区政策设计有参考价值，但属区域性研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","气候智慧农业","小农户增收","小米种植","农户生计",0,"10.1080\u002F14735903.2026.2728319",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":6,"card":53,"direction":59,"ingested_from":60},"W7212316876",[37,39,42,45,48,50],{"name":38,"orcid":9},"Prisca E. Kimaro",{"name":40,"orcid":41},"Niloofar Khalili","https:\u002F\u002Forcid.org\u002F0000-0002-9079-518X",{"name":43,"orcid":44},"Constance Rybak","https:\u002F\u002Forcid.org\u002F0000-0002-7581-8021",{"name":46,"orcid":47},"Stefan Sieber","https:\u002F\u002Forcid.org\u002F0000-0002-4849-7277",{"name":49,"orcid":9},"Daniel Ndyetabula",{"name":51,"orcid":52},"Dagmar Mithöfer","https:\u002F\u002Forcid.org\u002F0000-0002-9347-682X",{"tldr":54,"method":55,"finding":56,"direction":57,"opportunity":58},"研究坦桑尼亚中部小米种植户的生计策略选择及其影响因素。","对417户聚类分析，并用多项Logit模型分析生计策略驱动因素。","多数农户采取多种经营活动，仅种珍珠粟的农户最贫困，教育、年龄、推广服务和地理位置是关键驱动因素。","数字乡村与农业信息化","可探索数字推广服务如何帮助气候智慧型作物种植户优化生计组合、提升经济韧性。","智慧农业 \u002F 农业物联网","openalex","2026-09-14T23:30:11.425655Z"]