[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2293":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":51},2293,"Livelihood capital heterogeneity and post-relocation differentiation among poverty-alleviated households: evidence from the Liangshan Yi region, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1888033","Identifying structural differences in livelihood capital across household types after relocation is essential for understanding patterns of household differentiation and designing effective support policies. Based on survey data from 677 poverty-alleviation relocated households in the Liangshan Yi Autonomous Prefecture, this study classifies households into five types according to income structure and constructs a five-dimensional analytical framework of livelihood capital, and comprehensively uses entropy method, analysis of variance, and discriminant analysis to systematically examine patterns of household differentiation. The results reveal that standardized resettlement has not homogenized household development capacity, but rather restructured livelihood capital configurations in ways that render pre-existing differences more salient. Each household type exhibits a distinctive capital structure--non-agricultural households are characterized by higher human capital, pure agricultural households by stronger physical and natural capital, non-agriculture-dominant mixed households by more extensive social capital, agriculture-dominant mixed households by a relatively balanced yet low level capital portfolio, and transfer-dependent households by comprehensive capital disadvantages. Transitional mixed-livelihood households exhibit unstable capital configurations and the lowest classification accuracy in discriminant analysis, positioning them as a priority group for poverty-relapse prevention. Overall, these findings demonstrate that post-relocation household differentiation is systematically associated with differences in capital conversion capacity. Based on the above research results, this paper suggests that support policies should shift from uniform assistance toward differentiated interventions aligned with the specific capital endowments of each household type.","识别搬迁后不同家庭类型生计资本的结构性差异，对于理解农户分化规律和制定有效支持政策至关重要。基于凉山彝族自治州677户易地扶贫搬迁农户的调查数据，本研究依据收入结构将农户划分为五种类型，构建生计资本五维分析框架，综合运用熵值法、方差分析和判别分析，系统考察农户分化规律。结果表明，标准化安置并未使农户发展能力趋于同质化，反而重构了生计资本配置，使既有差异更加凸显。各家庭类型呈现出独特的资本结构——非农型农户以较高人力资本为特征，纯农型农户以较强的物质资本和自然资本为特征，非农主导型兼业农户以更广泛的社会资本为特征，农业主导型兼业农户以相对均衡但水平较低的资本组合为特征，转移依赖型农户则面临全面的资本劣势。过渡型兼业农户的资本配置不稳定，在判别分析中分类准确率最低，是防止返贫的重点群体。总体而言，这些发现表明搬迁后农户分化与资本转换能力差异存在系统性关联。基于上述研究结果，本文建议支持政策应从统一帮扶转向与各家庭类型特定资本禀赋相匹配的差异化干预。",null,"Frontiers in Sustainable Food Systems","2026-09-11T00:00:00Z","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,"基于凉山677户搬迁农户调查，揭示安置后生计资本分化规律并提出差异化帮扶建议，数据扎实、结论对防返贫政策有参考价值，但属区域案例研究，影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"防返贫","生计资本","易地搬迁","凉山彝族","差异化帮扶",0,"10.3389\u002Ffsufs.2026.1888033",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":6,"card":44,"direction":48,"ingested_from":50},"W7212274976",[37,40,42],{"name":38,"orcid":39},"Jie Gao","https:\u002F\u002Forcid.org\u002F0000-0002-2640-5116",{"name":41,"orcid":9},"Yuemei Sun",{"name":43,"orcid":9},"Xiaoyu Huang",{"tldr":45,"method":46,"finding":47,"direction":48,"opportunity":49},"基于凉山677户易地搬迁户调查，分析生计资本异质性与搬迁后农户分化。","熵值法、方差分析与判别分析，构建五维生计资本框架。","安置未使发展能力同质化，资本转换能力差异导致农户系统性分化。","数字乡村与农业信息化","可结合数字技术监测农户生计资本动态，构建返贫风险预警与差异化帮扶决策模型。","openalex","2026-09-13T23:30:07.186239Z"]