[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2293":3,"related-2293":71},{"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":47,"slug":50,"view_count":41,"doi":51,"paper":52,"created_at":70},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",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":45,"reason":46},[39],{"code":40,"score":41,"supported":14,"title":42,"abstract":43,"tags":44},"G6",2,[],[],[29,27],true,"缺少足够的主题证据",[48,49],"差异化帮扶 凉山彝族 易地搬迁 生计资本","差异化帮扶 凉山彝族","差异化帮扶凉山彝族易地搬迁生计资本-2293","10.3389\u002Ffsufs.2026.1888033",{"doi":51,"openalex_id":53,"authors":54,"venue":10,"cited_by_count":62,"oa_url":6,"card":63,"direction":67,"ingested_from":69},"W7212274976",[55,58,60],{"name":56,"orcid":57},"Jie Gao","https:\u002F\u002Forcid.org\u002F0000-0002-2640-5116",{"name":59,"orcid":9},"Yuemei Sun",{"name":61,"orcid":9},"Xiaoyu Huang",0,{"tldr":64,"method":65,"finding":66,"direction":67,"opportunity":68},"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",{"total":72,"page":22,"page_size":72,"items":73},6,[74,125,178,222,274,324],{"id":75,"title":76,"url":77,"summary":78,"summary_zh":9,"content":9,"source_name":10,"source_url":77,"published_at":79,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":80,"score_detail":81,"sources":84,"tags":86,"primary_topic":9,"secondary_topics":88,"classification":89,"search_phrases":101,"slug":104,"view_count":105,"doi":106,"paper":107,"created_at":124},1237,"How livelihood capital shapes poverty return risk? Evidence from rural monitoring households in Western Hunan, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938614","Introduction Against the background of post-poverty alleviation governance, livelihood capital acts as the core endogenous resource determining rural monitored households’ capacity to avert poverty relapse risks. Existing literature fails to fully differentiate three official categories of at-risk rural households, and lacks systematic evidence on heterogeneous mechanisms of multi-dimensional livelihood capital affecting poverty relapse prevention. This study fills such research gaps and provides empirical basis for classified targeted anti-poverty governance. Methods Taking 19,326 monitored households across eight contiguous poverty-alleviation counties in Western Hunan as samples, including 5,896 poverty-relieved unstable households, 8,321 marginal vulnerable households, and 5,109 households with sudden severe hardships, this paper establishes a five-dimensional livelihood capital evaluation system covering natural, physical, human, social and financial capital. The entropy-weighted TOPSIS model is adopted to quantify livelihood capital endowment gaps, and four groups of binary Logistic regression models (full sample plus three sub-samples) are constructed to identify differentiated influencing factors of poverty relapse risk elimination. Results The results show that 81.77% of all sampled households have eliminated relapse risks; marginal vulnerable households reach the highest risk elimination rate of 97.03%, while households with sudden severe hardships record the lowest rate at 69.90%. Households free of poverty-returning risks possess higher comprehensive livelihood capital scores, with financial capital as their dominant advantage. Livelihood capital exerts obvious heterogeneous effects across groups: financial capital dominates risk elimination in the full sample; human capital serves as the core driver for poverty-relieved unstable households; financial capital determines risk resistance for households with sudden severe hardships; social capital generates significantly positive effects on marginal vulnerable groups. Theoretically, this paper subdivides monitored households into three official types and enriches the empirical evidence of livelihood capital’s poverty reduction effects, expanding the application boundary of the sustainable livelihood framework in mountainous anti-poverty research. Practically, it provides a data-driven risk identification tool for regional dynamic poverty monitoring. Conclusion Local governments should formulate differentiated assistance policies matching livelihood capital disadvantages of different household groups. Activating multi-dimensional livelihood capital endowments can effectively strengthen rural households’ risk resistance, consolidate long-term poverty alleviation achievements, and fundamentally curb repeated poverty among rural monitored households.","2026-08-26T00:00:00Z",72,{"impact":19,"substance":18,"depth":19,"authority":82,"freshness":41,"relevant":22,"comment":83},12,"基于大样本的实证研究，为分类帮扶提供数据支撑，但时效性较低。",[85],{"name":10,"url":77},[87,27,28],"乡村振兴",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":90},{"candidates":91,"agricultural_evidence":45,"reason":46},[92,97],{"code":93,"score":22,"supported":14,"title":94,"abstract":95,"tags":96},"G",[],[],[87],{"code":40,"score":22,"supported":14,"title":98,"abstract":99,"tags":100},[],[],[27],[102,103],"乡村振兴 生计资本 防返贫","乡村振兴 生计资本","乡村振兴生计资本防返贫-1237",3,"10.3389\u002Ffsufs.2026.1938614",{"doi":106,"openalex_id":108,"authors":109,"venue":10,"cited_by_count":62,"oa_url":118,"card":119,"direction":67,"ingested_from":69},"W7204237489",[110,112,114,116],{"name":111,"orcid":9},"Yan Huang",{"name":113,"orcid":9},"Yiheng Yu",{"name":115,"orcid":9},"Jiali Wan",{"name":117,"orcid":9},"Xie Jin","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1938614\u002Fpdf",{"tldr":120,"method":121,"finding":122,"direction":67,"opportunity":123},"研究生计资本如何影响农户返贫风险，基于湘西监测户数据，发现不同类型农户的资本驱动机制不同。","熵权TOPSIS评估生计资本，构建二元Logistic回归模型分析全样本及三类子","金融资本主导整体风险消除，人力资本对脱贫不稳定户关键，社会资本对边缘易致贫户有效。","可开发基于生计资本数据的动态返贫风险预警系统，结合大数据与机器学习，实现分类精准帮扶。","2026-09-01T04:03:09.109946Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":130,"content":9,"source_name":10,"source_url":128,"published_at":131,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":80,"score_detail":132,"sources":137,"tags":139,"primary_topic":9,"secondary_topics":144,"classification":145,"search_phrases":152,"slug":155,"view_count":105,"doi":156,"paper":157,"created_at":177},4335,"Post-relocation livelihood adaptation among resettled households in karst mountainous areas: outcomes, associated factors, and configurations in Guizhou Province, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1922524","Introduction Improving livelihood adaptation outcomes are crucial for relocated households to achieve sustainable development and consolidate poverty alleviation gains. Methods Using survey data from relocated households in karst mountainous areas, this study constructs a multidimensional livelihood adaptation outcomes index via the CRITIC method and combines OPGD and fsQCA to examine associated factors and configurational patterns. Results (1) There is a significant disparity in the outcomes of livelihood adaptation following relocation: although overall adaptation results are moderate, progress in psychological and living adaptation outcomes have far outpaced recovery in economic and occupational aspects. (2) Households show marked differences across all dimensions, with employment adaptation gap being the largest. (3) Income level, insurance coverage, and health status are the strongest associated factors; factor interactions generally enhance explanatory power. (4) The improvement of livelihood adaptation outcomes does not depend on a single dominant factor. Rather, six equivalent configurational pathways are formed through the nonlinear interaction of multiple conditions, jointly contributing to high levels of adaptation outcomes. Discussion Follow-up support policies for relocated households in karst mountainous areas should be based on the synergistic pattern of multiple associated factors, adopt targeted measures, formulate differentiated plans according to the resource characteristics of farming households, and select adaptive configurations associated with high livelihood adaptation outcomes in a coordinated manner, thereby strengthening the foundation for sustainable livelihoods among relocated households.","引言 改善生计适应结果对于搬迁户实现可持续发展和巩固脱贫成果至关重要。方法 本研究利用喀斯特山区搬迁户的调查数据，通过CRITIC法构建多维生计适应结果指数，并结合OPGD和fsQCA方法考察相关因素及组态模式。结果 （1）搬迁后生计适应结果存在显著差异：尽管整体适应结果处于中等水平，但心理和生活适应结果的进展远超经济与职业方面的恢复。（2）各维度上农户间差异明显，其中就业适应差距最大。（3）收入水平、保险覆盖和健康状况是最强的相关因素；因素交互作用总体上增强了解释力。（4）生计适应结果的改善并不依赖于单一主导因素，而是通过多条件的非线性交互形成六条等效组态路径，共同促成高水平的适应结果。讨论 喀斯特山区搬迁户的后续扶持政策应基于多相关因素的协同模式，采取针对性措施，根据农户资源特征制定差异化方案，并协调选择与高生计适应结果相关的适应性组态，从而夯实搬迁户可持续生计的基础。","2026-10-06T00:00:00Z",{"impact":82,"substance":133,"depth":134,"authority":20,"freshness":135,"relevant":22,"comment":136},21,17,9,"以贵州喀斯特山区搬迁户调查数据构建多维生计适应指数并结合OPGD与fsQCA识别组态路径，方法有新意、结论对后续帮扶政策有参考价值，但属区域案例研究，影响范围有限。",[138],{"name":10,"url":128},[29,140,141,142,143],"可持续生计","喀斯特山区","农户生计","fsQCA",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":146},{"candidates":147,"agricultural_evidence":45,"reason":46},[148],{"code":40,"score":41,"supported":14,"title":149,"abstract":150,"tags":151},[],[],[142,29],[153,154],"贵州 喀斯特山区 易地搬迁 农户生计","可持续生计 喀斯特山区 农户生计 易地搬迁","贵州喀斯特山区易地搬迁农户生计-4335","10.3389\u002Ffsufs.2026.1922524",{"doi":156,"openalex_id":158,"authors":159,"venue":10,"cited_by_count":62,"oa_url":171,"card":172,"direction":67,"ingested_from":69},"W7220742647",[160,162,164,167,169],{"name":161,"orcid":9},"Ding Ding",{"name":163,"orcid":9},"Zhongfa Zhou",{"name":165,"orcid":166},"Fang Tang","https:\u002F\u002Forcid.org\u002F0000-0003-4485-414X",{"name":168,"orcid":9},"Yongliu Yang",{"name":170,"orcid":9},"Tengxian Zhang","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1922524\u002Fpdf",{"tldr":173,"method":174,"finding":175,"direction":67,"opportunity":176},"基于贵州喀斯特山区搬迁户调查，评估其生计适应结果并识别影响因素与组态路径。","CRITIC法构建多维适应指数，结合OPGD与fsQCA分析影响因素及组态。","适应结果总体中等，心理与生活适应快于经济与职业；六条等效组态路径共同促成高适应。","可引入数字技能与信息可及性变量，探究数字赋能如何与生计资本组态协同提升搬迁户适应结果。","2026-10-07T23:30:06.701190Z",{"id":179,"title":180,"url":181,"summary":182,"summary_zh":183,"content":9,"source_name":10,"source_url":181,"published_at":184,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":80,"score_detail":185,"sources":187,"tags":189,"primary_topic":9,"secondary_topics":193,"classification":194,"search_phrases":201,"slug":204,"view_count":41,"doi":205,"paper":206,"created_at":221},3145,"Exploring household livelihood resilience and natural resource dependence in urban-oriented resettlement in rural China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948406","Urban-oriented resettlement is a key policy instrument for alleviating resource-driven livelihood constraints and fostering rural transformation and sustainable development in ecologically fragile regions. However, relocation not only changes residential locations but also alters households’ access to natural resources, livelihood capital structure, social networks, and livelihood strategy choices, leading to heterogeneous post-resettlement livelihood outcomes. Using household survey data from Ankang, Shaanxi Province, China, we develop an integrated framework coupling natural resource dependence (NRD) with household livelihood resilience (HLR) to examine how urban-oriented resettlement reconfigures this relationship. Group comparisons and multinomial logistic regression were used to examine the associations of relocation participation, voluntariness, subsidy level, and distance with HLR–NRD configuration membership. The results show that urban-oriented resettlement is associated with a significant reduction in households’ NRD, especially income and energy dependence; yet lower NRD does not consistently correspond to greater HLR. Relocation characteristics were also associated with households’ membership in different livelihood-transition configurations. These findings suggest that urban-oriented resettlement should be understood as a long-term process of livelihood-system reconstruction rather than as a one-time spatial intervention. Policy support should shift from uniform assistance toward differentiated livelihood recovery strategies based on HLR–NRD modes. This study extends household-level research on livelihood risk management and resettlement evaluation and offers empirical evidence for resettlement planning and sustainable livelihood governance in ecologically fragile regions and other developing contexts.","以城镇为导向的搬迁安置是缓解资源驱动型生计约束、促进生态脆弱地区农村转型与可持续发展的关键政策工具。然而，搬迁不仅改变了居民的居住地点，也改变了家庭对自然资源的获取、生计资本结构、社会网络以及生计策略选择，从而导致搬迁后生计结果呈现异质性。本文利用中国陕西省安康市的农户调查数据，构建了一个将自然资源依赖（NRD）与家庭生计韧性（HLR）相耦合的整合框架，以考察以城镇为导向的搬迁安置如何重构这一关系。研究采用组间比较和多项逻辑回归，分析搬迁参与、自愿性、补贴水平和距离与HLR–NRD配置归属之间的关联。结果表明，以城镇为导向的搬迁安置与家庭NRD的显著降低相关，尤其是收入和能源依赖；然而，较低的NRD并不总是对应更高的HLR。搬迁特征也与家庭在不同生计转型配置中的归属相关。这些发现表明，以城镇为导向的搬迁安置应被理解为生计系统重构的长期过程，而非一次性的空间干预。政策支持应从统一援助转向基于HLR–NRD模式的差异化生计恢复策略。本研究拓展了家庭层面的生计风险管理与搬迁评估研究，并为生态脆弱地区及其他发展中情境下的搬迁规划和可持续生计治理提供了经验证据。","2026-09-21T00:00:00Z",{"impact":82,"substance":133,"depth":134,"authority":20,"freshness":135,"relevant":22,"comment":186},"基于陕西安康农户调查，将自然资源依赖与生计韧性耦合，揭示搬迁后生计系统重构的异质性，对生态脆弱区搬迁后续扶持政策有实证参考价值。",[188],{"name":10,"url":181},[190,29,142,191,192],"生计韧性","自然资源依赖","陕西安康",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":195},{"candidates":196,"agricultural_evidence":45,"reason":46},[197],{"code":40,"score":41,"supported":14,"title":198,"abstract":199,"tags":200},[],[],[142,29],[202,203],"陕西安康 易地搬迁 农户生计","自然资源依赖 生计韧性","陕西安康易地搬迁农户生计-3145","10.3389\u002Ffsufs.2026.1948406",{"doi":205,"openalex_id":207,"authors":208,"venue":10,"cited_by_count":62,"oa_url":181,"card":216,"direction":67,"ingested_from":69},"W7213902576",[209,211,213],{"name":210,"orcid":9},"Ziqi Fang",{"name":212,"orcid":9},"Shaojun Chen",{"name":214,"orcid":215},"Xinyu Wu","https:\u002F\u002Forcid.org\u002F0000-0001-6130-7821",{"tldr":217,"method":218,"finding":219,"direction":67,"opportunity":220},"基于陕西安康农户调查，分析易地搬迁后自然资源依赖与生计韧性的关系。","农户调查数据，构建NRD-HLR耦合框架，用多项逻辑回归分析。","搬迁显著降低资源依赖，但低依赖未必带来高生计韧性，需差异化恢复策略。","可引入数字技术监测搬迁户生计资本与资源依赖动态，支撑差异化精准帮扶。","2026-09-22T23:30:08.101965Z",{"id":223,"title":224,"url":225,"summary":226,"summary_zh":9,"content":9,"source_name":227,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":228,"score_detail":229,"sources":232,"tags":234,"primary_topic":238,"secondary_topics":244,"classification":249,"search_phrases":261,"slug":264,"view_count":105,"doi":9,"paper":265,"created_at":273},2738,"数字乡村建设的防返贫效应与包容性研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165617.html","杭州电子科技大学徐旭初等利用数字乡村指数与中国家庭追踪调查2020年和2022年的匹配数据,实证估计了数字乡村建设对农户贫困脆弱性的影响及作用机制。研究发现数字乡村建设显著缓解了农户贫困脆弱性;对数字乡村建设分维度的分析发现,乡村经济数字化、生活数字化和治理数字化均对农户贫困脆弱性具有显著的缓解作用;机制路径分析表明,数字乡村建设主要通过就业促进和素养提升影响农户贫困脆弱性。","农业技术经济 2026年第2期",74,{"impact":19,"substance":18,"depth":19,"authority":230,"freshness":41,"relevant":22,"comment":231},14,"核心期刊论文，基于CFPS匹配数据的实证研究，方法规范、结论可靠，但时效性偏弱，适合作为主题页深度内容而非每日精选。",[233],{"name":227,"url":225},[235,27,142,236,237],"数字乡村","贫困脆弱性","包容性发展",{"code":239,"slug":240,"name":241,"path":242,"parent_code":243},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[245],{"code":40,"slug":246,"name":247,"path":248,"parent_code":93},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration",{"status":250,"locked":14,"version":35,"method":36,"evidence":251},"classified",{"candidates":252,"agricultural_evidence":45},[253,257],{"code":239,"score":82,"supported":45,"title":254,"abstract":255,"tags":256},[235],[235],[235],{"code":40,"score":13,"supported":45,"title":258,"abstract":259,"tags":260},[27],[],[142,27],[262,263],"包容性发展 贫困脆弱性 农户生计 数字乡村","包容性发展 贫困脆弱性","包容性发展贫困脆弱性农户生计数字乡村-2738",{"doi":9,"openalex_id":9,"authors":266,"venue":9,"cited_by_count":62,"oa_url":9,"card":267,"direction":67,"ingested_from":272},[],{"tldr":268,"method":269,"finding":270,"direction":67,"opportunity":271},"利用数字乡村指数与CFPS数据，实证检验数字乡村建设对农户贫困脆弱性的缓解效应及机制。","数字乡村指数匹配CFPS 2020和2022年数据，实证估计影响与机制。","数字乡村建设显著缓解农户贫困脆弱性，经济、生活、治理数字化均有作用，通过就业促进和素养提升实现。","可探究数字乡村不同维度对贫困脆弱性的异质性影响，以及就业促进与素养提升的长期动态效应。","agent","2026-09-17T00:04:41.028939Z",{"id":275,"title":276,"url":277,"summary":278,"summary_zh":279,"content":9,"source_name":10,"source_url":277,"published_at":280,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":62,"score_detail":281,"sources":283,"tags":285,"primary_topic":9,"secondary_topics":287,"classification":288,"search_phrases":302,"slug":305,"view_count":22,"doi":306,"paper":307,"created_at":323},1287,"Government support policies and sustainable livelihoods among resettled migrants in China: evidence from inner Mongolia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1933655","Following China's elimination of absolute poverty, income recovery and livelihood sustainability (IRLS) among resettlers have become core objectives of follow-up resettlement. Using survey data from 506 resettled households in Ordos City and Bayannur City, Inner Mongolia Autonomous Region, China, this study employs multiple statistical methods to examine how policy factors shape IRLS among resettlers in the post-elimination of absolute poverty stage (PEAPS). The findings show that policy factors remain an important safeguard for resettlers' IRLS in the PEAPS context. However, the effects differ markedly by policy type: skills training and social security have significant positive effects; living allowances tend to induce welfare dependency, and the effects of credit support are not yet evident. Policy factors also face constraints arising from industrial structure and unequal access to public services. Accordingly, this study recommends improving skills training and social security policies, increasing the targeted allocation of policy funds, tailoring assistance to the needs of individual resettlers, and dynamically adjusting policy measures. By coordinating internal and external efforts to activate resettlers' endogenous development potential, these measures can help achieve the long-term goals of enabling resettlers to “settle down securely, achieve prosperity, and pursue sustainable development.”","在中国消除绝对贫困之后，移民的收入恢复与生计可持续性（IRLS）已成为后续扶持工作的核心目标。本研究基于内蒙古自治区鄂尔多斯市和巴彦淖尔市506户移民家庭的调查数据，运用多种统计方法，探讨了后消除绝对贫困阶段（PEAPS）政策因素如何塑造移民的IRLS。研究发现，在PEAPS背景下，政策因素仍是保障移民IRLS的重要支撑。然而，不同政策类型的效果存在显著差异：技能培训和社会保障具有显著正向影响；生活补贴倾向于诱发福利依赖，而信贷支持的效果尚不明显。政策因素还面临产业结构及公共服务获取不均等带来的制约。据此，本研究建议完善技能培训和社会保障政策，提高政策资金的精准配置，针对移民个体需求实施差异化帮扶，并动态调整政策措施。通过内外协同发力，激活移民的内生发展潜力，这些措施有助于实现让移民“稳得住、能致富、可持续发展”的长远目标。","2026-08-31T00:00:00Z",{"impact":62,"substance":62,"depth":62,"authority":62,"freshness":62,"relevant":62,"comment":282},"主题聚焦移民生计与政策效应，与三农相关但非农业信息化核心，相关性不足。",[284],{"name":10,"url":277},[286,29,140],"政策支持",[],{"status":289,"locked":14,"version":35,"method":36,"evidence":290},"needs_review",{"candidates":291,"agricultural_evidence":14,"reason":301},[292,296],{"code":40,"score":22,"supported":14,"title":293,"abstract":294,"tags":295},[],[],[29],{"code":297,"score":22,"supported":14,"title":298,"abstract":299,"tags":300},"J1",[],[],[286],"农业相关性需要复核",[303,304],"可持续生计 政策支持 易地搬迁","可持续生计 政策支持","可持续生计政策支持易地搬迁-1287","10.3389\u002Ffsufs.2026.1933655",{"doi":306,"openalex_id":308,"authors":309,"venue":10,"cited_by_count":62,"oa_url":317,"card":318,"direction":67,"ingested_from":69},"W7204790815",[310,312,314],{"name":311,"orcid":9},"Xiujun Tai",{"name":313,"orcid":9},"Liuying Chen",{"name":315,"orcid":316},"Yanhong Wang","https:\u002F\u002Forcid.org\u002F0009-0004-0992-635X","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1933655\u002Fpdf",{"tldr":319,"method":320,"finding":321,"direction":67,"opportunity":322},"研究内蒙古搬迁移民的政府支持政策对收入恢复和生计可持续的影响。","基于506户调查数据，采用多种统计方法分析政策因素。","技能培训和社会保障有积极影响，生活补贴导致福利依赖，信贷支持效果不明显。","可探索如何利用数字化手段优化政策精准投放，避免福利依赖，提升移民内生发展动力。","2026-09-01T23:30:07.590328Z",{"id":325,"title":326,"url":327,"summary":328,"summary_zh":9,"content":9,"source_name":329,"source_url":9,"published_at":330,"category":331,"cover_url":9,"hotness":13,"is_selected":45,"score":332,"score_detail":333,"sources":337,"tags":339,"primary_topic":9,"secondary_topics":345,"classification":346,"search_phrases":358,"slug":361,"view_count":72,"doi":9,"paper":9,"created_at":362},887,"农民日报8-23头版：贵州山地差异化路径——以\"和美乡村\"建设和\"村超村BA\"等群众文体品牌推进乡村全面振兴","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260823\u002F20260823_1\u002Fnmrb_20260823_13385_1_2091261036783046661.html","贵州山地丘陵占比92.5%，十余载接续攻坚彻底撕掉绝对贫困标签。2020年底66个贫困县全部摘帽，累计923万人脱贫、192万人易地搬迁，\"一键报贫\"多层救助体系覆盖全省。松桃县龙明慧一家是精准动态帮扶的缩影。贵州同步推进农村改厕改圈、治理污水垃圾，发展\"村超村BA村T村马村戏\"群众文体品牌，榕江\"村超\"全网话题阅读量突破千亿。湄潭抄乐镇、龙凤村通过红白理事会、村规民约、积分超市破除高价彩礼大操大办。","农民日报 2026-08-23 第1版","2026-08-23T00:00:00Z","报道",89,{"impact":334,"substance":18,"depth":19,"authority":335,"freshness":135,"relevant":22,"comment":336},25,15,"农民日报头版报道贵州乡村振兴差异化路径，涵盖脱贫成果、文体品牌及乡风治理，数据详实，影响广泛，权威性高，时效性强。",[338],{"name":329,"url":327},[340,27,341,342,343,344],"乡村治理","村BA","贵州","和美乡村","村超",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":347},{"candidates":348,"agricultural_evidence":45,"reason":46},[349,354],{"code":350,"score":22,"supported":14,"title":351,"abstract":352,"tags":353},"G5",[],[],[340],{"code":40,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},[],[],[27],[359,360],"乡村治理 和美乡村 防返贫 村超","乡村治理 和美乡村","乡村治理和美乡村防返贫村超-887","2026-08-24T00:06:08.915457Z"]