[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2035":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},2035,"Family farm development, agricultural technical efficiency and farmers’ income","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1880985","This study examines how family farm development is associated with farmers’ income using prefecture-level panel data from China spanning 2013 to 2024. We employ a two-way fixed-effects framework with standard errors clustered at the prefecture-level city, and measure regional agricultural technical efficiency using data envelopment analysis under variable returns to scale (DEA–VRS). The results show a significant positive association between family farm development and farmers' income, though the magnitude is modest. Instrumental variable estimates confirm the robustness of this association, with coefficients significantly larger than ordinary least squares results, revealing a pattern of negative selection in which family farms develop more rapidly in areas with weaker agricultural conditions. Mechanism tests indicate that agricultural technical efficiency serves as a partial mediator, while direct channels play the dominant role. Interaction-based heterogeneity analysis shows that the income-enhancing association is significantly stronger in western, non-major-grain-producing, and economically less-developed regions, consistent with diminishing marginal returns to organizational innovation. The findings provide empirical evidence for understanding the regional income effects of family farm development and inform the design of regionally differentiated policies.","本研究利用2013—2024年中国地级市面板数据，考察家庭农场发展与农民收入之间的关联。我们采用双向固定效应框架，并将标准误聚类到地级市层面，同时使用可变规模报酬下的数据包络分析（DEA–VRS）测度区域农业技术效率。结果表明，家庭农场发展与农民收入之间存在显著正相关，但幅度较为有限。工具变量估计证实了该关联的稳健性，且系数显著大于普通最小二乘结果，揭示出一种负向选择模式，即家庭农场在农业条件较弱的地区发展更快。机制检验表明，农业技术效率发挥部分中介作用，而直接渠道占主导地位。基于交互项的异质性分析显示，这种增收关联在西部、非粮食主产区和经济欠发达地区显著更强，这与组织创新的边际收益递减规律相一致。研究结论为理解家庭农场发展的区域收入效应提供了经验证据，并为区域差异化政策设计提供了参考。",null,"Frontiers in Sustainable Food Systems","2026-09-09T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,21,17,13,9,1,"基于2013—2024年地级面板数据与DEA-VRS、工具变量法的实证研究，结论扎实且具区域差异化政策含义，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"农民增收","家庭农场","农业政策","区域差异","农业技术效率",0,"10.3389\u002Ffsufs.2026.1880985",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":6,"card":44,"direction":48,"ingested_from":50},"W7212082704",[37,40,42],{"name":38,"orcid":39},"Lin Fang","https:\u002F\u002Forcid.org\u002F0009-0001-1710-8144",{"name":41,"orcid":9},"Jingyu YIN",{"name":43,"orcid":9},"Zhou Fangzhou",{"tldr":45,"method":46,"finding":47,"direction":48,"opportunity":49},"基于中国地级市面板数据，检验家庭农场发展对农民收入的关联及农业技术效率的中介作用。","2013-2024年地级市面板数据，双向固定效应、DEA-VRS测效率、工具变量","家庭农场发展与农民收入显著正相关但幅度有限，技术效率仅部分中介，直接渠道主导，西部和欠发达地区效应更","数字乡村与农业信息化","可探究数字技术\u002F信息化服务如何增强家庭农场对农民收入的直接渠道，并关注欠发达地区的异质性机制。","openalex","2026-09-10T23:30:07.795645Z"]