[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2217":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"view_count":31,"doi":8,"paper":32,"created_at":41},2217,"《数字经济参与与农场扩张:来自中国主要粮食产区农地租赁市场进入和经营耕地面积的证据》","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1677","Caihua Xu等(长安大学、西北农林科技大学)基于安徽、河南、河北、山东四省1025户农户调查数据,考察农民在数字化农业活动中的参与是否与中国主要粮食产区的农场扩张相关。数字经济参与通过采购、生产、供销、金融四个农业价值链阶段衡量,农场扩张通过进入农地租赁市场和经营耕地面积对数两个结果衡量。采用双重\u002F去偏机器学习框架灵活调整观察到的家庭、地方和县级协变量及潜在非线性关系。数字经济参与与两个结果均呈正相关。",null,"Land 2026年9月10日","2026-09-10T00:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},16,21,18,13,8,1,"基于四省1025户调查与双重机器学习方法，为数字农业参与促进农地租赁与规模经营提供了实证证据，对数字乡村与适度规模经营政策有参考价值。",[24],{"name":9,"url":6},[26,27,28,29,30],"机器学习","数字经济","粮食主产区","土地流转","农场扩张",0,{"doi":8,"openalex_id":8,"authors":33,"venue":8,"cited_by_count":31,"oa_url":8,"card":34,"direction":38,"ingested_from":40},[],{"tldr":35,"method":36,"finding":37,"direction":38,"opportunity":39},"基于四省1025户调查，研究农户数字经济参与是否促进农场扩张。","安徽等四省1025户调查数据，双重\u002F去偏机器学习框架。","数字经济参与与农地租赁市场进入和经营耕地面积均呈正相关。","数字乡村与农业信息化","可探究数字经济参与促进农场扩张的因果机制及不同价值链阶段的异质性效应。","agent","2026-09-12T00:06:40.676162Z"]