地形差异视角下耕地流转对农户收入差距的影响及其分解——以黄河流域中上游1879份农户数据为例
牛文浩, 申淑虹, 罗岚, 柴朝卿, 张蚌蚌, 李玉恒, 郑伟伟, 孔祥斌

The impacts and its decomposition of cultivated land transfer on rural households' income gap from the perspective of terrain difference: A case study of 1879 survey data of rural households in the middle and upper reaches of the Yellow River Basin
NIU Wen-hao, SHEN Shu-hong, LUO Lan, CHAI Chao-qing, ZHANG Bang-bang, LI Yu-heng, ZHENG Wei-wei, KONG Xiang-bin
表8 地形差异下耕地转出的RIF回归分解结果
Table 8 RIF regression decomposition results of renting-out cultivated land under terrain difference
项目 平原 山区
Q25 Q50 Q75 Q25 Q50 Q75
总分解
总差异 -1332.933 -2855.256** -3161.584 -1263.333 -1986.126 -2817.5
特征效应 -211.086 -761.916 -1388.962* -975.023** -1687.230** -1884.448*
贡献/% 15.836 26.685 43.932 77.179 84.951 66.884
系数效应 -1121.847 -2093.341* -1772.622 -288.31 -298.896 -933.052
贡献/% 84.164 73.315 56.068 22.821 15.049 33.116
特征效应
耕地面积 52.562 63.538 33.69 -8.814 -40.135 -42.722
家庭人数 -589.138*** -991.348*** -1617.117*** 33.185 47.741 607.646*
家庭劳动力占比 23.313 142.219 303.84 -8.761 10.505 52.987
是否为兼业农户 139.564 144.612 119.188 -635.148* -1010.395** -1404.081*
家庭人均固定资产 17.412 32.876 80.957 -86.606 -170.015 -369.208
户主性别 3.338 15.282 -90.737 9.504 -25.614 -84.61
户主年龄 63.213 -77.808 34.81 38.931 -71.529 7.295
户主受教育年限 -1.506 -17.765 -16.034 -308.241** -378.377* -607.707**
户主身份 80.155 -73.522 -237.559 -9.072 -49.411 -44.048
系数效应
耕地面积 164.337 190.234 -445.916 -699.553 -411.647 -1193.91
家庭人数 -1839.897 169.97 -2552.709 368.727 -3420.587 -5367.138
家庭劳动力占比 -1599.608 -3905.899* -128.387 -471.739 52.972 -2593.948
是否为兼业农户 -1882.436** -1314.695 -905.876 -108.459 2829.767 4936.606*
家庭人均固定资产 -862.383 -2680.286*** -3844.568*** -205.179 -400.377 2.414
户主性别 2699.086 -1025.533 9642.26 317.842 1130.13 2654.964
户主年龄 -8116.062* 2898.616 -9408.28 1382.246 -7128.645 10854.32
户主受教育年限 344.558 695.87 -2677.898 4204.933* 1999.638 11081.22**
户主身份 441.713 857.671 1364.12 455.584 -317.108 -840.882
常数项 9528.844 2020.712 7184.632 -5532.712 5366.961 -20466.69