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6 耕地流转的RIF回归分解结果
Table 6 RIF regression decomposition results of cultivated land transfer
项目 耕地转入 耕地转出
Q25 Q50 Q75 Q25 Q50 Q75
总分解
总差异 -2545.474*** -4291.637*** -9254.561*** -1415.447** -2944.403*** -3466.936**
特征效应 -205.93 -233.253 -653.843 -306.552 -554.879* -865.99
贡献/% 8.077 5.435 7.065 21.657 18.845 39.359
系数效应 -2339.544*** -4058.384*** -8600.718*** -1108.895* -2389.524*** -2600.946**
贡献/% 91.923 94.565 92.935 78.343 81.155 60.641
特征效应
耕地面积 -93.677 -260.655* -373.642 3.444 9.584 13.738
家庭人数 81.276 164.447* 455.601* -48.57 -98.272 -272.263
家庭劳动力占比 -14.432 -68.304 -139.523 17.742 83.969 171.522
是否为兼业农户 24.003 32.966 38.192 -163.797 -224.968 -260.627
家庭人均固定资产 -56.598 -118.844 -271.888 -45.465 -95.465 -218.404
户主性别 -10.36 29.728 -47.615 0.27 -0.775 1.242
户主年龄 -31.436 145.345 -14.221 18.587 -85.936 8.408
户主受教育年限 -102.539* -155.886* -301.814* -102.833* -156.333* -302.681**
户主身份 -2.167 -2.051 1.067 14.069 13.319 -6.925
系数效应
耕地面积 204.056 140.985 -2020.906 -14.193 -139.905 -91.162
家庭人数 2886.914 4673.959 6123.957 560.892 641.029 1105.304
家庭劳动力占比 617.929 728.049 7283.418 -551.321 -3178.033* -2363.276
是否为兼业农户 -205.934 305.292 -413.395 -908.692 80.291 1891.188
家庭人均固定资产 -1250.737 -2517.97*** -5359.507*** -685.014* -1958.837*** -2208.427***
户主性别 -249.376 7951.862 5631.627 371.141 -390.137 6105.542
户主年龄 -899.614 -369.454 521.277 -2940.474 1578.981 1591.95
户主受教育年限 -83.169 -5743.016** -12580.21** 2143.789 2404.135 3961.372
户主身份 312.487 279.206 143.208 443.765 568.632 128.847
常数项 -3672.1 -9507.299 -7930.188 471.211 -1995.681 -12722.28