贫困村空间分布及影响因素分析——以乌蒙山连片特困区为例
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梁晨霞, 王艳慧, 徐海涛, 齐文平, 程序, 赵文吉
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Analyzing spatial distribution of poor villages and their poverty contributing factors: A case study from Wumeng Mountain Area
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Chenxia LIANG, Yanhui WANG, Haitao XU, Wenping QI, Xu CHENG, Wenji ZHAO
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| 表8 县级变量筛选结果 |
| Tab. 8 County-level variable screening results |
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| 影响因素 | 一次筛选 | | 二次筛选 | | 三次筛选 | | 四次筛选 | | B0 | B1 | B0 | B1 | B0 | B1 | B0 | B1 | | 经济维度 | 人均地方生产总值 | 28.680 | 0.216 | | 28.687 | -1.966 | | - | -0.732 | | - | 2.515 | | 人均收入 | 26.073 | -0.123 | | 26.065 | -2.456 | | 26.059 | -0.749 | | 26.072 | 2.617 | | 社会维度 | 学前三年毛入园率 | 25.451 | 0.166 | | 25.428 | -2.483 | | 25.449 | -0.797 | | 25.453 | 2.650 | | 高中教育毛入学率 | 26.851 | 0.104 | | 26.849 | -2.530 | | 26.847 | -0.703 | | 26.847 | 2.431 | | 万人床位数 | 26.013 | -0.385 | | 26.008 | -2.556 | | 26.005 | -0.772 | | 26.013 | 3.057 | | 万人医生数 | 26.129 | 0.055 | | 26.133 | -2.144 | | 26.132 | -0.879 | | 26.136 | 2.742 | | 通水泥/沥青公路的行政村比例 | 26.421 | -0.303 | | 26.418 | -2.484 | | 26.117 | -0.811 | | 26.117 | 3.197 | | 通客运班车的行政村比例 | 26.414 | -0.223 | | 26.412 | -2.520 | | 26.406 | -0.915 | | 26.400 | 3.080 | | 生态维度 | 海拔高度 | 27.661 | 0.233 | | 27.638 | -2.327 | | 27.643 | -0.501 | | - | 2.569 | | 地形起伏度 | 25.936 | -0.059 | | 25.940 | -2.038 | | 25.937 | -0.340 | | 25.935 | 2.295 | | 植被覆盖率 | 29.492 | 0.382 | | - | -2.505 | | - | -0.778 | | - | 2.552 | | 多年平均降雨量 | 26.455 | -0.144 | | 26.470 | -2.488 | | 26.467 | -0.726 | | 26.451 | 2.583 |
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