中国有色金属采选企业用地时空格局演化及其驱动力
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魏长河, 雷梅
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Spatio-temporal evolution and its driving factors of non-ferrous mining sites in China
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WEI Changhe, LEI Mei
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表6 空间滞后模型(SLM)与最小二乘回归(OLS)结果及其性能对比(2019年)
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Tab. 6 Parameters of Spatial Lag Model (SLM) and Least Squares Regression (OLS) results (2019)
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| 自变量 | 空间滞后模型(SLM) | | 最小二乘回归(OLS) | | 回归系数 | 标准差 | z值 | p值 | 回归系数 | 标准差 | t统计 | p值 | | EEP | 1.601 | 4.317 | 0.371 | 0.711 | | 0.184 | 4.485 | 0.041 | 0.967 | | Reserve_ore | 19.030 | 3.638 | 5.231 | 0.000 | 19.171 | 3.787 | 5.062 | 0.000 | | NFEs_1980 | 38.992 | 3.894 | 10.013 | 0.000 | 39.910 | 4.038 | 9.884 | 0.000 | | DST | -2.425 | 4.335 | -0.559 | 0.576 | -2.205 | 4.513 | -0.489 | 0.625 | | AP | -6.159 | 6.386 | -0.964 | 0.335 | -7.170 | 6.648 | -1.078 | 0.282 | | AT | 10.562 | 6.921 | 1.526 | 0.127 | 13.051 | 7.198 | 1.813 | 0.071 | | Slope | 9.773 | 4.743 | 2.060 | 0.039 | 10.538 | 4.933 | 2.136 | 0.033 | | TWR | -1.881 | 3.802 | -0.495 | 0.621 | -1.028 | 3.941 | -0.261 | 0.794 | | LP | 1.976 | 3.990 | 0.495 | 0.620 | 1.265 | 4.145 | 0.305 | 0.760 | | Income | -6.284 | 4.270 | -1.472 | 0.141 | -6.371 | 4.445 | -1.433 | 0.153 | | NIPs | 15.291 | 3.667 | 4.170 | 0.000 | 14.510 | 3.801 | 3.818 | 0.000 | | Index_IP | 19.647 | 3.872 | 5.074 | 0.000 | 21.252 | 4.007 | 5.303 | 0.000 | | EI% | -5.763 | 3.408 | -1.691 | 0.091 | -5.669 | 3.546 | -1.599 | 0.111 | | Index_ER | -12.169 | 4.501 | -2.703 | 0.007 | -15.256 | 4.531 | -3.367 | 0.001 | | GIO | -2.220 | 5.586 | -0.397 | 0.691 | -2.328 | 5.812 | -0.400 | 0.689 | | SP% | -0.170 | 3.341 | -0.051 | 0.959 | -0.317 | 3.478 | -0.091 | 0.927 | | 赤池信息量准则(AIC) = 3775.86 | | 赤池信息量准则(AIC) = 3782.35 | | 施瓦兹准则(SC) = 3844.78 | | 施瓦兹准则(SC) = 3847.44 | | 对数似然估计(Log-lik) = -1869.93 | | 对数似然估计(Log-lik) = -1874.17 | | 拟合优度R2 = 0.620
Likelihood Ratio Test=8.487 (p = 0.0036) | | 拟合优度R2 = 0.609 |
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