中国县域碳排放的时空演变及影响因素
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王少剑, 谢紫寒, 王泽宏
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The spatiotemporal pattern evolution and influencing factors of CO2 emissions at the county level of China
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WANG Shaojian, XIE Zihan, WANG Zehong
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表3 人均碳排放的影响因素面板分位数模型回归估计结果
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Tab. 3 The quantile regression model estimation results of influencing factors of per capita CO2 emissions
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| 影响因素 | 分位数 | 固定效应 | | 10th | 25th | 50th | 75th | 90th | | lnPopDen | -0.18218***
(-28.555) | -0.15187***
(-21.685) | -0.17282***
(-27.010) | -0.24991***
(-54.692 ) | -0.29087***
(-39.553) | -0.20069***
(-76.88) | | lnCI | 0.90664***
(158.487) | 0.90433***
(171.892) | 0.89386***
(205.112) | 0.85964***
(153.908) | 0.83368***
(113.389) | 0.95526***
(342.30) | | lnIS | 0.26706***
(25.618) | 0.16169***
(19.225) | 0.14599***
(18.188) | 0.21041***
(30.355) | 0.25208***
(34.522) | 0.30189***
(78.71) | | lnPFE | 0.05451***
(-10.758) | 0.08925***
(26.564) | 0.15641***
(24.127) | 0.18372***
(29.201) | 0.15736***
(13.609) | -0.05577***
(-9.77) | | lnPGDP | -5.78257***
(12.350) | -4.82953***
(-3.245) | -2.84177 ***
(-4.162) | 0.65888
(0.555) | 2.23077
(1.620) | 1.48360***
(3.06) | | lnPGDP2 | 0.74913***
(-12.793) | 0.65329***
(3.775) | 0.43963 ***
(5.697) | 0.06170
(0.456) | -0.12378
(-0.788) | -0.10288
(-1.95) | | lnPGDP3 | -0.02913***
(6.010) | -0.02523***
(-3.775) | -0.01738 ***
(-5.991) | -0.00433
(-0.847) | 0.00265
(0.447) | 0.00335
(1.76) |
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