基于超效率SBM模型的中国城市碳排放绩效时空演变格局及预测
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王少剑, 高爽, 黄永源, 史晨怡
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Spatio-temporal evolution and trend prediction of urban carbon emission performance in China based on super-efficiency SBM model
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WANG Shaojian, GAO Shuang, HUANG Yongyuan, SHI Chenyi
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表5 1992—2013年中国城市碳排放绩效类型空间马尔科夫转移概率矩阵
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Tab. 5 Spatial Markov matrix for carbon emission perfor-mance classes at the city level of China in 1992-2013
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邻域类型 | t\t+1 | n | 1 | 2 | 3 | 4 | 1 | 1 | 807 | 0.7720 | 0.1437 | 0.0595 | 0.0248 | 2 | 313 | 0.1565 | 0.6006 | 0.1821 | 0.0607 | 3 | 206 | 0.0388 | 0.2330 | 0.5631 | 0.1650 | 4 | 176 | 0.0341 | 0.0455 | 0.1364 | 0.7841 | 2 | 1 | 470 | 0.7319 | 0.2000 | 0.0553 | 0.0128 | 2 | 436 | 0.1124 | 0.6651 | 0.1789 | 0.0436 | 3 | 321 | 0.0218 | 0.2274 | 0.5919 | 0.1589 | 4 | 256 | 0.0430 | 0.0313 | 0.1953 | 0.7305 | 3 | 1 | 182 | 0.6923 | 0.2253 | 0.0495 | 0.0330 | 2 | 440 | 0.0750 | 0.6841 | 0.2045 | 0.0364 | 3 | 475 | 0.0147 | 0.1537 | 0.6505 | 0.1811 | 4 | 371 | 0.0054 | 0.0296 | 0.2075 | 0.7574 | 4 | 1 | 55 | 0.6000 | 0.3273 | 0.0727 | 0.0000 | 2 | 268 | 0.0709 | 0.6828 | 0.2090 | 0.0373 | 3 | 470 | 0.0085 | 0.1489 | 0.6872 | 0.1553 | 4 | 697 | 0.0014 | 0.0158 | 0.1277 | 0.8551 |
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