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3 空间马尔科夫转移概率矩阵N (k=4)
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Tab. 3 Spatial Markov transition probability matrix (k=4)
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Lag | t\t+1 | 1 | 2 | 3 | 4 | 1 | 1 | P11|1 | P12|1 | P13|1 | P14|1 | 2 | P21|1 | P22|1 | P23|1 | P24|1 | 3 | P31|1 | P32|1 | P33|1 | P34|1 | 4 | P41|1 | P42|1 | P43|1 | P44|1 | 2 | 1 | P11|2 | P12|2 | P13|2 | P14|2 | 2 | P21|2 | P22|2 | P23|2 | P24|2 | 3 | P31|2 | P32|2 | P33|2 | P34|2 | 4 | P41|2 | P42|2 | P43|2 | P44|2 | 3 | 1 | P11|3 | P12|3 | P13|3 | P14|3 | 2 | P21|3 | P22|3 | P23|3 | P24|3 | 3 | P31|3 | P32|3 | P33|3 | P34|3 | 4 | P41|3 | P42|3 | P43|3 | P44|3 | 4 | 1 | P11|4 | P12|4 | P13|4 | P14|4 | 2 | P21|4 | P22|4 | P23|4 | P24|4 | 3 | P31|4 | P32|4 | P33|4 | P34|4 | 4 | P41|4 | P42|4 | P43|4 | P44|4 |
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