基于水-土要素匹配视角的农业碳排放时空分异及影响因素——以长江经济带为例
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王若梅,马海良,王锦
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Spatial and temporal differences of agricultural carbon emissions and impact factors of the Yangtze River Economic Belt based on a water-land perspective
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Ruomei WANG,Hailiang MA,Jin WANG
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表5 长江经济带各省份市农业碳排放影响因素分解
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Table 5 Impact factor decomposition of agricultural carbon emissions in various provinces of the Yangtze River Economic Belt （104 t）
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| 省份 | 碳排放 | | 贡献值 | | 2009 | 2016 | ΔC | ΔCi | ΔCg | ΔCw | ΔCl | ΔCp | | 上海 | 24.1105 | 25.9675 | | 1.8570 | 1.9341 | 3.5779 | -3.7734 | -2.1535 | 2.2719 | | 江苏 | 160.8368 | 201.4956 | | 40.6588 | -76.2217 | 135.4263 | -16.9273 | -5.9322 | 4.3137 | | 浙江 | 161.8361 | 192.6016 | | 30.7655 | -65.0790 | 128.2195 | -31.3040 | -11.2904 | 10.2194 | | 安徽 | 88.2056 | 107.0222 | | 18.8166 | -38.4313 | 62.3981 | -6.1588 | -0.0177 | 1.0262 | | 江西 | 51.1971 | 58.9359 | | 7.7388 | -24.1499 | 32.9516 | -0.9399 | -2.0726 | 1.9497 | | 湖北 | 196.9057 | 190.3076 | | -6.5981 | -150.7106 | 160.9251 | -13.9659 | -8.3519 | 5.5052 | | 湖南 | 186.9928 | 250.4563 | | 63.4635 | -74.9749 | 131.8267 | 5.8934 | -12.9462 | 13.6645 | | 四川 | 122.1268 | 125.0845 | | 2.9577 | -68.8414 | 43.1437 | 28.4184 | -0.9203 | 1.1573 | | 贵州 | 86.1664 | 122.1312 | | 35.9647 | -94.1811 | 119.3638 | 11.5146 | -1.2559 | 0.5234 | | 云南 | 130.3619 | 133.2822 | | 2.9203 | -94.8947 | 95.6165 | 2.9628 | -6.4092 | 5.6449 |
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