计算智能和神经科学
研究文章

基于工业碳排放计算和影响因素分析大数据的“双碳”时代

表7

分解的行业中碳排放的影响因素。
行业数量 D新兴市场 D等 D西文 DEE DEP 累计值
2 −1954.24 −765.84 258.51 3187.93 −4809.65 −4083.29
3 −776.58 3674.68 −3017.86 −3529.69 −1017.05 −4666.5
5 −1892.08 3859.53 −4617.92 −2630.71 −2928.64 −8209.82
8 −1319.76 −5874.43 5950.63 −837.32 52.89 −2027.99
9 −5411.27 −3464.94 −634.47 −2346.2 −359.91 −12216.79
10 −4923.52 −8808.6 5251.45 −356.88 −2394.72 −11232.27
11 1292.57 −7236.2 −4804.68 −2046.37 −1234.21 −14028.89
12 −4618.68 3567.67 −6738.01 488.16 −6486.22 −13787.08
17 −1395.08 −1907.97 1760.38 −1232.53 −2123.94 −4899.14
21 −3990.99 −9009.1 6436.27 2718.01 −2713.72 −6559.53
22 −3678.45 −12873 10579.15 1154.72 274.17 −4543.41
23 −9047.62 493.57 −8218.17 3439.91 −5764.25 −19096.56
24 −8102.93 4797.24 −1944.47 −3106.02 −811.04 −9167.22
25 −667.85 2268.82 −1740.46 −794.77 −1195.08 −2129.34
26 −132.99 1179.06 −124.64 369.08 −1755.25 −464.74
27 −3354.22 −2214.37 318.9 936.92 −1143.38 −5456.15
28 −1344.72 −173.52 137.18 −498.4 378.39 −1501.07
31日 −5946.8 −5804.74 1354.16 1029.88 2064.06 −7303.44
32 −9714.97 −7651.11 −1177.19 −353.38 −434.54 −19331.19
34 −7687.81 −12436.79 6090.77 1456.52 −756.03 −13333.34