Research Article

Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012

Table 3

Effects of different factors of carbon emissions from energy consumption of Shandong province from 1996 to 2012 by Shapley value model.

YearPopulationPer capita
GDP
Industrial
structure
Energy
consumption
intensity
Energy
consumption
structure

199618.6577
(0.1035)
544.7407
(3.0233)
−17.0525
(−0.0946)
−914.0294
(−5.0728)
187.5007
(1.0406)
199725.9293
(2.123)
202.9057
(16.613)
59.0847
(4.8376)
−366.0543
(−29.9708)
90.3483
(7.3973)
199830.9145
(0.0504)
495.6131
(0.808)
24.2287
(0.0395)
218.1564
(0.3557)
−155.5511
(−0.2536)
199928.1396
(0.1791)
672.0179
(4.2778)
−4.8905
(-0.0311)
−626.9532
(−3.9909)
88.7799
(0.5651)
200071.6583
(11.306)
648.8608
(102.3755)
95.146
(15.0119)
−903.1046
(−142.4894)
81.1014
(12.796)
200130.8817
(0.0205)
516.9244
(0.3431)
−40.039
(−0.0266)
640.6682
(0.4252)
358.2127
(0.2378)
200231.6073
(0.1185)
723.4283
(2.7118)
74.862
(0.2806)
−848.6937
(−3.1814)
−247.9752
(−0.9295)
200333.9285
(0.0517)
865.3264
(1.3174)
290.8793
(0.4429)
−408.7098
(−0.6222)
−124.5917
(−0.1897)
200449.8875
(0.0302)
832.7956
(0.504)
279.4521
(0.1691)
347.5003
(0.2103)
142.8168
(0.0864)
200582.8111
(0.02)
634.6065
(0.153)
87.3402
(0.0211)
3850.5752
(0.9281)
−506.2825
(−0.122)
200692.2087
(0.0626)
971.3506
(0.6597)
60.0513
(0.0408)
224.413
(0.1524)
124.2799
(0.0844)
200797.3175
(0.0537)
1374.15
(0.7577)
−103.5861
(−0.0571)
177.2866
(0.0978)
268.2936
(0.1479)
200891.1412
(0.0852)
1331.4664
(1.2452)
−3.2492
(−0.003)
−470.7521
(−0.4402)
120.6902
(0.1129)
2009102.3997
(0.0868)
738.3576
(0.6258)
−199.3902
(−0.169)
643.6489
(0.5455)
−105.1847
(−0.0892)
2010223.6508
(0.163)
2503.4203
(1.8241)
−317.3014
(−0.2312)
−1028.4055
(−0.7494)
−8.9739
(−0.0065)
2011126.0607
(0.0933)
1436.9178
(1.0631)
−294.2589
(−0.2177)
−163.7351
(−0.1211)
246.6197
(0.1825)
2012111.2845
(0.0659)
1012.5553
(0.5997)
−396.3759
(−0.2348)
958.3766
(0.5676)
2.6483
(0.0016)
Cumulative effect1248.4783
(0.0684)
15505.4374
(0.85)
−405.0995
(−0.0222)
1330.1876
(0.0729)
562.7325
(0.0308)

Unit: ten thousand tons.
Note: data in the parentheses denote effect contribution of each factor.