Research Article

Carbon Transfer Decision Model Based on LMDI Method

Table 2

LMDI decomposition results in 2017.

ProvinceTotal effectTotal effectTotal effectTechnical effectStructural effectInput-output effectScale effect

Year2012201520172017
Beijing1.441.110.931.30−−0.17−0.15−0.05
Tianjin0.900.870.130.35−0.030.10−0.29
Hebei−1.85−1.87−1.00−0.630.15−0.800.27
Shanxi−1.50−1.46−1.65−0.79−0.920.85−0.78
Inner Mongolia−1.65−2.44−2.85−1.55−1.341.09−1.05
Liaoning−0.54−0.66−1.31−0.58−0.550.14−0.32
Jilin0.180.24−0.04−0.170.390.35−0.61
Heilongjiang0.39−0.050.07−0.680.181.00−0.43
Shanghai1.540.47−0.090.220.37−0.45−0.24
Jiangsu−0.27−0.730.020.310.76−3.052.00
Zhejiang0.671.561.780.960.21−0.340.93
Anhui−0.73−0.32−0.640.040.20−0.63−0.24
Fujian0.25−0.22−0.430.23−0.33−0.33−0.01
Jiangxi−0.010.180.150.250.190.13−0.41
Shandong−0.74−0.60−1.040.04−0.44−1.991.35
Henan−0.63−0.091.100.700.62−1.761.55
Hubei0.391.090.380.000.020.170.20
Hunan0.040.520.860.150.59−0.090.22
Guangdong2.611.432.411.281.31−2.101.92
Guangxi0.300.31−0.10−0.11−0.030.34−0.30
Hainan0.180.18−0.01−0.02−0.010.44−0.42
Chongqing0.201.600.730.130.700.28−0.39
Sichuan−0.26−0.030.260.230.04−0.200.19
Guizhou−0.51−0.39−0.10−0.07−0.340.86−0.55
Yunnan0.240.941.090.060.041.07−0.08
Tibet0.080.040.180.090.050.11−0.07
Shaanxi0.290.110.53−0.160.440.57−0.32
Gansu−0.31−0.27−0.30−0.10−0.310.66−0.54
Qinghai0.01−0.050.080.00−0.060.30−0.18
Ningxia−0.58−0.63−0.46−0.42−0.761.52−0.80
Xinjiang−0.14−0.86−0.66−1.05−0.931.89−0.57