Research Article

Research on China’s Regional Carbon Emission Quota Allocation in 2030 under the Constraint of Carbon Intensity

Table 5

Comparison of carbon quota allocation results between MDM and IEM methods.

RegionMDMIEM
Allocation (million tons)Proportion (%)The decline rate of carbon intensity compared to 2005 (%)Allocation (million tons)Proportion (%)The decline rate of carbon intensity compared to 2005 (%)

Beijing161.512.960.16203.273.6549.86
Tianjin99.91.7976.83161.632.962.52
Hebei287.365.1685.59252.494.5387.34
Shanxi153.452.7680.01181.53.2676.36
Inner Mongolia158.772.8582.09192.973.4778.23
Liaoning219.823.9567.83217.153.968.22
Jilin112.732.0277.67146.42.6371.00
Heilongjiang145.632.6261.19166.282.9955.69
Shanghai181.333.2668.17209.63.7663.21
Jiangsu443.77.9773.66319.015.7381.06
Zhejiang290.335.2165.42238.84.2971.56
Anhui190.423.4279.01179.993.2380.16
Fujian168.683.0377.77173.273.1177.16
Jiangxi136.672.4578.36146.62.6376.79
Shandong451.198.180.98331.775.9686.01
Henan304.485.4779.97242.564.3684.04
Hubei217.363.982.70197.313.5484.30
Hunan220.213.9582.35193.843.4884.46
Guangdong507.019.1157.89332.55.9772.38
Guangxi139.092.576.40147.632.6574.95
Hainan30.460.5553.22104.671.88-60.73
Chongqing113.152.0383.06144.682.678.34
Sichuan244.974.475.12203.223.6579.36
Guizhou104.311.8789.51137.622.4786.16
Yunnan128.752.3184.64144.592.682.74
Shaanxi138.472.4979.20154.422.7776.81
Gansu74.151.3376.70117.672.1163.03
Qinghai20.490.3779.2787.861.5811.09
Ningxia33.150.681.90106.521.9141.86
Xinjiang90.471.6280.35132.172.3771.30