Research Article
Modeling Intercity CO2 Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales
Table 1
Basic statistics of CO2 emission quotas and trading volume under each scenario.
| Scenario | Carbon | Maximum | Minimum | Mean | S.E | Mean | Eastern | Central | Western |
| National-affordability | Emission quotas | 272.61 | 0.93 | 41.81 | 35.48 | 41.48 | 42.06 | 41.78 | Trading volume | 163.11 | 0.27 | 30.96 | 28.68 | 29.91 | 31.47 | 31.85 | National-equality | Emission quotas | 269.25 | 2.06 | 41.81 | 34.54 | 48.05 | 37.25 | 42.15 | Trading volume | 150.35 | 0.10 | 25.41 | 24.99 | 25.64 | 24.10 | 29.81 | Regional-affordability | Emission quotas | 268.82 | 0.92 | 41.81 | 37.80 | 51.94 | 34.70 | 41.20 | Trading volume | 160.62 | 0.05 | 30.26 | 27.86 | 31.17 | 28.19 | 31.51 | Regional-equality | Emission quotas | 263.17 | 2.02 | 41.81 | 35.66 | 51.94 | 34.70 | 41.20 | Trading volume | 148.52 | 0.04 | 25.23 | 24.98 | 26.76 | 23.07 | 29.33 |
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