Research Article
Modeling Intercity CO2 Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales
Table 2
Basic statistics of characteristic indicators of CO2 trading network under each scenario.
| Scenario | Indicator | Maximum | Minimum | Mean | S.E | Mean | Eastern | Central | Western |
| National-affordability | Degree | 96 | 86 | 91 | 4.99 | 91 | 90 | 91 | Degree centrality | 0.53 | 0.48 | 0.50 | 0.03 | 0.50 | 0.50 | 0.51 | Closeness centrality | 6.63 | 0.59 | 4.34 | 1.62 | 4.16 | 4.19 | 5.39 |
| National-equality | Degree | 102 | 80 | 90 | 10.9193 | 90 | 89 | 92 | Degree centrality | 0.56 | 0.44 | 0.50 | 0.06 | 0.50 | 0.49 | 0.51 | Closeness centrality | 23.88 | 2.79 | 14.81 | 5.48 | 14.70 | 14.01 | 18.17 |
| Regional-affordability | Degree | 74 | 23 | 44 | 12.91 | 44 | 47 | 30 | Degree centrality | 0.41 | 0.13 | 0.24 | 0.07 | 0.24 | 0.26 | 0.16 | Closeness centrality | 3.68 | 0.25 | 2.60 | 0.94 | 2.38 | 2.68 | 2.86 |
| Regional-equality | Degree | 79 | 21 | 42 | 14.23 | 42 | 45 | 31 | Degree centrality | 0.44 | 0.12 | 0.23 | 0.08 | 0.23 | 0.25 | 0.17 | Closeness centrality | 7.92 | 0.37 | 5.61 | 1.98 | 5.64 | 5.47 | 6.04 |
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