Research Article
China’s Spatial Economic Network and Its Influencing Factors
Table 5
Centrality of China’s spatial economic network in 2019.
| Provinces | Degree centrality | Betweenness centrality | Out-degree | In-degree | Benefit or not | Centrality | Centrality |
| Beijing | 5 | 23 | Benefit | 80 | 10.061 | Tianjing | 6 | 23 | Benefit | 80 | 10.061 | Hebei | 6 | 5 | Overflow | 20 | 0.097 | Shanxi | 6 | 4 | Overflow | 20 | 0.097 | Inner Mongoria | 7 | 14 | Benefit | 56.667 | 3.704 | Liaoning | 6 | 3 | Overflow | 20 | 0.05 | Jilin | 7 | 2 | Overflow | 23.333 | 0.138 | Heilongjiang | 9 | 2 | Overflow | 30 | 0.563 | Shanghai | 8 | 26 | Benefit | 90 | 13.07 | Jiangsu | 4 | 26 | Benefit | 86.667 | 12.041 | Zhejiang | 6 | 16 | Benefit | 53.333 | 3.334 | Anhui | 3 | 10 | Benefit | 33.333 | 0.626 | Fujian | 9 | 7 | Overflow | 40 | 1.27 | Jiangxi | 8 | 6 | Overflow | 26.667 | 0.297 | Shandong | 8 | 14 | Benefit | 56.667 | 2.532 | Henan | 7 | 8 | Benefit | 26.667 | 0.325 | Hubei | 7 | 7 | — | 33.333 | 0.322 | Hunan | 9 | 4 | Overflow | 30 | 0.406 | Guangdong | 10 | 8 | Overflow | 36.667 | 1.064 | Guangxi | 8 | 3 | Overflow | 26.667 | 0.363 | Hainan | 7 | 1 | Overflow | 23.333 | 0.259 | Chongqing | 9 | 6 | Overflow | 33.333 | 0.459 | Sichuan | 9 | 2 | Overflow | 30 | 0.457 | Guizhou | 11 | 4 | Overflow | 40 | 1.02 | Yunnan | 10 | 2 | Overflow | 33.333 | 0.66 | Tibet | 11 | 0 | Overflow | 36.667 | 0.807 | Shaanxi | 9 | 2 | Overflow | 33.333 | 0.256 | Gansu | 11 | 5 | Overflow | 36.667 | 0.837 | Qinghai | 6 | 1 | Overflow | 20 | 0.08 | Ningxia | 6 | 1 | Overflow | 20 | 0.08 | Xinjiang | 7 | 0 | Overflow | 23.333 | 0.184 |
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