Research Article
Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models
Table 4
Overall pure technical efficiency (assuming VRS).
| | Area | Province | Model 1 | Model 8 | | | | |
| | East | Beijing | 1.000 | 1.000 | 0.977 | 0.972 | 0.962 | | Tianjin | 1.000 | 1.000 | 1.029 | 1.037 | 1.053 | | Hebei | 1.000 | 1.000 | 1.085 | 1.109 | 1.154 | | Liaoning | 1.000 | 1.000 | 1.057 | 1.073 | 1.102 | | Shanghai | 1.000 | 1.000 | 1.129 | 1.165 | 1.234 | | Jiangsu | 1.000 | 1.000 | 1.080 | 1.102 | 1.144 | | Zhejiang | 1.000 | 1.000 | 1.006 | 1.007 | 1.010 | | Fujian | 0.996 | 0.996 | 0.910 | 0.897 | 0.876 | | Shandong | 1.000 | 1.000 | 1.080 | 1.103 | 1.145 | | Guangdong | 1.000 | 1.000 | 1.097 | 1.125 | 1.176 | | Hainan | 1.000 | 1.000 | 1.027 | 1.035 | 1.049 |
| | Central | Shanxi | 1.000 | 1.000 | 1.019 | 1.025 | 1.034 | | Nei Mongol | 1.000 | 1.000 | 1.040 | 1.047 | 1.058 | | Jilin | 1.000 | 1.000 | 0.975 | 0.969 | 0.960 | | Heilongjiang | 1.000 | 1.000 | 1.024 | 1.031 | 1.043 | | Anhui | 1.000 | 1.000 | 1.048 | 1.061 | 1.086 | | Jiangxi | 1.000 | 1.000 | 1.072 | 1.092 | 1.130 | | Henan | 1.000 | 1.000 | 1.058 | 1.074 | 1.105 | | Hubei | 1.000 | 1.000 | 0.969 | 0.963 | 0.960 | | Hunan | 1.000 | 1.000 | 1.076 | 1.095 | 1.128 | | Guangxi | 0.895 | 0.895 | 0.877 | 0.881 | 0.887 |
| | West | Chongqing | 1.000 | 1.000 | 0.929 | 0.915 | 0.894 | | Sichuan | 0.853 | 0.853 | 0.834 | 0.834 | 0.833 | | Guizhou | 1.000 | 1.000 | 1.051 | 1.064 | 1.085 | | Yunnan | 0.622 | 0.622 | 0.495 | 0.497 | 0.503 | | Shaanxi | 1.000 | 1.000 | 1.023 | 1.027 | 1.035 | | Gansu | 1.000 | 1.000 | 1.038 | 1.049 | 1.069 | | Qinghai | 1.000 | 1.000 | 1.159 | 1.201 | 1.280 | | Ningxia | 1.000 | 1.000 | 1.042 | 1.054 | 1.076 | | Xinjiang | 1.000 | 1.000 | 0.983 | 0.979 | 0.972 |
| | Average | | 0.979 | 0.979 | 1.006 | 1.016 | 1.035 |
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