From: Energy efficiency in China: optimization and comparison between hydropower and thermal power
DMU | Thermal power | Hydropower | ||||||
---|---|---|---|---|---|---|---|---|
2013 | 2017 | 2013 | 2017 | |||||
Rank | TGR | Rank | TGR | Rank | TGR | Rank | TGR | |
Beijing | 27 | 0.2300 | 10 | 0.9868 | 1 | 1 | 11 | 0.9693 |
Tianjin | 18 | 0.3924 | 1 | 1 | – | – | – | – |
Hebei | 19 | 0.3785 | 9 | 0.9953 | 1 | 1 | 20 | 0.7903 |
Liaoning | 21 | 0.3434 | 1 | 1 | 1 | 1 | 23 | 0.7206 |
Shanghai | 13 | 0.4513 | 1 | 1 | – | – | – | – |
Jiangsu | 15 | 0.4346 | 18 | 0.9346 | 1 | 1 | 17 | 0.8294 |
Zhejiang | 16 | 0.4256 | 7 | 0.9988 | 1 | 1 | 26 | 0.6332 |
Fujian | 17 | 0.4012 | 1 | 1 | 28 | 0.3171 | 28 | 0.2749 |
Shandong | 11 | 0.4984 | 8 | 0.9975 | 1 | 1 | 19 | 0.7970 |
Guangdong | 12 | 0.4732 | 1 | 1 | 26 | 0.6851 | 25 | 0.6834 |
Hainan | 22 | 0.2960 | 6 | 0.9999 | 1 | 1 | 24 | 0.6968 |
Eastern mean | 2 | 0.3931 | 1 | 0.9921 | 3 | 0.8891 | 3 | 0.7105 |
Shanxi | 1 | 1 | 14 | 0.9621 | 19 | 0.9639 | 22 | 0.7844 |
Inner Mongolia | 1 | 1 | 29 | 0.7951 | 25 | 0.9248 | 21 | 0.7852 |
Jilin | 1 | 1 | 11 | 0.9807 | 18 | 0.9809 | 15 | 0.8479 |
Heilongjiang | 1 | 1 | 13 | 0.9644 | 17 | 0.9819 | 18 | 0.8262 |
Anhui | 1 | 1 | 24 | 0.8787 | 21 | 0.9529 | 16 | 0.8346 |
Jiangxi | 1 | 1 | 12 | 0.9784 | 15 | 0.9859 | 13 | 0.9210 |
Henan | 1 | 1 | 20 | 0.8973 | 16 | 0.9858 | 14 | 0.8505 |
Hubei | 1 | 1 | 17 | 0.9386 | 27 | 0.4717 | 27 | 0.4521 |
Hunan | 1 | 1 | 16 | 0.9472 | 13 | 0.9908 | 9 | 0.9752 |
Guangxi | 10 | 0.9951 | 15 | 0.9586 | 14 | 0.9904 | 10 | 0.9732 |
Central mean | 1 | 0.9995 | 2 | 0.9301 | 2 | 0.9229 | 2 | 0.8250 |
Chongqing | 28 | 0.1988 | 28 | 0.8415 | 23 | 0.9458 | 6 | 0.9969 |
Sichuan | 30 | 0.1805 | 26 | 0.8702 | 1 | 1 | 1 | 1 |
Guizhou | 24 | 0.2760 | 19 | 0.9073 | 22 | 0.9478 | 7 | 0.9934 |
Yunnan | 29 | 0.1834 | 22 | 0.8953 | 1 | 1 | 1 | 1 |
Shaanxi | 23 | 0.2871 | 25 | 0.8775 | 24 | 0.9405 | 12 | 0.9525 |
Gansu | 26 | 0.2371 | 23 | 0.8943 | 1 | 1 | 8 | 0.9836 |
Qinghai | 25 | 0.2432 | 27 | 0.8678 | 1 | 1 | 5 | 0.9971 |
Ningxia | 14 | 0.4346 | 21 | 0.8963 | 12 | 0.9982 | 1 | 1 |
Xinjiang | 20 | 0.3764 | 30 | 0.7187 | 20 | 0.9616 | 1 | 1 |
Western mean | 3 | 0.2686 | 3 | 0.8632 | 1 | 0.9771 | 1 | 0.9915 |