Table 8 Production efficiency and healthcare resource utilization efficiencies from 2013–2016
From: Dynamic linkages among economic development, environmental pollution and human health in Chinese
DMU | Cities by income | Region | 2013(I) | 2013(II) | 2014(I) | 2014(II) | 2015(I) | 2015(II) | 2016(I) | 2016(II) |
|---|---|---|---|---|---|---|---|---|---|---|
Beijing | High-income city | East | 1.000 | 1.000 | 1.000 | 0.901 | 1.000 | 0.055 | 0.948 | 0.056 |
Fuzhou | High-income city | East | 0.784 | 1.000 | 0.647 | 1.000 | 0.606 | 1.000 | 0.618 | 1.000 |
Guangzhou | High-income city | East | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Haikou | High-income city | East | 0.625 | 1.000 | 0.533 | 1.000 | 0.517 | 1.000 | 0.514 | 1.000 |
Hangzhou | Upper-middle income city | East | 0.775 | 0.145 | 0.805 | 0.333 | 0.818 | 0.113 | 0.772 | 0.172 |
Jinan | High-income city | East | 0.553 | 0.183 | 0.645 | 0.182 | 0.606 | 0.139 | 1.000 | 1.000 |
Nanjing | High-income city | East | 0.743 | 0.183 | 0.752 | 0.487 | 0.885 | 0.123 | 0.849 | 0.171 |
Shanghai | High-income city | East | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Shijiazhuang | Upper-middle income city | East | 0.361 | 0.155 | 0.367 | 0.191 | 0.346 | 0.115 | 0.318 | 0.106 |
Tianjin | High-income city | East | 0.741 | 0.057 | 0.738 | 0.210 | 0.731 | 0.082 | 0.722 | 0.062 |
Changchun | Upper-middle income city | Northeast | 0.770 | 0.169 | 0.797 | 0.198 | 0.811 | 0.077 | 0.606 | 0.109 |
Harbin | Upper-middle income city | Northeast | 0.743 | 0.114 | 0.769 | 0.156 | 0.775 | 0.068 | 0.539 | 0.119 |
Shenyang | High-income city | Northeast | 0.625 | 0.148 | 0.625 | 0.335 | 0.611 | 0.110 | 0.545 | 0.368 |
Changsha | High-income city | Central | 0.761 | 0.197 | 0.781 | 0.568 | 0.779 | 0.341 | 0.739 | 0.559 |
Hefei | Upper-middle income city | Central | 0.709 | 0.159 | 0.743 | 0.194 | 0.730 | 0.253 | 0.759 | 1.000 |
Nanchang | High-income city | Central | 0.824 | 0.196 | 0.827 | 0.204 | 0.798 | 0.121 | 0.549 | 0.152 |
Taiyuan | Upper-middle income city | Central | 0.337 | 0.371 | 0.334 | 0.052 | 0.332 | 0.257 | 0.350 | 0.284 |
Wuhan | High-income city | Central | 0.833 | 1.000 | 0.811 | 0.271 | 0.771 | 0.160 | 0.688 | 0.110 |
Zhengzhou | High-income city | Central | 0.878 | 0.151 | 0.890 | 0.172 | 0.917 | 0.117 | 0.695 | 0.138 |
Chengdu | Upper-middle income city | West | 0.626 | 0.112 | 0.615 | 0.213 | 0.653 | 0.097 | 0.581 | 0.097 |
Chongqing | Upper-middle income city | West | 0.498 | 0.057 | 0.504 | 0.167 | 0.509 | 0.048 | 0.503 | 0.533 |
Guiyang | Upper-middle income city | West | 0.402 | 0.243 | 0.479 | 0.204 | 0.497 | 0.132 | 0.413 | 0.170 |
Huhehot | High-income city | West | 0.599 | 0.316 | 0.760 | 0.413 | 0.748 | 0.193 | 0.620 | 0.263 |
Kunming | Upper-middle income city | West | 0.465 | 0.316 | 0.459 | 0.313 | 0.517 | 0.146 | 0.434 | 0.153 |
Lanzhou | Upper-middle income city | West | 0.359 | 0.484 | 0.366 | 0.416 | 0.325 | 0.214 | 0.375 | 0.383 |
Lhasa | Upper-middle income city | West | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Nanning | Upper-middle income city | West | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.361 |
Urumqi | Upper-middle income city | West | 0.823 | 1.000 | 0.847 | 1.000 | 0.573 | 0.787 | 0.646 | 1.000 |
Xian | Upper-middle income city | West | 0.636 | 0.149 | 0.653 | 0.174 | 0.625 | 0.095 | 0.486 | 0.141 |
Xining | Upper-middle income city | West | 0.299 | 0.395 | 0.311 | 0.462 | 0.290 | 0.350 | 0.324 | 0.255 |
Yinchuan | Upper-middle income city | West | 0.473 | 0.906 | 0.450 | 0.698 | 0.399 | 0.528 | 0.440 | 0.696 |