Table 5.
The 33 typical cities in China before and after adjustment of municipal solid waste management (MSWM) efficiency.
| City | Stage 1 | Stage 3 | ||||||
|---|---|---|---|---|---|---|---|---|
| TE | PTE | SE | RTE | TE | PTE | SE | RTE | |
| Beijing *,1 | 0.339 | 1 | 0.339 | drs | 0.335 | 1 | 0.335 | drs 2 |
| (BJ) 3 | ||||||||
| Shanghai * (SH) | 0.384 | 1 | 0.384 | drs | 0.389 | 1 | 0.389 | drs |
| Guangzhou * | 0.476 | 0.961 | 0.496 | drs | 0.483 | 0.519 | 0.932 | drs |
| (GZ) | ||||||||
| Shenzhen * (SZ) | 1 | 1 | 1 | - | 0.917 | 1 | 0.917 | drs |
| Nanjing * | 0.506 | 1 | 0.506 | drs | 0.489 | 0.515 | 0.95 | drs |
| (NJ) | ||||||||
| Hangzhou * | 1 | 1 | 1 | - | 1 | 1 | 1 | - 4 |
| (HZ) | ||||||||
| Xiamen * | 0.766 | 0.977 | 0.784 | drs | 0.749 | 0.752 | 0.996 | irs 5 |
| (XM) | ||||||||
| Guilin * | 1 | 1 | 1 | - | 1 | 1 | 1 | - |
| (GL) | ||||||||
| Tianjin | 0.267 | 0.942 | 0.283 | drs | 0.26 | 0.262 | 0.991 | irs |
| (TJ) | ||||||||
| Shijiazhuang | 0.822 | 1 | 0.822 | drs | 0.515 | 0.633 | 0.815 | drs |
| (SJZ) | ||||||||
| Taiyuan | 0.346 | 1 | 0.346 | drs | 0.334 | 0.403 | 0.829 | drs |
| (TY) | ||||||||
| Hohhot | 1 | 1 | 1 | - | 1 | 1 | 1 | - |
| Shenyang | 0.607 | 0.999 | 0.607 | drs | 0.587 | 0.601 | 0.977 | drs |
| (SY) | ||||||||
| Changchun | 0.54 | 0.903 | 0.598 | drs | 0.485 | 0.537 | 0.903 | irs |
| (CC) | ||||||||
| Harbin | 0.26 | 0.873 | 0.298 | drs | 0.303 | 0.346 | 0.876 | irs |
| Hefei | 0.374 | 1 | 0.374 | drs | 0.353 | 0.391 | 0.902 | drs |
| (HF) | ||||||||
| Fuzhou | 1 | 1 | 1 | - | 1 | 1 | 1 | - |
| (FZ) | ||||||||
| Nanchang | 0.487 | 1 | 0.487 | drs | 0.47 | 0.665 | 0.706 | drs |
| (NC) | ||||||||
| Jinan | 0.49 | 1 | 0.49 | drs | 0.447 | 0.485 | 0.921 | drs |
| (JN) | ||||||||
| Zhengzhou | 0.361 | 1 | 0.361 | drs | 0.333 | 0.348 | 0.955 | drs |
| (ZZ) | ||||||||
| Wuhan | 0.176 | 1 | 0.176 | drs | 0.175 | 0.177 | 0.991 | drs |
| (WH) | ||||||||
| Changsha | 0.618 | 1 | 0.618 | drs | 0.596 | 0.627 | 0.951 | drs |
| (CS) | ||||||||
| Nanning | 0.125 | 0.99 | 0.126 | drs | 0.128 | 0.129 | 0.995 | drs |
| (NN) | ||||||||
| Haikou | 0.42 | 1 | 0.42 | drs | 0.67 | 0.67 | 1 | - |
| (HK) | ||||||||
| Chongqing | 0.682 | 1 | 0.682 | drs | 0.673 | 0.72 | 0.935 | drs |
| (CQ) | ||||||||
| Chengdu | 0.566 | 1 | 0.566 | drs | 0.522 | 0.525 | 0.995 | drs |
| (CD) | ||||||||
| Guiyang | 0.367 | 0.96 | 0.383 | drs | 0.391 | 0.404 | 0.968 | irs |
| (GY) | ||||||||
| Kunming | 0.662 | 0.97 | 0.683 | drs | 0.663 | 0.667 | 0.995 | irs |
| (KM) | ||||||||
| Xi’an | 0.784 | 0.997 | 0.786 | drs | 0.676 | 0.678 | 0.997 | drs |
| (XN) | ||||||||
| Lanzhou | 0.319 | 0.338 | 0.945 | drs | 0.288 | 0.388 | 0.742 | irs |
| (LZ) | ||||||||
| Xining | 1 | 1 | 1 | - | 1 | 1 | 1 | - |
| (XN) | ||||||||
| Yinchuan | 1 | 1 | 1 | - | 0.49 | 0.501 | 0.979 | irs |
| (YC) | ||||||||
| Urumchi | 0.219 | 0.957 | 0.229 | drs | 0.217 | 0.219 | 0.99 | irs |
| Mean | 0.575 | 0.966 | 0.600 | 0.544 | 0.611 | 0.907 | ||
Note: 1 Cities with “*” are pilot cities for MSW classification; 2 “drs” represents diminishing returns to scale; 3 The contents in brackets are the abbreviations for corresponding city names; 4 “-” represents constant returns to scale; 5 “irs” represents increasing returns to scale.