Table 5.
Efficiency of MRI utilization in sample cities (2017)
| City | Cresta | Vrestb | Scale | Return to scale |
|---|---|---|---|---|
| An Yang | 0.599 | 0.869 | 0.689 | irs |
| Jiao Zuo | 0.576 | 0.674 | 0.855 | irs |
| Kai Feng | 0.912 | 1 | 0.912 | irs |
| Nan Yang | 0.727 | 1 | 0.727 | irs |
| San MenXia | 0.428 | 0.714 | 0.600 | irs |
| Shang Qiu | 0.990 | 1 | 0.990 | irs |
| Xing Xiang | 0.864 | 0.907 | 0.953 | drs |
| Xin Yang | 0.753 | 1 | 0.753 | irs |
| Xu Chang | 0.447 | 1 | 0.447 | irs |
| Zheng Zhou | 0.759 | 1 | 0.759 | drs |
| Zhou Kou | 1 | 1 | 1 | – |
| Mean | 0.732 | 0.924 | 0.790 |
Scale = scale efficiency = Crest/Vrest
aCrest technical efficiency from CRS DEA
bVrest technical efficiency from VRS DEA