Study on the Operation Efficiency of Toll Roads in China from the Perspective of Scale Economy
Table 2
Annual average operating efficiency and index breakdown by province between 2013 and 2017 (with 2010 as the base period).
Eastern provinces
M
TC
EC
PTEC
SEC
Mileage
Average
1.0086
0.9855
1.0236
1.0032
1.0218
1.0131
Beijing
0.9596
1.0111
0.9490
0.9493
0.9997
1.0201
Tianjin
0.9810
0.9713
1.0099
1.0400
0.9711
1.0302
Hebei
0.9754
0.9721
1.0034
0.9349
1.0733
1.0316
Shanghai
1.0527
0.9888
1.0646
1.1095
0.9595
1.0037
Jiangsu
1.0055
0.9885
1.0173
0.9788
1.0393
1.0046
Zhejiang
1.0240
0.9947
1.0295
1.0000
1.0295
0.9965
Shandong
1.0242
0.9713
1.0545
0.9778
1.0784
0.9792
Fujian
1.0083
0.9714
1.0380
1.0387
0.9993
1.1011
Guangdong
1.0463
1.0005
1.0458
1.0000
1.0458
0.9512
Central provinces
M
TC
EC
PTEC
SEC
Mileage
Average
1.0524
1.0086
1.0431
1.0332
1.0098
1.0614
Shanxi
1.0197
0.9742
1.0466
1.0297
1.0164
1.0577
Anhui
0.9974
0.9974
1.0000
1.0000
1.0000
1.0594
Jiangxi
1.0004
0.9845
1.0161
1.0144
1.0017
1.0373
Henan
1.1146
1.0638
1.0478
1.0077
1.0398
1.0253
Hubei
1.1158
1.0325
1.0807
1.0798
1.0008
1.0675
Hunan
1.0667
0.9994
1.0674
1.0674
1.0000
1.1214
Western provinces
M
TC
EC
PTEC
SEC
Mileage
Average
0.9781
0.9862
0.9913
1.0015
0.9901
1.0024
Inner Mongolia
0.9502
0.9712
0.9784
0.9477
1.0323
1.0005
Guangxi
1.1761
1.0203
1.1526
1.1558
0.9973
0.9352
Chongqing
1.0100
1.0256
0.9848
0.9929
0.9919
1.0633
Sichuan
1.0245
0.9713
1.0548
1.0371
1.0170
0.9182
Guizhou
0.9998
0.9826
1.0175
1.0000
1.0175
1.1701
Yunnan
0.9506
0.9667
0.9833
0.9847
0.9986
0.9621
Shaanxi
0.9824
0.9816
1.0009
0.9696
1.0322
0.9767
Gansu
0.8467
0.9830
0.8613
0.8635
0.9975
0.9595
Qinghai
0.9329
1.0034
0.9297
0.9730
0.9556
1.0180
Ningxia
0.8394
0.9713
0.8642
1.0000
0.8642
0.9540
Xinjiang
1.0464
0.9714
1.0772
1.0919
0.9865
1.0684
Northeastern provinces
M
TC
EC
PTEC
SEC
Mileage
Average
0.9448
1.0006
0.9474
0.9646
0.9838
1.0734
Liaoning
0.9141
0.9715
0.9409
0.9461
0.9945
1.0451
Jilin
1.0310
0.9712
1.0615
1.1040
0.9616
1.0596
Heilongjiang
0.8894
1.0590
0.8398
0.8438
0.9953
1.1157
Note. The average operational efficiency in each province for the period 2013–2017 is the geometric mean of the efficiency values for each year. The reason for choosing the geometric mean is to avoid the effects of extreme values for a certain year; at the same time, the geometric mean reflects the annual compound change in efficiency.
