Research Article

Study on the Operation Efficiency of Toll Roads in China from the Perspective of Scale Economy

Table 6

Parameter estimation results.

(I)(II)(III)(IV)
Pooled OLSPanel GMM

Toll14.655.85810.425.858
(4.72)(5.24)(5.81)(5.24)
Toll_int−39.54−24.34−26.51−24.34
(−2.94)(−4.31)(−2.33)(−4.31)
Urban−0.0188−0.00409−0.00882−0.00409
(−4.26)(−2.57)(−2.29)(−2.57)
Unemploy−0.123−0.0432−0.178−0.0432
(−1.93)(−3.80)(−3.08)(−3.80)
Eply0.2200.02760.2100.0276
(4.39)(1.51)(5.61)(1.51)
Toll_Station−1.6230.771−1.6400.771
(−3.96)(7.42)(−2.33)(7.42)
Ltc0.1020.08370.1290.0837
(2.71)(4.90)(2.82)(4.90)
Ave_Salary0.0117−0.1980.647−0.198
(0.05)(−1.54)(3.39)(−1.54)
_cons1.1920.895−0.05330.895
(1.93)(4.20)(−0.08)(4.20)
Hansen11
AR0.1460.137
N174145145145

Note.Statistical significance at the 10% level; statistical significance at the 5% level; statistical significance at the 1% level. The t-statistics calculated with the standard error of heteroscedasticity are reported in brackets.