Research Article

[Retracted] Land Price Distortion, Financial Development, and Regional Innovation

Table 2

Baseline regression results.

Dependent variable: lnppatentsBaseline (1)Baseline (2)Baseline (3)

Distort0.00440.0034
(0.002)(0.002)
L.distort0.00480.0042
(0.002)(0.002)
fin_press0.15220.06850.0778
(0.106)(0.103)(0.103)
Dependon128.5377358.0801117.4494
(316.270)(276.815)(315.232)
local_hr_pop0.06010.55330.5324
(1.028)(1.050)(1.047)
sav_person0.08560.05370.0529
(0.018)(0.017)(0.017)
Dust−0.0000−0.0000−0.0000
(0.000)(0.000)(0.000)
Govscale−1.0907−0.8713−0.8570
(0.244)(0.248)(0.243)
di_per_capita0.00000.00000.0000
(0.000)(0.000)(0.000)
lnsci0.14020.12490.1228
(0.019)(0.018)(0.018)
Constant−0.8143−0.6187−0.6083
(0.217)(0.216)(0.213)
Observations3,0202,7362,736
R-squared0.7800.7610.762
Number of cities287287287

Notes. Robust standard errors in parentheses; , , and represent the significance level of 10%, 5%, and 1%, respectively.