Impact of the Built Environment on Residents’ Health: Evidence from the China Labor Dynamics Survey in 2016
Table 4
Robustness test.
Variables
Robustness test 1
Robustness test 2
Robustness test 3
Replacement of explanatory variables
Adult subsample
Ordered logit model
Urban population density
1.1903 (0.4291)
1.1897 (0.4231)
1.9980 (0.7500)
Urban scale
7.807 × 10−5 (0.0001)
7.604 × 10−5 (0.0001)
0.0001 (0.0002)
Road area ratio
0.0344 (0.0069)
0.0344 (0.0068)
0.0596 (0.0121)
Bus accessibility
0.0018 (0.0019)
0.0019 (0.0019)
0.0035 (0.0018)
Green space ratio
0.0012 (0.0007)
0.0015 (0.0007)
0.0019 (0.0012)
Land use mixture
0.4515 (0.7833)
0.4003 (0.7921)
0.7400 (1.3702)
Rail traffic
−0.0749 (0.0985)
−0.0759 (0.0982)
−0.1307 (0.1704)
Community population density
0–0.1
−0.2972 (0.0999)
−0.2958 (0.0984)
−0.4880 (0.1720)
0.1–0.5
−0.1787 (0.1035)
−0.1882 (0.1025)
−0.2920 (0.1829)
0.5–1
−0.2265 (0.1016)
−0.2412 (0.1033)
−0.3911 (0.1826)
1–1.5
−0.1142 (0.1461)
−0.1378 (0.1466)
−0.1941 (0.2612)
1.5–2
−0.2222 (0.1024)
−0.2060 (0.1005)
−0.4035 (0.1749)
2–2.5
−0.2666 (0.0993)
−0.2779 (0.0971)
−0.4510 (0.1816)
>2.5
Diversity
−0.0177 (0.0204)
−0.0171 (0.0207)
−0.0237 (0.0351)
Green coverage ratio
0.2071 (0.1315)
0.2229 (0.1302)
0.3150 (0.2306)
Environmental pollution
−0.0047 (0.0331)
−0.0031 (0.0332)
−0.0092 (0.0591)
Control variable
Controlled
Controlled
Controlled
N
4641
4519
4641
Pseudolikelihood
−5455.6575
−5464.052
−5588.9023
Note. ,, and show the test conducted at the significance level of 1%, 5%, and 10%, respectively, and in brackets is the clustering robust standard error.
