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Table 4 Results from logistic regression

From: How does air pollution affect urban settlement of the floating population in China? New evidence from a push-pull migration analysis

Dependent variables Model1 Model2 Model3
Staywilling (1) (2) (3)
PM2.5 −0.038 (− 1.94) −0.081*** (− 4.07) −0.087*** (− 4.25)
Lnpgdp   0.084*** (3.99) 0.189*** (8.63)
Unemployment   −0.018** (− 3.03) − 0.026*** (− 4.43)
Undergraduate   0.011* (2.48) 0.0004 (1.05)
Pop   0.012*** (14.08) 0.008*** (9.04)
Perroad   −0.102*** (−8.63) − 0.085*** (−6.94)
Rubbish   0.140*** (5.16) 0.115*** (4.17)
Direction (Reference: East to East)
 Midwest to East   −0.386*** (−16.36) − 0.135*** (−4.96)
 East to Midwest   −0.508*** (−12.84) −0.364*** (−8.57)
 Midwest to Midwest   −0.352*** (−15.93) − 0.210*** (−9.06)
Education (Reference: Less than primary)
 Junior school 0.293*** (13.39)   0.284*** (12.93)
 Senior school 0.467*** (17.60)   0.456*** (17.06)
 College and above 0.710*** (22.13)   0.696*** (21.46)
Marriage (Ref: Unmarried)
 Married 0.371*** (14.25)   0.393*** (15.03)
Hukou (Ref: Agricultural)
 Non-agricultural −0.092*** (− 4.13)   − 0.099*** (−4.37)
Range (Ref: Inter-provincial)
 Intra-provinicial 0.049** (2.89)   0.085*** (3.99)
 Duration 0.031*** (20.17)   0.029*** (18.83)
Status (Reference: Employee)
 Employer 0.097* (2.12)   0.181*** (3.93)
 Self-employment −0.169*** (−8.50)   − 0.091*** (−4.42)
 Others − 0.051* (−2.13)   − 0.015 (− 0.61)
Income (Reference: 9000 and above)
 Less than 4200 − 0.635*** (−24.63)   − 0.546*** (− 20.82)
 4200–6000 − 0.470*** (−17.71)   −0.405*** (−15.10)
 6000–9000 − 0.274*** (− 11.21)   − 0.239*** (− 9.73)
 Medical insurance 0.062** (2.21)   0.138*** (6.52)
 Social security card 0.122*** (7.23)   0.097*** (5.61)
House (Reference: Free housing)
 Rent 0.119*** (5.44)   0.102*** (4.63)
 Self-buying 0.774*** (25.54)   0.809*** (26.52)
Family (Reference: Single)
 Spouse 0.500*** (6.63)   0.527*** (6.97)
 Child 0.060 (1.35)   0.133*** (2.98)
 Parents 0.244*** (4.08)   0.260*** (4.33)
 Constant 0.913*** (16.69) 1.750*** (41.01) 0.797*** (10.49)
 Pseudo R2 0.05 0.01 0.06
 Log likelihood −50,598.39 −52,747.26 −50,279.64
 N 116,283 116,283 116,283
  1. t statistics in parentheses
  2. * p < 0.05, ** p < 0.01, *** p < 0.001