Table 3 Model comparisons.

From: Subjective social integration and its spatially varying determinants of rural-to-urban migrants among Chinese cities

 

Model 1: OLS

 

Model 2: GWR

 

Model 3: MGWR

β(SE)

 

\(\overline{\upbeta }\)(\(\overline{{\text{SE}} }\))

Bandwidths

 

\(\overline{\upbeta }\)(\(\overline{{\text{SE}} }\))

Bandwidths

Gender

 − 0.141** (0.058)

 

 − 0.143* (0.068)

214

 

 − 0.153** (0.056)

241

Age

0.076 (0.083)

 

0.042 (0.098)

214

 

0.021 (0.087)

236

Edu

0.112 (0.080)

 

0.110 (0.101)

214

 

0.012 (0.179)

46

Hukou

 − 0.156*** (0.059)

 

 − 0.121* (0.066)

214

 

 − 0.106* (0.063)

235

Marriage

 − 0.094 (0.069)

 

 − 0.151 (0.084)

214

 

 − 0.149 (0.093)

145

Income

 − 0.245*** (0.074)

 

 − 0.228*** (0.085)

214

 

 − 0.119 (0.079)

245

Size

 − 0.016(0.073)

 

 − 0.119 (0.094)

214

 

 − 0.107 (0.077)

245

Housing

0.167** (0.065)

 

0.179* (0.082)

214

 

0.170 (0.99)

131

Politics

0.233*** (0.079)

 

0.286** (0.104)

214

 

0.313** (0.102)

173

Permit

0.094 (0.064)

 

0.132 (0.079)

214

 

0.147 (0.075)

205

Welfare

 − 0.050 (0.064)

 

 − 0.027 (0.078)

214

 

0.025 (0.071)

223

Medicine

0.020 (0.058)

 

0.005 (0.073)

214

 

0.007 (0.057)

245

Friends

0.223*** (0.069)

 

0.150 (0.085)

214

 

0.127 (0.124)

83

Activities

0.029(0.080)

 

0.084 (0.098)

214

 

0.093 (0.076)

245

Stress

0.072 (0.070)

 

0.051 (0.102)

214

 

0.059 (0.072)

245

Government

0.014 (0.074)

 

 − 0.052 (0.093)

214

 

 − 0.030 (0.071)

245

Intercept

 − 0.000(0.052)

 

 − 0.006(0.069)

214

 

 − 0.016 (0.126)

72

R2

0.366

 

0.506

 

0.619

Adj. R2

0.322

 

0.417

 

0.514

AICc

624.981

 

615.717

 

598.862

Log-likelihood

 − 292.984

 

 − 262.378

 

 − 230.463

  1. *Significant at the 0.1 level.
  2. **Significant at the 0.05 level.
  3. ***Significant at the 0.01 level.