Skip to main content

Table 6 Ordinal logistic regression coefficients on happiness

From: Community environmental satisfaction: its forms and impact on migrants’ happiness in urban China

 

Model

 

All

Pre-70s

Post-70s

Post-80s

Post-90s

Environmental satisfaction

 Satisfying social environment

−0.242***

− 0.285***

− 0.117***

−0.111***

− 0.486***

 Satisfying physical environment

−0.500***

− 0.393***

−0.427***

− 0.563***

−0.654***

 Satisfying social life

−0.749***

−0.985***

− 0.894***

−0.612***

− 0.264***

Gender (Male)

 Female

−0.557***

−0.026***

− 0.139***

−0.021***

− 0.094***

Partnership (Single)

 Partnered

−0.680***

−0.634***

− 0.731***

−0.703***

− 0.756***

 Other

−0.182***

− 0.031***

−0.237***

− 0.169***

−0.229***

Hukou (Non-rural)

 Rural

−0.199***

−0.220***

− 0.173***

−0.265***

− 0.192***

Education (elementary or below)

 Junior high

−0.162***

−0.173***

− 0.320***

−0.300***

− 0.627***

 Senior high

−0.011***

− 0.147***

−0.551***

− 0.016***

−0.201***

 College

−0.047***

−0.338***

− 0.642***

−0.464***

− 0.274***

 Degree or above

−0.010***

− 0.154***

−0.962***

− 0.196***

−0.614***

Occupation (Manual)

 Non-manual

−0.066***

−0.212***

− 0.171***

−0.169***

− 0.702***

 Own account

−0.188***

− 0.213***

−0.240***

− 0.170***

−0.039***

 Home-based

−0.336***

−0.369***

− 0.378***

−0.180***

− 0.593***

 Unemployed

−0.123***

− 0.270***

−0.657***

− 0.541***

−0.559***

 Other

−0.138***

−0.004***

− 0.197***

−0.011***

− 0.193***

Logged income

−0.102***

− 0.071***

−0.117***

− 0.096***

−0.164***

Health

−0.509***

−0.492***

− 0.749***

−0.354***

− 0.550***

Region (Four municipalities)

 Western

−0.133***

−0.097***

− 0.401***

−0.319***

− 0.160***

 Central

−0.016***

− 0.047***

−0.436***

− 0.029***

−0.307***

 Eastern

−0.345***

−0.297***

− 0.481***

−0.302***

− 0.460***

 Northeastern

−0.290***

− 0.010***

−0.619***

− 0.579***

−0.112***

N

12,607

5853

2156

2311

1287

Log-likelihood

− 1626.390

− 1088.091

− 991.321

− 1071.362

−891.715

Pseudo R2

0.056

0.048

0.096

0.071

0.051

  1. Note: *p < 0.05 **p < 0.01 ***p < 0.001