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Table 2 Logistic analysis of influencing factors of settlement intention

From: The influence of medical insurance and social security cards on the floating population's settlement intention

 

B

S.E

Wals

df

Sig

Exp (B)

EXP(B) 95% CI

Lower limit

Upper limit

Age

− .016

.018

.776

1

.378

.985

.951

1.019

Gender

.105

.016

43.189

1

.000

1.110

1.076

1.145

Marital status

.088

.019

21.178

1

.000

1.092

1.052

1.134

Education

.250

.010

642.384

1

.000

1.285

1.260

1.310

The household registration system

.249

.013

362.815

1

.000

1.283

1.251

1.316

Average monthly total local expenditure

.174

.010

278.571

1

.000

1.190

1.166

1.215

Labor contracts

− .056

.019

8.408

1

.004

.945

.910

.982

Flowing range

− .304

.011

772.995

1

.000

.738

.723

.754

Flowing time

.167

.010

306.207

1

.000

1.182

1.160

1.204

Basic medical insurance for urban employees (BMIUE)

.209

.021

97.274

1

.000

1.232

1.182

1.284

Apply for a personal social security card

.020

.019

1.090

1

.297

1.020

.983

1.059

Health education in occupational disease prevention Health education

− .151

.022

47.978

1

.000

.859

.823

.897

on prevention and treatment of chronic diseases

.121

.023

29.038

1

.000

1.129

1.080

1.180

Health education on STD and AIDS prevention

.016

.023

.530

1

.467

1.017

.973

1.062

Do you agree that I think locals are willing to accept me as a member?

.706

.033

456.131

1

.000

2.026

1.899

2.161

Constant

− 1.823

.053

1168.340

1

.000

.162

 Â