Skip to main content

Table 3 Logit regression models on vertical cultural omnivorousness

From: Global exposure: an alternative pathway to understanding cultural omnivorousness in East Asian societies

 

China

Japan

South Korea

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

Socioeconomic status indicators

      

Self-rated social class

0.053*

0.043

− 0.010

− 0.029

− 0.005

− 0.021

 

(0.027)

(0.027)

(0.031)

(0.032)

(0.036)

(0.037)

Education (rf. Less than high school)

      

 High school

0.498***

0.400**

0.936***

0.928***

0.279

0.268

 

(0.122)

(0.124)

(0.175)

(0.182)

(0.173)

(0.177)

 College and above

0.676***

0.287+

1.677***

1.393***

0.670***

0.560**

 

(0.143)

(0.159)

(0.188)

(0.200)

(0.189)

(0.196)

Household income level (rf. First quartile)

      

 Second quartile

0.055

0.119

− 0.099

− 0.060

− 0.027

− 0.022

 

(0.185)

(0.188)

(0.196)

(0.202)

(0.217)

(0.220)

 Third quartile

0.253

0.323+

0.208

0.203

− 0.075

− 0.062

 

(0.178)

(0.180)

(0.142)

(0.147)

(0.252)

(0.257)

 Fourth quartile

0.425*

0.464*

0.089

0.102

0.097

0.034

 

(0.182)

(0.184)

(0.157)

(0.163)

(0.270)

(0.273)

Global exposure index

      

Level of global exposure

 

0.381***

 

0.413***

 

0.176***

  

(0.074)

 

(0.055)

 

(0.049)

Control variables

      

Gender (1 = male)

0.066

0.034

− 0.466***

− 0.468***

− 0.458***

− 0.560***

 

(0.101)

(0.103)

(0.104)

(0.107)

(0.119)

(0.122)

Age

− 0.084***

− 0.071**

0.034

0.034

0.034

0.035

 

(0.024)

(0.025)

(0.021)

(0.021)

(0.023)

(0.024)

Age square/100

0.053+

0.041

− 0.039+

− 0.037+

− 0.030

− 0.029

 

(0.027)

(0.028)

(0.020)

(0.021)

(0.024)

(0.024)

Marital status (1 = married)

− 0.191

− 0.141

0.062

0.028

− 0.229

− 0.129

 

(0.153)

(0.157)

(0.129)

(0.134)

(0.155)

(0.158)

Religious affiliated (1 = yes)

0.220

0.227

0.237*

0.166

0.201+

0.190+

 

(0.159)

(0.161)

(0.112)

(0.116)

(0.112)

(0.113)

Paid job (1 = yes)

− 0.116

− 0.152

− 0.235+

− 0.209

0.149

0.145

 

(0.136)

(0.137)

(0.138)

(0.142)

(0.164)

(0.166)

Urban (1 = yes)

0.425**

0.405**

0.260*

0.151

− 0.282+

− 0.315+

 

(0.131)

(0.132)

(0.105)

(0.109)

(0.164)

(0.167)

Constant

0.272

− 0.115

− 1.929***

− 2.040***

− 0.807

− 0.880

 

(0.471)

(0.485)

(0.505)

(0.520)

(0.545)

(0.553)

Log-likelihood

− 1355.6

− 1331.1

− 1193.1

− 1135.6

− 994.9

− 971.6

N

2964

2964

1819

1819

1293

1293

  1. Standard errors in parentheses
  2. +p < 0.10; *p < 0.05; **p < 0.01; ***p < 0.001