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Table 5 Multinominal logit regression models on types of cultural omnivorousness

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

 

China

Japan

South Korea

Model 13

Model 14

Model 15

VCO versus Neither

HCO versus Neither

Both versus Neither

VCO versus Neither

HCO versus Neither

Both versus Neither

VCO versus Neither

HCO versus Neither

Both versus Neither

Socioeconomic status indicators

         

Self-rated social class

0.076*

0.033

0.031

− 0.057

0.014

0.006

0.022

0.087

0.014

 

(0.038)

(0.026)

(0.035)

(0.040)

(0.050)

(0.045)

(0.056)

(0.054)

(0.049)

Education (rf. Less than high school)

         

 High school

0.564***

0.193

0.356*

1.543***

0.339

0.788***

0.316

− 0.472+

0.005

 

(0.170)

(0.129)

(0.166)

(0.303)

(0.216)

(0.224)

(0.301)

(0.245)

(0.234)

 College and above

0.321

− 0.326

0.134

2.109***

0.177

0.967***

0.694*

− 0.514+

0.201

 

(0.209)

(0.200)

(0.217)

(0.315)

(0.275)

(0.258)

(0.319)

(0.281)

(0.260)

Household income level (rf. First quartile)

         

 Second quartile

0.433

0.040

− 0.113

− 0.064

0.141

0.029

0.107

0.296

0.144

 

(0.265)

(0.175)

(0.242)

(0.253)

(0.289)

(0.284)

(0.332)

(0.322)

(0.289)

 Third quartile

0.633*

− 0.043

0.048

0.199

− 0.104

0.232

− 0.022

0.323

0.192

 

(0.248)

(0.181)

(0.234)

(0.174)

(0.247)

(0.211)

(0.391)

(0.376)

(0.335)

 Fourth quartile

0.725**

− 0.187

0.183

0.163

− 0.268

− 0.127

0.114

0.258

0.179

 

(0.254)

(0.192)

(0.237)

(0.193)

(0.266)

(0.235)

(0.415)

(0.400)

(0.357)

Global exposure indicators

         

Level of global exposure

0.445***

0.471***

0.196**

0.410***

0.127

− 0.056

0.526***

0.361***

0.123+

 

(0.096)

(0.065)

(0.063)

(0.088)

(0.995)

(0.095)

(0.099)

(0.079)

(0.058)

Control variables

         

Gender (1 = male)

0.180

− 0.143

− 0.169

− 0.596***

0.085

− 0.220

− 0.473**

0.019

− 0.540***

 

(0.139)

(0.105)

(0.135)

(0.130)

(0.171)

(0.152)

(0.176)

(0.181)

(0.162)

Age

− 0.096**

0.086**

0.011

0.034

0.272***

0.182***

− 0.007

0.151***

0.159***

 

(0.036)

(0.027)

(0.033)

(0.026)

(0.046)

(0.034)

(0.036)

(0.036)

(0.032)

Age square/100

0.046

− 0.103***

− 0.033

− 0.045+

− 0.221***

− 0.149***

0.006

− 0.117***

− 0.132***

 

(0.043)

(0.030)

(0.037)

(0.027)

(0.041)

(0.031)

(0.037)

(0.036)

(0.032)

Marital status (1 = married)

− 0.162

0.260

0.042

0.081

0.317

0.086

− 0.019

0.156

− 0.143

 

(0.206)

(0.178)

(0.213)

(0.162)

(0.221)

(0.186)

(0.244)

(0.229)

(0.208)

Religious affiliated (1 = yes)

0.171

0.151

0.332

0.128

− 0.007

0.219

0.226

0.209

0.346*

 

(0.221)

(0.166)

(0.205)

(0.143)

(0.178)

(0.157)

(0.162)

(0.168)

(0.150)

Paid job (1 = yes)

− 0.279

0.035

− 0.059

− 0.086

− 0.265

− 0.499*

0.303

0.016

− 0.003

 

(0.186)

(0.140)

(0.180)

(0.172)

(0.224)

(0.196)

(0.250)

(0.245)

(0.215)

Urban (1 = yes)

0.614**

− 0.024

0.228

0.311*

− 0.089

− 0.098

0.039

− 0.109

− 0.555*

 

(0.193)

(0.122)

(0.171)

(0.135)

(0.169)

(0.151)

(0.292)

(0.241)

(0.218)

Constant

− 0.309

− 3.266***

− 2.245***

− 2.859***

− 9.591***

− 6.986***

− 1.250

− 5.004***

− 3.978***

 

(0.676)

(0.576)

(0.671)

(0.647)

(1.270)

(0.894)

(0.813)

(0.883)

(0.756)

Log-likelihood

− 2968.10

− 2035.50

− 1797.20

      

N

 

2964

  

1819

  

1293

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