Table 4 Ordered probit model results of milk purchasing platform.

From: Spillover effects of food recalls: A milk recall scenario experiment in China

 

Channel

 

Model (1)

Model (2)

Online

−0.296**

−0.614***

 

(0.122)

(0.217)

Voluntary

0.497***

0.235

 

(0.151)

(0.208)

Mandatory

0.251*

0.082

 

(0.151)

(0.206)

Online*Voluntary

 

0.557*

  

(0.302)

Online*Mandatory

 

0.374

  

(0.304)

FoodonlinefreqH

0.155

0.166

 

(0.136)

(0.137)

MilkfreqH

0.206

0.213

 

(0.145)

(0.145)

WorryH

−0.774**

−0.769**

 

(0.312)

(0.313)

Price

0.091

0.092

 

(0.070)

(0.071)

Brand

0.000

0.002

 

(0.070)

(0.070)

Age

−0.001

−0.001

 

(0.006)

(0.006)

Male

−0.172

−0.181

 

(0.125)

(0.125)

Edu

0.010

0.006

 

(0.043)

(0.043)

Income

0.005

0.005

 

(0.005)

(0.005)

Have_old

0.179

0.148

 

(0.143)

(0.145)

/cut1

−0.047

−0.228

 

(0.811)

(0.818)

/cut2

0.294

0.117

 

(0.811)

(0.818)

/cut3

0.734

0.557

 

(0.812)

(0.819)

Observations

360

360

Pseudo R2

0.037

0.041

LR chi2

33.78***

37.32***

  1. Note: standard errors are reported in (). ***, **, and * denote the coefficient estimates are statistically significant at 1%, 5%, and 10% levels, respectively.