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Table 3 Mean differences of the variables between online food shoppers and non-shoppers

From: Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable

Variables

Online food shoppers

Non-shoppers

Mean differences

Dietary diversity

7.33 (1.89)

6.40 (2.18)

0.93***

Age

41.16 (11.16)

55.04 (11.66)

− 13.88***

Gender

0.33 (0.47)

0.42 (0.49)

− 0.09**

Education

11.32 (4.18)

7.01 (3.71)

4.32***

Household size

4.29 (1.40)

4.11 (1.82)

0.18

Land size

7.42 (68.76)

4.06 (13.64)

3.36

Oven ownership

0.54 (0.50)

0.25 (0.43)

0.29***

Heath knowledge

0.30 (0.46)

0.10 (0.30)

0.20***

Motor ownership

0.27 (0.44)

0.23 (0.42)

0.04

Distance to credit

2.16 (2.28)

3.16 (6.82)

− 1.01*

Distance to market

2.10 (2.32)

2.67 (3.00)

− 0.57**

Shandong

0.21 (0.41)

0.26 (0.44)

− 0.05

Guangxi

0.31 (0.46)

0.23 (0.42)

0.08**

Henan

0.31 (0.46)

0.23 (0.42)

0.08**

Sichuan

0.17 (0.38)

0.28 (0.45)

− 0.11***

IV

0.98 (0.13)

0.51 (0.50)

0.48***

Observations

171

776

 
  1. *p < 0.10, **p < 0.05, and ***p < 0.01. Standard deviation is presented in parentheses