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Table 1 Summary statistics of student individual and family characteristics

From: Examining the relationship between commuting time, academic achievement, and mental health in rural China: a cross-sectional analysis

Characteristics

Mean / N

Std. Dev / %

Min

Max

Student characteristics

Endline Standardeized Math Scores

0.14

(1.00)

-2.7

2.4

Endline Mental Health

35.22

(13.84)

0

89

Baseline Standardeized Math Scores

0.06

(0.97)

-3

2.6

Baseline Mental Health

36.15

(12.83)

0

82

Commuting time, hours

0.27

(0.23)

0

2.2

Age(years)

10.49

(0.97)

9

12

Gender(male=1,N,%)

0.5

(0.50)

0

1

Commutes by walking(yes=1)

0.93

(0.25)

0

1

Commutes by bike(yes=1)

0.02

(0.15)

0

1

Commutes by car(yes=1)

0.02

(0.16)

0

1

Commutes by tricycle, electric bike, motorcycle and other(yes=1)

0.02

(0.14)

0

1

Parental and family characteristics

Household wealth is in the bottom third a(yes=1)

0.31

(0.46)

0

1

Household wealth is in the middle third a(yes=1)

0.35

(0.48)

0

1

Household wealth is in the top third a(yes=1)

0.34

(0.47)

0

1

Family spending on education (RMB yuan)

124.98

(689.46)

0

60,200

Types of Hukou (urban=1)

0.05

(0.21)

0

1

Have any brothers and sisters(yes=1)

0.91

(0.28)

0

1

Left-behind child(yes=1)

0.13

(0.34)

0

1

Parents supervise homework(yes=1)

0.62

(0.48)

0

1

Father has high school education or above(yes=1)

0.14

(0.34)

0

1

Mother has high school education or above(yes=1)

0.08

(0.28)

0

1

Father does farm work(yes=1)

0.87

(0.34)

0

1

Mother does farm work(yes=1)

0.86

(0.35)

0

1

Instrumental variable

Square km per inhabitant in county b

0.006

(0.01)

0.006

0.02

Share of population in county living in urban areas

0.41

(0.24)

0.2

1

Mediator

Sleeping time, hours

9.03

(1.04)

3.2

14

Outdoor activity time after school, hours

0.39

(0.47)

0

2

Study time after school, hours

0.88

(0.58)

0

2

N

12,394

Note:

  1. aWe used the possession of certain rural durable assets as a proxy of household wealth. First, we asked about the household鈥檚 ownership status of 16 assets, including cars, refrigerators, televisions, and cameras. If a household owned a specific asset, it was recorded as 1; otherwise, it was recorded as 0. Second, by using the principal components analysis, we calculated the scoring factors for 16 assets. Finally, there are three types of household wealth
  2. b鈥淪quare km per inhabitant in county鈥 is calculated by dividing the area of the entire county (square km) by the population (persons)