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Table 1 Average value of key variables

From: Where is the grass greener? A micro-founded model of migration with application to Guangdong

     

Late

 

Single

 

City size

  

Real Wu

Real Wr

Urban

marriage

K/P(1000

female

Population

(million

City

NM/P

(yuan)

(yuan)

Hukou/P

rate(%)

yuan)

(million)

(million)

m squ)

Guangzhou1

0.0056

1.49

0.84

0.61

78.51

7.11

1.90

6.4

7.26

Shenzhen2

0.0252

1.62

0.62

0.74

82.21

36.55

0.22

0.94

2.05

Zhuhai3

0.0150

1.56

0.80

0.61

81.96

20.96

0.17

0.61

1.65

Shaoguan5

−0.0010

1.20

0.90

0.34

75.20

2.03

0.93

2.9

18.38

Heyuan6

0.0025

1.28

0.83

0.18

60.72

0.61

0.97

2.9

15.48

Meizhou7

−0.0003

1.29

1.05

0.17

45.20

0.78

1.39

4.6

15.93

Huizhou8

0.0064

1.31

0.81

0.30

75.67

4.47

0.81

2.5

10.66

Shanwei9

0.0036

1.40

0.93

0.23

68.16

0.60

0.78

2.5

5.17

Dongguan10

0.0015

1.34

0.62

0.25

73.78

10.27

0.47

1.4

2.47

Zhongshan11

0.0025

1.44

0.70

0.28

76.07

6.48

0.37

1.2

1.80

Jiangmen12

0.0008

1.31

0.86

0.33

79.48

3.57

1.12

3.7

9.44

Foshan13

0.0048

1.41

0.94

0.41

72.93

8.48

0.95

3.1

3.87

Yangjiang14

−0.0008

1.36

1.05

0.24

68.51

0.68

0.71

2.4

7.81

Zhanjiang15

0.0017

1.14

0.83

0.22

76.11

1.24

1.91

6

12.49

Maoming16

0.0008

1.25

1.12

0.16

64.32

0.95

1.74

5.7

11.45

Qingyuan18

−0.0002

1.24

0.74

0.18

68.91

0.93

1.17

3.6

19.02

Mergedcity22

0.0004

1.37

0.88

0.23

72.36

1.88

3.44

11

10.28

Mergedcity23

0.0007

1.37

0.96

0.24

57.39

1.59

1.82

5.9

22.84