|
Time variables
|
|
Length of time spent in China
|
0.136***
|
0.148***
|
0.1336***
|
0.146***
|
0.1309***
|
0.142***
|
0.147***
|
0.125***
|
|
Square of length of time in China
|
−0.00236***
|
−0.00300***
|
−0.000532***
|
−0.00295***
|
−0.000478***
|
−0.00293***
|
−0.00017***
|
−0.00251***
|
|
Cube of length of time in China
|
9.34e06***
|
1.23e05***
|
2.25e06***
|
1.21e05***
|
1.88e06***
|
1.20e05***
|
−7.03e06***
|
1.02e05***
|
|
Background variables
|
|
Age
|
−0.00188
|
0.00459
|
0.00157
|
0.0102
|
0.007
|
0.00989
|
−0.0263
|
0.0102
|
|
Gender (male = 1)
|
0.532
|
0.253
|
0.334
|
0.429
|
0.42
|
0.403
|
2.670**
|
0.469
|
|
General human capital
|
|
Education level
|
−0.0791
|
−0.117
|
−0.182
|
−0.0308
|
−0.193
|
−0.0705
|
0.0127
|
−0.0986
|
|
Conducted business before coming to China
|
−0.428
|
−0.157
|
−0.292
|
−0.247
|
−0.403
|
−0.324
|
−1.035*
|
−0.38
|
|
Economic-specific human capital
|
|
Come from big city (= 1)
|
0.646
|
−0.402
|
0.513
|
−0.329
|
0.53
|
−0.318
|
0.405
|
−0.283
|
|
Have house in sending country (= 1)
|
−0.422
|
−0.357
|
−0.463
|
−0.26
|
−0.511
|
−0.244
|
−0.792
|
−0.208
|
|
Have investment in sending country (= 1)
|
−0.939***
|
−0.397
|
−0.814**
|
−0.328
|
−0.906**
|
−0.246
|
−0.685***
|
−0.267
|
|
GDP per capita of sending country
|
−0.000769*
|
−0.00022
|
−0.000813*
|
−0.00025
|
−0.000797*
|
−0.000224
|
−0.000423**
|
−0.000337*
|
|
Migration-specific human capital
|
|
Chinese language level
| | |
0.00197
|
−0.139
|
0.00823
|
−0.144
|
0.464
|
−0.111
|
|
Number of countries visited before China
| | |
−0.169*
|
−0.257***
|
−0.167*
|
−0.226***
|
−0.277**
|
−0.150*
|
|
The number of cities been to before Guangzhou in China
| | |
0.213***
|
−0.098**
|
0.210**
|
−0.0724**
|
0.216**
|
−0.043**
|
|
Social capital at individual level
|
|
Whether family members have oversea working or living experience
| | | | |
0.448
|
−0.0765
|
0.0023
|
−0.208
|
|
Whether family members have working or living experience in China
| | | | |
0.039
|
−0.538**
|
0.0719*
|
−0.370**
|
|
The number of Cantonese you know in China
| | | | |
−0.00312
|
0.00167
|
−0.0014
|
0.00241
|
|
The number of compatriot you know in China
| | | | |
−0.000723
|
0.00732***
|
0.00251
|
0.00889***
|
|
The number of non-compatriot Africans you know in China
| | | | |
−0.000319
|
0.00741**
|
0.0945
|
0.659***
|
|
Have acquaintances help with the reception
| | | | |
0.317*
|
0.0579*
|
0.448**
|
0.252**
|
|
Social capital at the community level
|
|
The proportion of illegal Migrants among your compatriots
| | | | | | |
3.48**
|
1.062**
|
|
Are there many people from your homeland coming to China
| | | | | | |
0.327***
|
−0.600**
|
|
Whether immigration to China has improved the lives of people at your homeland or not
| | | | | | |
1.461***
|
0.0311
|
|
Number of Africans in the community you live
| | | | | | |
0.00406
|
0.00893**
|
|
Number of compatriot in the community you live
| | | | | | |
0.00351
|
0.440***
|
|
Constant
|
−2.350**
|
−4.90***
|
−2.885**
|
−4.20***
|
−2.884***
|
−4.85***
|
−3.641***
|
−4.001***
|
|
Random effects
|
|
Recruit group level
|
1.027***
|
1.371***
|
0.9623***
|
1.257***
|
0.9877***
|
1.318***
|
0.651***
|
1.248***
|
|
Individual residual
|
1.541***
|
1.446***
|
1.2445***
|
1.368***
|
1.050***
|
1.196***
|
0.949***
|
1.022***
|
|
Log likelihood
|
−265.48
|
−726.05
|
−243.99
|
−718.07
|
−242.72
|
−710.8
|
−211.87
|
−623.719
|
|
Observations (individual × month)
|
6,867
|
7,924
|
6,867
|
7,924
|
6,867
|
7,924
|
6,867
|
7,924
|
|
Number of groups
|
51
|
108
|
51
|
108
|
51
|
108
|
51
|
108
|
|
Number of observing sample
|
116
|
511
|
116
|
511
|
116
|
511
|
116
|
511
|
