Variables | Model 1 | Model 2 | Model 3 | Model 4 | ||||
---|---|---|---|---|---|---|---|---|
Before 2008 | After 2008 | Before 2008 | After 2008 | Before 2008 | After 2008 | Before 2008 | After 2008 | |
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 | ā0.00236*** | ā0.00300*** | ā0.000532*** | ā0.00295*** | ā0.000478*** | ā0.00293*** | ā0.00017*** | ā0.00251*** |
Cube of length of time in China | 9.34e06*** | 1.23e05*** | 2.25e06*** | 1.21e05*** | 1.88e06*** | 1.20e05*** | ā7.03e06*** | 1.02e05*** |
Background variables | ||||||||
Age | ā0.00188 | 0.00459 | 0.00157 | 0.0102 | 0.007 | 0.00989 | ā0.0263 | 0.0102 |
Gender (maleā=ā1) | 0.532 | 0.253 | 0.334 | 0.429 | 0.42 | 0.403 | 2.670** | 0.469 |
General human capital | ||||||||
Education level | ā0.0791 | ā0.117 | ā0.182 | ā0.0308 | ā0.193 | ā0.0705 | 0.0127 | ā0.0986 |
Conducted business before coming to China | ā0.428 | ā0.157 | ā0.292 | ā0.247 | ā0.403 | ā0.324 | ā1.035* | ā0.38 |
Economic-specific human capital | ||||||||
Come from big city (= 1) | 0.646 | ā0.402 | 0.513 | ā0.329 | 0.53 | ā0.318 | 0.405 | ā0.283 |
Have house in sending country (= 1) | ā0.422 | ā0.357 | ā0.463 | ā0.26 | ā0.511 | ā0.244 | ā0.792 | ā0.208 |
Have investment in sending country (= 1) | ā0.939*** | ā0.397 | ā0.814** | ā0.328 | ā0.906** | ā0.246 | ā0.685*** | ā0.267 |
GDP per capita of sending country | ā0.000769* | ā0.00022 | ā0.000813* | ā0.00025 | ā0.000797* | ā0.000224 | ā0.000423** | ā0.000337* |
Migration-specific human capital | ||||||||
Chinese language level | Ā | Ā | 0.00197 | ā0.139 | 0.00823 | ā0.144 | 0.464 | ā0.111 |
Number of countries visited before China | Ā | Ā | ā0.169* | ā0.257*** | ā0.167* | ā0.226*** | ā0.277** | ā0.150* |
The number of cities been to before Guangzhou in China | Ā | Ā | 0.213*** | ā0.098** | 0.210** | ā0.0724** | 0.216** | ā0.043** |
Social capital at individual level | ||||||||
Whether family members have oversea working or living experience | Ā | Ā | Ā | Ā | 0.448 | ā0.0765 | 0.0023 | ā0.208 |
Whether family members have working or living experience in China | Ā | Ā | Ā | Ā | 0.039 | ā0.538** | 0.0719* | ā0.370** |
The number of Cantonese you know in China | Ā | Ā | Ā | Ā | ā0.00312 | 0.00167 | ā0.0014 | 0.00241 |
The number of compatriot you know in China | Ā | Ā | Ā | Ā | ā0.000723 | 0.00732*** | 0.00251 | 0.00889*** |
The number of non-compatriot Africans you know in China | Ā | Ā | Ā | Ā | ā0.000319 | 0.00741** | 0.0945 | 0.659*** |
Have acquaintances help with the reception | Ā | Ā | Ā | Ā | 0.317* | 0.0579* | 0.448** | 0.252** |
Social capital at the community level | ||||||||
The proportion of illegal Migrants among your compatriots | Ā | Ā | Ā | Ā | Ā | Ā | 3.48** | 1.062** |
Are there many people from your homeland coming to China | Ā | Ā | Ā | Ā | Ā | Ā | 0.327*** | ā0.600** |
Whether immigration to China has improved the lives of people at your homeland or not | Ā | Ā | Ā | Ā | Ā | Ā | 1.461*** | 0.0311 |
Number of Africans in the community you live | Ā | Ā | Ā | Ā | Ā | Ā | 0.00406 | 0.00893** |
Number of compatriot in the community you live | Ā | Ā | Ā | Ā | Ā | Ā | 0.00351 | 0.440*** |
Constant | ā2.350** | ā4.90*** | ā2.885** | ā4.20*** | ā2.884*** | ā4.85*** | ā3.641*** | ā4.001*** |
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 | ā265.48 | ā726.05 | ā243.99 | ā718.07 | ā242.72 | ā710.8 | ā211.87 | ā623.719 |
Observations (individual Ć 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 |