Social networks and internal migration in China: A spatial autoregressive model

Individual decisions such as migration can be influenced by different types of social networks. This paper examines strong and weak network effects on internal migration in China by distinguishing between first‐time migrants and experienced migrants. Strong networks are constructed by household members, while weak networks are determined by the village in which the individual resides. By employing spatial econometrics tools, we show that strong networks have a significant positive effect on the first‐time migration decision, while weak network effects vary across home provinces and are significant and positive only for some provinces. We also classify the sample to explore the network effects within the household and find that the effects are larger among siblings, especially among siblings of the same gender. In contrast, strong networks have a smaller impact, and weak networks appear to encourage migration after people have migration experience. Similar findings also apply to the choice of destination, months worked away from home, and migration earnings.