A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Social networks and mental health outcomes: Chinese rural–urban migrant experience
https://orcid.org/0000-0002-7542-0136
Abstract Over the past two decades, more than 160 million Chinese rural workers have migrated to cities to work. They are separated from their familiar rural networks to work in an unfamiliar, and often hostile, environment. Many of them thus face significant mental health challenges. This paper is the first to investigate the extent to which migrant social networks in host cities can mitigate these adverse mental health effects. Using unique longitudinal survey data from Rural-to-Urban Migration in China (RUMiC), we find that network size matters significantly for migrant workers. Our preferred instrumental variable estimates suggest that a one standard deviation increase in migrant city networks, on average, reduces the measure of mental health problems by 0.47 to 0.66 of a standard deviation. Similar effects are found among the less educated, those working longer hours, and those without access to social insurance. The main channel of the network effect is through boosting migrants’ confidence and reducing their anxiety.
Social networks and mental health outcomes: Chinese rural–urban migrant experience
https://orcid.org/0000-0002-7542-0136
Abstract Over the past two decades, more than 160 million Chinese rural workers have migrated to cities to work. They are separated from their familiar rural networks to work in an unfamiliar, and often hostile, environment. Many of them thus face significant mental health challenges. This paper is the first to investigate the extent to which migrant social networks in host cities can mitigate these adverse mental health effects. Using unique longitudinal survey data from Rural-to-Urban Migration in China (RUMiC), we find that network size matters significantly for migrant workers. Our preferred instrumental variable estimates suggest that a one standard deviation increase in migrant city networks, on average, reduces the measure of mental health problems by 0.47 to 0.66 of a standard deviation. Similar effects are found among the less educated, those working longer hours, and those without access to social insurance. The main channel of the network effect is through boosting migrants’ confidence and reducing their anxiety.
Social networks and mental health outcomes: Chinese rural–urban migrant experience
https://orcid.org/0000-0002-7542-0136
Abstract Over the past two decades, more than 160 million Chinese rural workers have migrated to cities to work. They are separated from their familiar rural networks to work in an unfamiliar, and often hostile, environment. Many of them thus face significant mental health challenges. This paper is the first to investigate the extent to which migrant social networks in host cities can mitigate these adverse mental health effects. Using unique longitudinal survey data from Rural-to-Urban Migration in China (RUMiC), we find that network size matters significantly for migrant workers. Our preferred instrumental variable estimates suggest that a one standard deviation increase in migrant city networks, on average, reduces the measure of mental health problems by 0.47 to 0.66 of a standard deviation. Similar effects are found among the less educated, those working longer hours, and those without access to social insurance. The main channel of the network effect is through boosting migrants’ confidence and reducing their anxiety.
Social networks and mental health outcomes: Chinese rural–urban migrant experience
2019
Article (Journal)
Electronic Resource
English
RVK:
ELIB39
/
ELIB45
Local classification FBW:
oek 2608
BKL:
74.80
Demographie
/
83.31$jWirtschaftswachstum
/
74.80$jDemographie$XGeographie
/
83.31
Wirtschaftswachstum
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