Social networks and mental health outcomes: Chinese rural–urban migrant experience

Xin Meng, Sen Xue*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    32 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)155-195
    Number of pages41
    JournalJournal of Population Economics
    Volume33
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2020

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