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The impact of job contact networks on wages of rural–urban migrants in China: a switching regression approach

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  • Wenjin Long
  • Simon Appleton
  • Lina Song

Abstract

In nationally representative household data from the 2008 Chinese Rural to Urban Migration Survey, nearly two thirds of rural–urban migrants found their employment through family members, relatives, friends or acquaintances. This paper investigates why the use of social network to find jobs is so prevalent among rural–urban migrants in China, and whether migrants face a wage penalty as a result of adopting this job search method. Using a switch regression approach, we find evidence of positive selection effects of the use of networks on wages. Users of networks tend to be older, to have migrated longer ago and to be less educated. In addition, married workers and those from villages with more out-migrant are more likely to use networks, while those without local residential registration status are less likely. Controlling for selectivity, we find a large negative impact of network use on wages. Using job contacts brings access to urban employment, but at the cost of markedly lower wages.

Suggested Citation

  • Wenjin Long & Simon Appleton & Lina Song, 2017. "The impact of job contact networks on wages of rural–urban migrants in China: a switching regression approach," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 15(1), pages 81-101, January.
  • Handle: RePEc:taf:jocebs:v:15:y:2017:i:1:p:81-101
    DOI: 10.1080/14765284.2017.1287538
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    1. Zhaopeng Frank Qu & Zhong Zhao, 2014. "Evolution of the Chinese rural-urban migrant labor market from 2002 to 2007," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(2), pages 316-334, April.
    2. Meng, Xin & Kong, Sherry Tao & Zhang, Dandan, 2010. "How Much Do We Know about the Impact of the Economic Downturn on the Employment of Migrants?," ADBI Working Papers 194, Asian Development Bank Institute.
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    Cited by:

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    2. Giulietti, Corrado & Wahba, Jackline & Zenou, Yves, 2018. "Strong versus weak ties in migration," European Economic Review, Elsevier, vol. 104(C), pages 111-137.
    3. Yuanyuan Chen & Zichen Deng, 2019. "Liquidity Constraint Shock, Job Search and Post Match Quality—Evidence from Rural-to-Urban Migrants in China," Journal of Labor Research, Springer, vol. 40(3), pages 332-355, September.
    4. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    5. Galanakis, Yannis, 2020. "Female Human Capital Mismatch: An extension for the British public sector," GLO Discussion Paper Series 669, Global Labor Organization (GLO).
    6. Menghan Zhao & Yongai Jin, 2020. "Migrant Workers in Beijing: How Hometown Ties Affect Economic Outcomes," Work, Employment & Society, British Sociological Association, vol. 34(5), pages 789-808, October.
    7. Zhao, Jianmei, 2018. "Internet access and rural household income in China," 2018 Annual Meeting, August 5-7, Washington, D.C. 274178, Agricultural and Applied Economics Association.
    8. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.

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