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

Long, Wenjin and Appleton, Simon and Song, Lina (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, 15 (1). pp. 81-101. ISSN 1476-5292

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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.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Chinese Economic and Business Studies on 24 February 2017 available online: http://www.tandfonline.com/10.1080/14765284.2017.1287538
Keywords: Social network, Job contact, Wage, Rural-urban migrant, Switching regression
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > Nottingham University Business School
University of Nottingham, UK > Faculty of Social Sciences > School of Economics
Identification Number: 10.1080/14765284.2017.1287538
Depositing User: Eprints, Support
Date Deposited: 04 Apr 2017 10:29
Last Modified: 12 Oct 2017 21:00
URI: http://eprints.nottingham.ac.uk/id/eprint/41742

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