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How guanxi affects job search outcomes in China? Job match and job turnover

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  • Weng, Yulei
  • Xu, Hao

Abstract

Using a social network is an effective way to carry out a job search. This study examines whether Chinese social network, guanxi, leads to better job-worker match and less job turnover. Using a two-dimensional measurement of guanxi, the results of logistic regressions indicate that guanxi is actively used by job seekers who do not match to the employers’ requirements. This finding implies that guanxi may be unfairly used during job searches. Meanwhile, survival analysis shows that guanxi does not lead to less job turnover. The implication of this study is that guanxi should be used for informational purposes, which would enable job seekers and potential employers to avoid information asymmetry in the job search process.

Suggested Citation

  • Weng, Yulei & Xu, Hao, 2018. "How guanxi affects job search outcomes in China? Job match and job turnover," China Economic Review, Elsevier, vol. 51(C), pages 70-82.
  • Handle: RePEc:eee:chieco:v:51:y:2018:i:c:p:70-82
    DOI: 10.1016/j.chieco.2018.05.006
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    1. Christian Dustmann & Albrecht Glitz & Uta Schönberg & Herbert Brücker, 2016. "Referral-based Job Search Networks," Review of Economic Studies, Oxford University Press, vol. 83(2), pages 514-546.
    2. Holzer, Harry J, 1988. "Search Method Use by Unemployed Youth," Journal of Labor Economics, University of Chicago Press, vol. 6(1), pages 1-20, January.
    3. John T. Addison & Pedro Portugal, 2002. "Job search methods and outcomes," Oxford Economic Papers, Oxford University Press, vol. 54(3), pages 505-533, July.
    4. Meta Brown & Elizabeth Setren & Giorgio Topa, 2016. "Do Informal Referrals Lead to Better Matches? Evidence from a Firm's Employee Referral System," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 161-209.
    5. Zhang, Xiaobo & Li, Guo, 2003. "Does guanxi matter to nonfarm employment?," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 315-331, June.
    6. Datcher, Linda, 1983. "The Impact of Informal Networks of Quit Behavior," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 491-495, August.
    7. Xiong, Ailun & Li, Hongyi & Westlund, Hans & Pu, Yongjian, 2017. "Social networks, job satisfaction and job searching behavior in the Chinese labor market," China Economic Review, Elsevier, vol. 43(C), pages 1-15.
    8. Meng,Xin, 2009. "Labour Market Reform in China," Cambridge Books, Cambridge University Press, number 9780521121118.
    9. Chao C. Chen & Xiao-Ping Chen & Shengsheng Huang, 2013. "Chinese Guanxi: An Integrative Review and New Directions for Future Research. 中国人的关系: 综合文献回顾及未来研究方向," Management and Organization Review, The International Association for Chinese Management Research, vol. 9(1), pages 167-207, March.
    10. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
    11. Chen, Chao C. & Chen, Xiao-Ping & Huang, Shengsheng, 2013. "Chinese Guanxi: An Integrative Review and New Directions for Future Research," Management and Organization Review, Cambridge University Press, vol. 9(1), pages 167-207, March.
    12. Montgomery, James D, 1991. "Social Networks and Labor-Market Outcomes: Toward an Economic Analysis," American Economic Review, American Economic Association, vol. 81(5), pages 1407-1418, December.
    13. Xianbi Huang, 2008. "Guanxi networks and job searches in China's emerging labour market: a qualitative investigation," Work, Employment & Society, British Sociological Association, vol. 22(3), pages 467-484, September.
    14. Thomas E. Wei & Victoria Levin & Lindsay M. Sabik, 2012. "A referral is worth a thousand ads: Job search methods and scientist outcomes in the market for postdoctoral scholars," Science and Public Policy, Oxford University Press, vol. 39(1), pages 60-73, February.
    15. Ondrich, Jan & Rhody, Stephen E., 1999. "Multiple spells in the Prentice-Gloeckler-Meyer likelihood with unobserved heterogeneity," Economics Letters, Elsevier, vol. 63(2), pages 139-144, May.
    16. MacDonald, Glenn M, 1980. "Person-Specific Information in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 88(3), pages 578-597, June.
    17. Saloner, Garth, 1985. "Old Boy Networks as Screening Mechanisms," Journal of Labor Economics, University of Chicago Press, vol. 3(3), pages 255-267, July.
    18. Laura K. Gee & Jason Jones & Moira Burke, 2017. "Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 485-518.
    19. Cappellari, Lorenzo & Tatsiramos, Konstantinos, 2015. "With a little help from my friends? Quality of social networks, job finding and job match quality," European Economic Review, Elsevier, vol. 78(C), pages 55-75.
    20. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
    21. Liu, Xiao-xiao & Keller, Joshua & Hong, Ying-yi, 2015. "Hiring of Personal Ties: A Cultural Consensus Analysis of China and the United States," Management and Organization Review, Cambridge University Press, vol. 11(1), pages 145-169, March.
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    More about this item

    Keywords

    Guanxi; Job match; Job turnover; China;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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