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Job applicant screening in China and its four pillars

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  • Vladimír Hlásny

Abstract

Chinese employers practise extensive personal screening of applicants during the recruitment process. This study identifies four motives for these practices – statistical, customer taste, employer taste and regulatory. It discusses their distinctive roles in the Chinese labour market and in regard to labour-market regulations. Using a convenience sample of large Chinese employers, the study evaluates the economic and institutional determinants of screening approaches and implications for firms’ performance. Statistical screening, based on the assumption that social group membership is an indicator of productivity or loyalty, is found to be related positively to employers’ capitalisation, labour-market power and private ownership, and negatively to skill supply in provincial markets. Customer-taste screening is prevalent in the services and sales sectors, and interestingly in wealthy first-tier cities. Employer-taste screening endures in privately owned firms, and in skill-intensive industries and first-tier cities, and appears linked to customer-taste screening. Some forms of screening breach anti-discrimination laws and persist because of lax enforcement of such laws, but requests for personal data on job applications forms may also reflect compliance with equity indicators. Regulatory compliance-based screening is related positively to firms’ market power, capitalisation and state ownership. The implications of the different screening practices for public policy and corporate strategy are examined.

Suggested Citation

  • Vladimír Hlásny, 2017. "Job applicant screening in China and its four pillars," The Economic and Labour Relations Review, , vol. 28(3), pages 455-473, September.
  • Handle: RePEc:sae:ecolab:v:28:y:2017:i:3:p:455-473
    DOI: 10.1177/1035304617704592
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    1. repec:wyi:journl:002164 is not listed on IDEAS
    2. Peter Kuhn & Kailing Shen, 2015. "Do employers prefer migrant workers? Evidence from a Chinese job board," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-31, December.
    3. Peter Kuhn & Kailing Shen, 2013. "Gender Discrimination in Job Ads: Evidence from China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 287-336.
    4. Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-220, April.
    5. Hamermesh, Daniel S. & Meng, Xin & Zhang, Junsen, 2002. "Dress for success--does primping pay?," Labour Economics, Elsevier, vol. 9(3), pages 361-373, July.
    6. Peter Kuhn & Kailing Shen, 2009. "Employers' Preferences for Gender, Age, Height and Beauty: Direct Evidence," NBER Working Papers 15564, National Bureau of Economic Research, Inc.
    7. Vladimir Hlasny, 2014. "A Hierarchical Process of Applicant Screening by Korean Employers," Journal of Labor Research, Springer, vol. 35(3), pages 246-270, September.
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    More about this item

    Keywords

    Chinese labour market; employment discrimination; hukou; job applicant screening; profiling; recruitment and selection; statistical and taste-based discrimination;
    All these keywords.

    JEL classification:

    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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