IDEAS home Printed from https://ideas.repec.org/a/wly/intssr/v64y2011i4p73-98.html
   My bibliography  Save this article

Employer attitudes towards social insurance compliance in Shanghai, China

Author

Listed:
  • Chris Nyland
  • S. Bruce Thomson
  • Cherrie J. Zhu

Abstract

Managing employer social insurance compliance is a particularly difficult governance challenge in emerging economies that have weak regulatory regimes. Utilizing qualitative evidence from eight case studies conducted in Shanghai, the People's Republic of China, this article details how employers respond to attempts by the State to manage social insurance behaviour. Five concerns arose from employers' perceptions and responses to the established policies and regulatory structures: construction of an effective policy, level playing field, cost control, firm reputation, and recruitment and retention. Further, the findings indicate that there are three enterprise features that could affect compliance behaviour: risk factors, skill composition of the workforce, and form of ownership. It was anticipated that firm size may affect compliance behaviour, but no clear pattern emerged.

Suggested Citation

  • Chris Nyland & S. Bruce Thomson & Cherrie J. Zhu, 2011. "Employer attitudes towards social insurance compliance in Shanghai, China," International Social Security Review, John Wiley & Sons, vol. 64(4), pages 73-98, October.
  • Handle: RePEc:wly:intssr:v:64:y:2011:i:4:p:73-98
    DOI: 10.1111/j.1468-246X.2011.01412.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-246X.2011.01412.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1468-246X.2011.01412.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Yihong & Gao, Jiayan, 2023. "Employee protection and trade credit: Learning from China's social insurance law," Economic Modelling, Elsevier, vol. 127(C).
    2. Jiakai Zhang & Renjie Zhao, 2022. "The effect of population aging on pension enforcement: Do firms bear the burden?," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1644-1662, October.
    3. Hanming Fang & Jin Feng, 2018. "The Chinese Pension System," NBER Working Papers 25088, National Bureau of Economic Research, Inc.
    4. Rickne, Johanna, 2013. "Labor market conditions and social insurance in China," China Economic Review, Elsevier, vol. 27(C), pages 52-68.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:intssr:v:64:y:2011:i:4:p:73-98. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1865-1674 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.