IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v39y2018i3p335-345.html
   My bibliography  Save this article

Effectiveness of quality standards regulation considering the behavior of government and firms

Author

Listed:
  • Xujin Pu
  • Zhiping Song
  • Guanghua Han

Abstract

We construct an analysis framework consisting of the central government, a local government, a representative firm, and consumers. This study analyzes how the local government's enforcement, the firm's compliance, and their interaction influence the effectiveness of regulation after the central government has established policies regarding quality standards. We construct three scenarios: perfect enforcement, imperfect enforcement, and collusion. We show that when the local government imperfectly enforces the regulation, the firm's utility and the local government's utility are higher, whereas the degree of the firm's compliance, consumers' utility, and the level of social welfare are lower. When there is collusion between the local government and the firm, the firm's utility and the local government's utility are the highest, but the degree of the firm's compliance, consumers' utility, and the level of social welfare are the lowest among the different scenarios. This study proves that the behavior of governments and firms plays a vital role in the effectiveness of quality standards regulation.

Suggested Citation

  • Xujin Pu & Zhiping Song & Guanghua Han, 2018. "Effectiveness of quality standards regulation considering the behavior of government and firms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(3), pages 335-345, April.
  • Handle: RePEc:wly:mgtdec:v:39:y:2018:i:3:p:335-345
    DOI: 10.1002/mde.2907
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.2907
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.2907?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. Gustavo Magalhães de Oliveira & Paula Sarita Bigio Schnaider & Maria Sylvia Macchione Saes & Gaetano Martino, 2023. "Do private translation mechanisms encourage food safety in dairy production? Evidence from the Brazilian Conseleites," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 862-875, March.

    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:mgtdec:v:39:y:2018:i:3:p:335-345. 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: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.