IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v5y2020i6id50602.html

The Effect of Good Corporate Governance (GCG) Mechanism on Earnings Management Practices of The Stubben Model (Study Case on Mining Sector Companies Listed on The Indonesia Stock Exchange 2014-2019)

Author

Listed:
  • Muhammad Fairus

    (Mercu Buana University, Indonesia)

  • Pardomuan Sihombing

    (Mercu Buana University, Indonesia)

Abstract

This study was prepared with the intention of analyzing the impact of the Good Corporate Governance (GCG) Mechanism on the Stubben Model of Profit Management (analysis of Mining Sector Companies on the Indonesia Stock Exchange for the period 2014-2019). The population used in the study is the mining sector companies on the IDX. The sample selection method used purposive sampling technique. To process data after sample selection, compile a research model, determine the variables analyzed in the study, and propose a hypothesis, the next step is to carry out data processing procedures through regression analysis with panel data. The results of the analysis conclude that (1) Institutional Ownership has a negative and significant impact on Earnings Management, (2) Managerial Ownership has a negative and significant impact on Earnings Management, (3) The Independent Board of Commissioners has a negative and significant impact on Earnings Management, (4) The Audit Committee has a negative and significant impact on Earnings Management, and (5) Audit Quality has a negative and significant impact on Earnings Management.

Suggested Citation

  • Muhammad Fairus & Pardomuan Sihombing, 2020. "The Effect of Good Corporate Governance (GCG) Mechanism on Earnings Management Practices of The Stubben Model (Study Case on Mining Sector Companies Listed on The Indonesia Stock Exchange 2014-2019)," European Journal of Business and Management Research, European Open Science, vol. 5(6), November.
  • Handle: RePEc:epw:ejbmr0:v:5:y:2020:i:6:id:50602
    DOI: 10.24018/ejbmr.2020.5.6.602
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/50602
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/50602/7050
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2020.5.6.602?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:epw:ejbmr0:v:5:y:2020:i:6:id:50602. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.