IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v22y2016i8-9p712-731.html
   My bibliography  Save this article

CEO pay in UK FTSE 100: pay inequality, board size and performance

Author

Listed:
  • William Patrick Forbes
  • Michael Pogue
  • Lynn Hodgkinson

Abstract

In this paper we examine the costs of seemingly excessive pay awards to CEOs within the UK FTSE 100 in the last decade and the consequent growth in executive pay inequality. In presenting this evidence we describe variations in the whole distribution of executive pay, rather than invoking some arbitrary cut-off point, to determine how changes in shareholder value match with concurrent changes in the distribution of executive pay. We ask whether the impact of executive pay inequality is a function of board size, rendering the CEO pay slice measure problematic in this context? We then question whether the interaction of board size and corporate performance, as measured by shareholder returns, explain variations in the sensitivity of the pay--performance relationship for UK FTSE 100 executives. We advance the Gini coefficient as a preferable measure of executive pay inequality in order to capture the impact of perceived inequality upon corporate performance.

Suggested Citation

  • William Patrick Forbes & Michael Pogue & Lynn Hodgkinson, 2016. "CEO pay in UK FTSE 100: pay inequality, board size and performance," The European Journal of Finance, Taylor & Francis Journals, vol. 22(8-9), pages 712-731, July.
  • Handle: RePEc:taf:eurjfi:v:22:y:2016:i:8-9:p:712-731
    DOI: 10.1080/1351847X.2014.885457
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1351847X.2014.885457
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1351847X.2014.885457?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Li, Guangqin & Shao, Shuai & Zhang, Lihong, 2019. "Green supply chain behavior and business performance: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 445-455.
    2. Zain UI Abideen & Zeeshan Ahmed & Huan Qiu & Yiwei Zhao, 2023. "Do Behavioral Biases Affect Investors’ Investment Decision Making? Evidence from the Pakistani Equity Market," Risks, MDPI, vol. 11(6), pages 1-32, June.

    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:taf:eurjfi:v:22:y:2016:i:8-9:p:712-731. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REJF20 .

    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.