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Executive compensation among Australian mining and non-mining firms: Risk taking, long and short-term incentives

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  • Yarram, Subba Reddy
  • Rice, John

Abstract

How firms determine the pay of their executive employees is a vital research area. In the Australian context, mining firms form a large portion of listed companies. These miners tend to have more volatile earnings, operate with less certainty and higher risk in relation to capital investment. We look at a sample of ASX listed miners and non-miners from 2005 to 2013. We note that miners pay their CEOs less (AUD 1m vs AUD 1.5m for non-miners) overall. However, we also note that miners tend to use enhanced contingent long-term remuneration arrangements to significantly boost the pay-performance relationship compared to non-miners particularly during the pre-GFC period. Curiously, non-miners tend to have more generous short-term contingent arrangements linking executive pay and performance. The GFC, as an event, has adversely impacted these arrangements, lessening the generosity of pay-performance among miners, while enhancing these arrangements among non-miners. Overall, the results of the study provide support for optimal contracting theory and do not generally support the managerial power approach for both mining and non-mining firms.

Suggested Citation

  • Yarram, Subba Reddy & Rice, John, 2017. "Executive compensation among Australian mining and non-mining firms: Risk taking, long and short-term incentives," Economic Modelling, Elsevier, vol. 64(C), pages 211-220.
  • Handle: RePEc:eee:ecmode:v:64:y:2017:i:c:p:211-220
    DOI: 10.1016/j.econmod.2017.03.034
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    More about this item

    Keywords

    G3; M520; C33; Q33; Corporate governance; Executive compensation; Panel data models; Resource booms;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)

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