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Adding conditional superannuation to the antidoping policy mix
journal contribution
posted on 2018-04-09, 12:25 authored by Liam J. Lenten, Aaron C. Smith, Ralph-Christopher BayerThis article introduces and then examines a novel antidoping policy mechanism, based upon a conditional superannuation fund for professional athletes. It begins by presenting a theoretical case in favor of the scheme relative to the background of current policy. Consideration is given to the utility and benefits of a conditional superannuation mechanism to augment existing antidoping policy structures. The case is developed using results from a pilot experimental economics study testing the policy proposal, which suggests that the conditional superannuation mechanism has the potential to outperform existing measures, such as fines and bans. This article offers a policy variation that could supplement the existing arrangements as a contiguous mechanism. While no single policy intervention seems plausible in fully eliminating sport doping, a combination of incentive and punitive mechanisms may yield a superior policy mix to help attenuate doping's prevalence in elite sport. The evidence presented here within the antidoping policy context may also recommend the utility of conditional superannuation as a mechanism to address other enduring challenges in sport, such as violence, gambling, and behavioral transgressions.
Funding
The authors gratefully acknowledge financial assistance for the pilot study experiments (that produced the results presented in this paper), which was provided by La Trobe University’s Sport, Exercise and Rehabilitation Research Focus Area.
History
School
- Loughborough University London
Published in
Journal of Sport ManagementVolume
31Issue
6Pages
591 - 604Citation
LENTEN, L.J., SMITH, A.C. and BAYER, R-C., 2017. Adding conditional superannuation to the antidoping policy mix. Journal of Sport Management, 31 (6), pp.591-604.Publisher
© Human KineticsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2017-11-30Notes
This paper is closed access.ISSN
0888-4773eISSN
1543-270XPublisher version
Language
- en