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Explaining international sporting success: An international comparison of elite sport systems and policies in six countries

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  • De Bosscher, Veerle
  • De Knop, Paul
  • van Bottenburg, Maarten
  • Shibli, Simon
  • Bingham, Jerry

Abstract

The aim of this article is to explore the relationship between elite sport policy systems (inputs and throughputs) and success in international competitions (outputs). A conceptual model of the sports policy factors, which lead to international sporting success, was implemented in an empirical environment in a pilot study with six nations. The study has sought to operationalise nine pillars, or key drivers in elite sport systems, into measurable concepts, which can be aggregated into an overall score for each pillar. In addition to a national sport policy questionnaire, athletes, coaches and performance directors were also involved in the collection of qualitative and quantitative data. Although the results are inconclusive, the findings suggest that some pillars could be regarded as possible drivers of an effective system because they were prioritised in the most successful sample nations: financial resources (pillar 1), athletic and post-career support (pillar 5), training facilities (pillar 6) and coach development (partly pillar 7).

Suggested Citation

  • De Bosscher, Veerle & De Knop, Paul & van Bottenburg, Maarten & Shibli, Simon & Bingham, Jerry, 2009. "Explaining international sporting success: An international comparison of elite sport systems and policies in six countries," Sport Management Review, Elsevier, vol. 12(3), pages 113-136, August.
  • Handle: RePEc:eee:spomar:v:12:y:2009:i:3:p:113-136
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    4. Osokin, N. & Solntsev, I., 2017. "Constructing a Multidimensional Indicator of Sports Development: the Case of the Football Development Index," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 135-163.
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    9. Javier Brazo-Sayavera & Pedro R Olivares & Georgios Andronikos & Russell J J Martindale, 2017. "Spanish version of the Talent Development Environment Questionnaire for sport: Cultural adaptation and initial validation," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-10, June.
    10. Hallmann, Kirstin & Breuer, Christoph & Kühnreich, Benedikt, 2013. "Happiness, pride and elite sporting success: What population segments gain most from national athletic achievements?," Sport Management Review, Elsevier, vol. 16(2), pages 226-235.
    11. Dowling, Mathew & Brown, Phil & Legg, David & Beacom, Aaron, 2018. "Living with imperfect comparisons: The challenges and limitations of comparative paralympic sport policy research," Sport Management Review, Elsevier, vol. 21(2), pages 101-113.
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    13. Truyens, Jasper & De Bosscher, Veerle & Sotiriadou, Popi & Heyndels, Bruno & Westerbeek, Hans, 2016. "A method to evaluate countries’ organisational capacity: A four country comparison in athletics," Sport Management Review, Elsevier, vol. 19(3), pages 279-292.
    14. Gerke, Anna & Babiak, Kathy & Dickson, Geoff & Desbordes, Michel, 2018. "Developmental processes and motivations for linkages in cross-sectoral sport clusters," Sport Management Review, Elsevier, vol. 21(2), pages 133-146.
    15. Yun Hyeong Choi & Qingyuan Wei & Luyao Zhang & Seong-Jin Choi, 2022. "The Impact of Cultural Distance on Performance at the Summer Olympic Games," SAGE Open, , vol. 12(1), pages 21582440221, March.
    16. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.

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