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Rating evaluation of sports development efficiency using statistical analysis: evidence from Russian football

Author

Listed:
  • Ilya Solntsev
  • Anatoly Vorobyev
  • Elnura Irmatova
  • Nikita Osokin

Abstract

Increasing investments into various dimensions of sports draw a significant amount of attention to the way these resources are being managed and which organizations achieve development goals with higher efficiency. This paper reviews the methodology of designing an efficiency rating model for assessing sports entities, focusing on the experience of Russian football. The Russian Regional Efficiency of Football Development model aims to evaluate the regional federations of the Football Union of Russian via 5 dimensions. The scoring method of the model is based on the three-sigma rule of distribution. Support factors in the form of population density and climate were also included, since Russian regions significantly differentiate in these aspects. The findings of this paper showcased that not a single region was able to achieve a maximum 5- star rating, while regions set to host the 2018 FIFA World Cup did not score better compared to others. In conclusion the authors provide various suggestions on further developing and implementing rating models within global sports organizations.

Suggested Citation

  • Ilya Solntsev & Anatoly Vorobyev & Elnura Irmatova & Nikita Osokin, 2016. "Rating evaluation of sports development efficiency using statistical analysis: evidence from Russian football," Papers 1612.07543, arXiv.org.
  • Handle: RePEc:arx:papers:1612.07543
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    1. Bohringer, Christoph & Jochem, Patrick E.P., 2007. "Measuring the immeasurable -- A survey of sustainability indices," Ecological Economics, Elsevier, vol. 63(1), pages 1-8, June.
    2. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    3. Dimitra Papadimitriou & Peter Taylor, 2000. "Organisational Effectiveness of Hellenic National Sports Organisations: A Multiple Constituency Approach," Sport Management Review, Taylor & Francis Journals, vol. 3(1), pages 23-46, January.
    4. Shyamal Chowdhury & Lyn Squire, 2006. "Setting weights for aggregate indices: An application to the commitment to development index and human development index," Journal of Development Studies, Taylor & Francis Journals, vol. 42(5), pages 761-771.
    5. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    6. Papadimitriou, Dimitra & Taylor, Peter, 2000. "Organisational Effectiveness of Hellenic National Sports Organisations: A Multiple Constituency Approach," Sport Management Review, Elsevier, vol. 3(1), pages 23-46, May.
    7. Clinton, Joshua D. & Lewis, David E., 2008. "Expert Opinion, Agency Characteristics, and Agency Preferences," Political Analysis, Cambridge University Press, vol. 16(1), pages 3-20, January.
    8. Jan Lorenz & Christoph Brauer & Dirk Lorenz, 2017. "Rank-Optimal Weighting or “How to be Best in the OECD Better Life Index?”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 75-92, October.
    9. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "The Socio-Economic Determinants of International Soccer Performance," Journal of Applied Economics, Universidad del CEMA, vol. 5, pages 253-272, November.
    10. Santeramo, Fabio Gaetano, 2014. "On the composite indicators for food security: Decisions matter!," MPRA Paper 58955, University Library of Munich, Germany.
    11. Scully, Gerald W., 1995. "The Market Structure of Sports," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226743950, September.
    12. Elnura Irmatova, 2016. "RELARM: A rating model based on relative PCA attributes and k-means clustering," Papers 1608.06416, arXiv.org.
    13. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
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