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Comparative Assessment the of Effectiveness of Sports Development in the Russian Regions on the Basis of DEA Method

Author

Listed:
  • Yuri Zelenkov

    (National Research University Higher School of Economics)

  • Valeriy Tsvetkov

    (Market Economy Institute RAS)

  • Ilya Solntsev

    (Financial University under the Government of Russian Federation)

Abstract

The article investigates the financial resource management for the development of mass and elite sports at the regional level. The authors used statistical data of the Ministry of Sports that include 28 socio-economic indicators and 39 indicators of sports development in 82 regions for 2012 — 2015. A model of sports development was built using PLS-SEM method. We identified the following latent variables: economic development of the region; funds allocated to sports development; availability of resources; development of mass sports; development level of professional sports; results in elite sports, results in adaptive sports. The level of regional economic development affects the amount of funding allocated to the sports, which in turn determines the availability of resources. Availability of resources affects the success in the development of mass and professional sports. Success in professional sports determines results in great sporting achievements and adaptive sports. Structural modelling allowed us to identify measurable indicators of resources (model inputs) and results of sports development (model outputs). The authors assessed the effectiveness of transformation of inputs into outputs using DEA method. We investigated two models. The first one uses the indicators of mass sports development as outputs, the second one uses the indictors of professional sports development as outputs. The inputs of both models are the indicators of financial resources for sports. The simultaneous review of the effectiveness of two directions allows to emphasize the features of each region and evaluate balance in the development of mass and professional sports. The modelling results allow to identify several groups of regions with similar parameters, which may be due to their similar locations.

Suggested Citation

  • Yuri Zelenkov & Valeriy Tsvetkov & Ilya Solntsev, 2017. "Comparative Assessment the of Effectiveness of Sports Development in the Russian Regions on the Basis of DEA Method," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1184-1198.
    • Handle: RePEc:ura:ecregj:v:1:y:2017:i:4:p:1184-1198
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    References listed on IDEAS

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    2. Pamela Wicker & Kirstin Hallmann & Christoph Breuer, 2013. "Analyzing the impact of sport infrastructure on sport participation using geo-coded data: Evidence from multi-level models," Sport Management Review, Taylor & Francis Journals, vol. 16(1), pages 54-67, January.
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    5. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
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    Cited by:

    1. Osokin, N. & Solntsev, I. & Zaytsev, P., 2018. "The Socio-Economic Importance of Grassroots Football in Russia: Possibilities for Research," Journal of the New Economic Association, New Economic Association, vol. 40(4), pages 184-191.
    2. Dina A. M. Miragaia & João J. M. Ferreira & Cédric T. Vieira, 2024. "Efficiency of Non-profit Organisations: a DEA Analysis in Support of Strategic Decision-Making," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3239-3265, March.

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