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A labdarúgó-világbajnokság kvóta elosztása páros összehasonlításokkal
[Football World Cup quota distribution with pairwise comparisons]

Author

Listed:
  • Csató, László
  • Szádoczki, Zsombor
  • Kiss, László Marcell

Abstract

A labdarúgó-világbajnokság selejtezőit a Nemzetközi Labdarúgó-szövetség (FIFA) hat regionális konföderációja szervezi, amelyek mindegyikéből előre adott számú válogatott jut ki a világbajnokságra. Tanulmányunkban egy, a konföderációk múltbeli teljesítményének összehasonlításán alapuló kvótaelosztást javaslunk. A bemutatott módszertan a hivatalos FIFA-világranglista kontinensek összehasonlítására való kiterjesztésén alapszik. Ennek során számos elméleti és gyakorlati kihívást megválaszolunk, és többféle modellváltozatot is bemutatunk. Az eredmények azt sugallják, hogy a FIFA által 2026-ra alkalmazott kvótaelosztás nem tükrözi a kontinensek közötti tényleges erőviszonyokat. Több európai és dél-amerikai csapatnak kellene részt vennie a jövőbeli világbajnokságokon, valamint az észak- és közép-amerikai, Karibi-térség magasabb kvótát érdemelne, mint az ázsiai. Mindez felhívja a figyelmet egy átlátható, legalább részben teljesítményalapú kvótakiosztás szükségességére.

Suggested Citation

  • Csató, László & Szádoczki, Zsombor & Kiss, László Marcell, 2024. "A labdarúgó-világbajnokság kvóta elosztása páros összehasonlításokkal [Football World Cup quota distribution with pairwise comparisons]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 791-806.
    • Handle: RePEc:ksa:szemle:2197
    DOI: 10.18414/KSZ.2024.7-8.791
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    References listed on IDEAS

    as
    1. Alex Krumer & Juan D. Moreno-Ternero, 2023. "The Allocation of Additional Slots for the FIFA World Cup," Journal of Sports Economics, , vol. 24(7), pages 831-850, October.
    2. Mancini, Simona & Triki, Chefi & Piya, Sujan, 2022. "Optimal selection of touristic packages based on user preferences during sports mega-events," European Journal of Operational Research, Elsevier, vol. 302(3), pages 819-830.
    3. Jan Lasek & Zoltán Szlávik & Marek Gagolewski & Sandjai Bhulai, 2016. "How to improve a team's position in the FIFA ranking? A simulation study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(7), pages 1349-1368, July.
    4. Chater, Mario & Arrondel, Luc & Gayant, Jean-Pascal & Laslier, Jean-François, 2021. "Fixing match-fixing: Optimal schedules to promote competitiveness," European Journal of Operational Research, Elsevier, vol. 294(2), pages 673-683.
    5. Sebastián Cea & Guillermo Durán & Mario Guajardo & Denis Sauré & Joaquín Siebert & Gonzalo Zamorano, 2020. "An analytics approach to the FIFA ranking procedure and the World Cup final draw," Annals of Operations Research, Springer, vol. 286(1), pages 119-146, March.
    6. L'aszl'o Csat'o & L'aszl'o Marcell Kiss & Zsombor Sz'adoczki, 2023. "The allocation of FIFA World Cup slots based on the ranking of confederations," Papers 2310.19100, arXiv.org, revised May 2024.
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    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • Z20 - Other Special Topics - - Sports Economics - - - General

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