IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0315054.html
   My bibliography  Save this article

Evaluation of Global South’s efficiency at the Summer Olympics

Author

Listed:
  • Julian Alexander Klöcker
  • Frank Daumann

Abstract

States differ significantly in international sports competitions in how they use the resources they have and whether they do so in an efficient manner. In this paper, we investigate the efficiency of the nations from the so-called “Global South”, in total 52 states, during the 2000–2024 Summer Olympics. By doing this, our paper is the first using the Bayesian stochastic frontier analysis for exploring the performance of the states of the Global South. We perform an age decomposition, which shows that the 25–29 and 30–34 age cohorts contribute the most to Olympic performance. Our findings also suggests that transient efficiencies are higher than persistent efficiencies in a majority of the analyzed nations. Our analysis represents an important contribution in analyzing developing states‘ efficiency in elite sports.

Suggested Citation

  • Julian Alexander Klöcker & Frank Daumann, 2025. "Evaluation of Global South’s efficiency at the Summer Olympics," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0315054
    DOI: 10.1371/journal.pone.0315054
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0315054
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0315054&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0315054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bernd Frick & Robert Simmons, 2008. "The impact of managerial quality on organizational performance: evidence from German soccer," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 593-600.
    2. Nguyen Khac Minh & Giang Thanh Long, 2008. "Factor productivity and efficiency of the Vietnamese economy in transition," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 15(1), pages 93-117, June.
    3. Eike Emrich & Markus Klein & Werner Pitsch & Christian Pierdzioch, 2012. "On the determinants of sporting success – A note on the Olympic Games," Economics Bulletin, AccessEcon, vol. 32(3), pages 1890-1901.
    4. S Lozano & G Villa & F Guerrero & P Cortés, 2002. "Measuring the performance of nations at the Summer Olympics using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 501-511, May.
    5. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    6. Johann Graf Lambsdorff, 2003. "How Corruption Affects Productivity," Kyklos, Wiley Blackwell, vol. 56(4), pages 457-474, November.
    7. Gary Koop & Mark F J Steel, 1999. "Bayesian Analysis of Stochastic Frontier Models," Edinburgh School of Economics Discussion Paper Series 19, Edinburgh School of Economics, University of Edinburgh.
    8. Skevas, Ioannis, 2024. "Accounting for technology heterogeneity in the measurement of persistent and transient inefficiency," Economic Modelling, Elsevier, vol. 137(C).
    9. C. P. Barros & G. Rossi, 2014. "A Bayesian stochastic frontier of Italian football," Applied Economics, Taylor & Francis Journals, vol. 46(20), pages 2398-2407, July.
    10. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    11. Chen, Hong & Wang, Xi & Singh, Baljeet, 2021. "Transient and persistent inefficiency traps in Chinese provinces," Economic Modelling, Elsevier, vol. 97(C), pages 335-347.
    12. Pranab Bardhan, 1997. "Corruption and Development: A Review of Issues," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1320-1346, September.
    13. Leo Kahane, 2005. "Production Efficiency and Discriminatory Hiring Practices in the National Hockey League: A Stochastic Frontier Approach," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 27(1), pages 47-71, August.
    14. Ralph Ramos & Veerle De Bosscher & Aurélie Pankowiak & Christian Wisdom Valleser, 2023. "Contexts shaping the development and success of elite sport systems: a scoping review," Sport Management Review, Taylor & Francis Journals, vol. 26(5), pages 649-676, October.
    15. Luis Antonio Andrade Rosas, 2019. "Quantitative and qualitative impact of GDP on sport performance and its relation with corruption and other social factors," Nóesis. Revista de Ciencias Sociales y Humanidades, Nóesis. Revista de Ciencias Sociales y Humanidades, vol. 28, pages 15-37, 55.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weill, Laurent, 2011. "How corruption affects bank lending in Russia," Economic Systems, Elsevier, vol. 35(2), pages 230-243, June.
    2. Maria Kravtsova & Aleksey Oshchepkov, 2019. "Market And Network Corruption," HSE Working papers WP BRP 209/EC/2019, National Research University Higher School of Economics.
    3. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    4. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.
    5. Gerd Muehlheusser & Sandra Schneemann & Dirk Sliwka & Niklas Wallmeier, 2018. "The Contribution of Managers to Organizational Success," Journal of Sports Economics, , vol. 19(6), pages 786-819, August.
    6. Dzhumashev, Ratbek, 2014. "Corruption and growth: The role of governance, public spending, and economic development," Economic Modelling, Elsevier, vol. 37(C), pages 202-215.
    7. Lakshmi, Geeta & Saha, Shrabani & Bhattarai, Keshab, 2021. "Does corruption matter for stock markets? The role of heterogeneous institutions," Economic Modelling, Elsevier, vol. 94(C), pages 386-400.
    8. Miguel Jara & Dimitri Paolini & Juan Dios Tena Horrillo, 2015. "Management Efficiency in Football: An Empirical Analysis of Two Extreme Cases," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(5), pages 286-298, July.
    9. Méon, Pierre-Guillaume & Weill, Laurent, 2010. "Is Corruption an Efficient Grease?," World Development, Elsevier, vol. 38(3), pages 244-259, March.
    10. C. P. Barros & O. H. dos S. Figueiredo & Silvestre Dumbo, 2016. "A performance assessment of the Angolan soccer league," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2711-2720, June.
    11. David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.
    12. Anokhin, Sergey & Schulze, William S., 2009. "Entrepreneurship, innovation, and corruption," Journal of Business Venturing, Elsevier, vol. 24(5), pages 465-476, September.
    13. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    14. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    15. Alexandre de Cássio Rodrigues & Carlos Alberto Gonçalves & Tiago Silveira Gontijo, 2019. "A two-stage DEA model to evaluate the efficiency of countries at the Rio 2016 Olympic Games," Economics Bulletin, AccessEcon, vol. 39(2), pages 1538-1545.
    16. Salinas-Jimenez, M del Mar & Salinas-Jimenez, Javier, 2007. "Corruption, efficiency and productivity in OECD countries," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 903-915.
    17. Bridgewater, Sue & Kahn, Lawrence M. & Goodall, Amanda H., 2009. "Substitution between Managers and Subordinates: Evidence from British Football," IZA Discussion Papers 4589, Institute of Labor Economics (IZA).
    18. Leonardo Becchetti & Luca Corazzini & Vittorio Pelligra, 2021. "Trust and Trustworthiness in Corrupted Economic Environments," Games, MDPI, vol. 12(1), pages 1-26, February.
    19. Irfan Kurniawan & Riyanto, 2020. "Should I Bribe? Re-Examining the Greasing-the-Wheels Hypothesis in Democratic Post-Soeharto Indonesia," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 66, pages 123-140, Desember.
    20. Cooray, Arusha & Dzhumashev, Ratbek, 2018. "The effect of corruption on labour market outcomes," Economic Modelling, Elsevier, vol. 74(C), pages 207-218.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0315054. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.