Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model
Jie Wu,
Zhixiang Zhou and
Liang Liang
Additional contact information
Jie Wu: School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China, jacky012@mail.ustc.edu.cn
Zhixiang Zhou: School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China
Liang Liang: School of Management, University of Science and Technology of China, He Fei, An Hui Province, PR China
Journal of Sports Economics, 2010, vol. 11, issue 5, 549-566
Abstract:
A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in Olympic Games. While the fact that numbers of three kinds of medal must only take integer values is ignored. This study discusses, by means of integer-valued DEA model, the performance of each country at 2008 Beijing Summer Olympic Games. The model in the article considers two inputs (gross domestic product [GDP] per capita and population) and three outputs (number of gold, silver, and bronze medals won); the integrality constraints of three kinds of medal and the weight restrictions among three outputs are also included. The results for the 2008 Beijing Summer Olympic Games are analyzed, and integral output targets are also provided for poorly performing countries to use as benchmarks.
Keywords: data envelopment analysis (DEA); integer values; Olympic ranking; efficiency (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1527002509352619 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:jospec:v:11:y:2010:i:5:p:549-566
DOI: 10.1177/1527002509352619
Access Statistics for this article
More articles in Journal of Sports Economics
Bibliographic data for series maintained by SAGE Publications ().