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Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

Author

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  • Pengyu Ren

    (College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
    College of Architecture and Urban Planning, Chongqing University, Chongqing 400044, China)

  • Zhaoxia Liu

    (College of Physical Education, Chongqing University, Chongqing 400044, China)

Abstract

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

Suggested Citation

  • Pengyu Ren & Zhaoxia Liu, 2021. "Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10597-:d:652917
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    References listed on IDEAS

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    1. Xu, Jia & Wei, Jiuchang & Zhao, Dingtao, 2016. "Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model," International Journal of Information Management, Elsevier, vol. 36(3), pages 374-388.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    4. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    5. Peter C. Smith & Andrew Street, 2005. "Measuring the efficiency of public services: the limits of analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 401-417, March.
    6. Jun-Yen Lee, 2007. "Application of the three-stage DEA in measuring efficiency - an empirical evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 49-52.
    7. Shihong Zeng & Mimi Hu & Bin Su, 2016. "Research on Investment Efficiency and Policy Recommendations for the Culture Industry of China Based on a Three-Stage DEA," Sustainability, MDPI, vol. 8(4), pages 1-15, March.
    8. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    9. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    10. Zhensheng Chen & Xueli Chen & Xiaoqing Gan & Kaixuan Bai & Tomas Baležentis & Lixin Cui, 2020. "Technical Efficiency of Regional Public Hospitals in China Based on the Three-Stage DEA," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    11. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. Wei, Ran & Liu, Xiaoyue & Mu, Yongjian & Wang, Liming & Golub, Aaron & Farber, Steven, 2017. "Evaluating public transit services for operational efficiency and access equity," Journal of Transport Geography, Elsevier, vol. 65(C), pages 70-79.
    14. Park, Jun-ki & Ryu, Deockhyun & Lee, Keun, 2019. "What determines the economic size of a nation in the world: Determinants of a nation’s share in world GDP vs. per capita GDP," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 203-214.
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