Research on Sustainable Development of Competitive Sports in China based on PSR and DEA Model

Authors

  • Yuheng Fang

DOI:

https://doi.org/10.54691/fsd.v2i5.696

Keywords:

PSR Model, Principal Component Analysis Entropy Method Coupling Coordination, Disorder Factor Analysis, Grey Relational Data Envelope Analysis

Abstract

This paper evaluates the sustainable development of China's competitive sports by using PSG model, principal component analysis, entropy method, coupling coordination degree model and grey correlation model. Sports development in the area of the sample and take the PSG model, principal component analysis (PCA) and entropy method to evaluate various provinces and cities and regions in the development of competitive sports scores, the PSR model coupling coordination degree evaluation of parts of the development of the coordination degree between the three systems, and finally build obstacle factor analysis model of gray correlation analysis to find the obstructive factors for the development of competitive sports. Confirmatory analysis by quantitative research method shows that the eastern region has the highest score in sustainability evaluation and the highest coupling coordination degree. It is suggested that in order to promote the sustainable development of competitive sports, all regions should increase the expenditure of sports development and the number of sports talents reserve.

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References

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Published

2022-05-16

Issue

Section

Articles

How to Cite

Fang, Y. (2022). Research on Sustainable Development of Competitive Sports in China based on PSR and DEA Model. Frontiers in Sustainable Development, 2(5), 33-46. https://doi.org/10.54691/fsd.v2i5.696