Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Coupling Coordination Analysis and Obstacle Factor Diagnosis of Sports and Pension Industry Based on Improved Entropy Weight Catastrophe Progression Method

Authors
Xiu-juan Xu1, *, Chun-ge Liang1
1Thing Networking Engineering College, Guangdong Polytechnic of Science and Technology, Guangzhou, China
*Corresponding author. Email: xuxiujuan_lu@163.com
Corresponding Author
Xiu-juan Xu
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_14How to use a DOI?
Keywords
sports industry; pension industry; coupling coordination analysis; catastrophe progression method; cloud entropy weight method
Abstract

Under the background of the gradual integration and development of the sports and pension industry, this paper constructs the evaluation index system of coupling and coordinated development of the sports and pension industry from four dimensions. Based on the “improved entropy weight catastrophe progression method”, the coupling and coordination analysis of sports and the pension industry in 22 regions including Guangdong Province is carried out, furthermore, the cloud entropy weight method is used to improve the weight calculation in catastrophe progression method, which improves the comprehensiveness and objectivity of weight ranking, and makes the evaluation results more scientific and reasonable. Then, combined with the obstacle factor diagnosis model, this paper focuses on the analysis of the coupling coordination time series characteristics and the main obstacle factors of the sports and elderly care industry in Guangdong Province from 2013 to 2017, so as to provide significant reference.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_14How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiu-juan Xu
AU  - Chun-ge Liang
PY  - 2023
DA  - 2023/07/26
TI  - Coupling Coordination Analysis and Obstacle Factor Diagnosis of Sports and Pension Industry Based on Improved Entropy Weight Catastrophe Progression Method
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 108
EP  - 124
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_14
DO  - 10.2991/978-94-6463-200-2_14
ID  - Xu2023
ER  -