Measurement Research on the Coupling and Coordinated Development of Digital Economy and Smart Pension

Bing Bai, Shengxian Xu (), Ru Bai, Feng Yuan and HaoYang Tan
Additional contact information
Bing Bai: Shandong Management University
Shengxian Xu: Shandong Management University
Ru Bai: Shandong Management University
Feng Yuan: Shandong Management University
HaoYang Tan: Shandong Management University

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 326-333 from Springer

Abstract: Abstract By constructing entropy weight-improved TOPSIS model, coupling coordination degree model and grey relational degree mode, this study deeply analyzed the coupling coordination level of digital economy and smart elderly care in northwest China. The results show that the development level of digital economy and smart pension in northwest China shows a steady rise in general; At the same time, the coupling coordination degree of the two is also constantly improving, and the basic coordination stage will be reached in 2023. There is a strong correlation between the indicators of digital economy and smart elderly care. Through a detailed discussion of the coupling and coordination relationship between the digital economy and smart elderly care, this study further found that the digital economy has a significant role in promoting the high-quality development of smart elderly care. This finding provides a new idea for the application of digital economy in the field of smart elderly care, and has important reference value for national macro-control and local governments to formulate relevant policies.

Keywords: Digital economy; Intelligent elderly care; Coupling coordination degree model; Grey relational degree mode (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:advbcp:978-94-6463-570-6_34

Ordering information: This item can be ordered from
http://www.springer.com/9789464635706

DOI: 10.2991/978-94-6463-570-6_34

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().