Statistical analysis and prediction of the construction demand of smart elderly care

Authors

  • Junyi Zhu
  • Jingyi Sun
  • Zhiyuan Chen

DOI:

https://doi.org/10.62051/wr0h3478

Keywords:

Intelligent pension, ARIMA model, predictive analysis.

Abstract

China is facing a severe problem of population aging, and the number of elderly population is large and continues to grow. Under the current social background, the acceptance of new technology products among the elderly shows a steady increasing trend. From the perspective of empirical research, the popularization of new technology products has become one of the important indicators to measure the modern living level of the elderly. In addition, with the general improvement of education level and the diversification of information access channels, the cognitive ability and learning willingness of the elderly for new technology products have been significantly enhanced.

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References

[1] The "Fast track" to the National Bureau of Statistics. Population Opportunities and Challenges for high-quality Development in the New Era —— Interpretation of the seventh National Population Census Bulletin [EB / OL].2021-05-12.

[2] The Chinese government network. The State Council issued the 14th Five-Year Plan for the Development of the Elderly and the Service System for the Elderly [EB / OL].2022-02-21.

[3] Fa if ice, Wang Changqing. The development status of community smart pension in Jiangsu province from the perspective of dynamic ability [J]. Health Service Management in China, 2023,40 (08): 578-584.

[4] Zhang Jingtang, Rui Guoqiang. Big data-driven intelligent health and pension: realistic representation, internal elements and optimization path [J]. Social Science in Hunan Province, 2023, (05): 132-141.

[5] Xia Siyang, Zhu Xuefang. Research on smart health Information service system for the elderly —— Based on multi-source data fusion technology [J / OL]. Intelligence Science, 1-14 [2024-04-28].

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Published

09-08-2024

How to Cite

Zhu, J., Sun, J., & Chen, Z. (2024). Statistical analysis and prediction of the construction demand of smart elderly care. Transactions on Economics, Business and Management Research, 8, 188-191. https://doi.org/10.62051/wr0h3478