| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 02049 | |
| Number of page(s) | 9 | |
| Section | Big Data Environment Management Application and Industry Research | |
| DOI | https://doi.org/10.1051/e3sconf/202125302049 | |
| Published online | 06 May 2021 | |
Research on Impact Factors of Smart Elderly Care Mode and the Corresponding Industry: ──Taking Questionnaire Data of Some Cities in Jiangsu Province as An Example
1 Wuxi Environmental Science and Engineering Research Center Jiangsu
2 Wuxi Society of Population and Social Development Wuxi China
3 College of Management and Economics Tianjin University Tianjin China
4 Jiangsu Population Association Jiangsu, Nanjing China
a Corresponding author: skylittlestar@126.com
b Corresponding author: xzxlxb@163.com
c Corresponding author: 1279347249@qq.com
With the development of Internet of things technology, the smart elderly care mode is attracting more and more attention. Based on the questionnaire data of adult residents in some cities of Jiangsu Province, this paper analyzes the multiple linear regression model between the intelligent elderly care mode and its possible influencing factors. And it can be found that for participants aged 59 and under, their educational level, blood type, professional identity and age have a significant impact on intelligent old-age care mode. For participants aged 60 and over, only their educational level and age have a significant impact on the smart old-age care approach. Finally, this paper puts forward some suggestions about the development of industries related to intelligent elderly care to build an integrated intelligent community old-age care pattern, integrated pattern of intelligent home-based care or integrated smart home-based care service center, adjust and perfect the existing elderly care institutions, and improve intelligence old-age care institutions pattern to promote the development of intelligent industry related to smart elderly care.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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