Proceedings of the 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020)

Analysis on Influencing Factors of Urban Smart Home-Based Elderly Care Satisfaction

Authors
Ran Zhang, Zonghua Li
Corresponding Author
Zonghua Li
Available Online 1 August 2020.
DOI
10.2991/assehr.k.200801.086How to use a DOI?
Keywords
Smart pension, Aging, Satisfaction
Abstract

Based on the survey data of a community in Shanghai, this paper analyzes the satisfaction of the elderly in China. The results show that health, economic and family status have a significant impact on the elderly’s satisfaction of smart home-based care. Health status, economic status and family status have a significant impact on the elderly’s satisfaction of smart home-based care. With the development of society and science and technology, the advantages and problems of smart pension in the promotion process will be more significant.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 August 2020
ISBN
10.2991/assehr.k.200801.086
ISSN
2352-5398
DOI
10.2991/assehr.k.200801.086How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ran Zhang
AU  - Zonghua Li
PY  - 2020
DA  - 2020/08/01
TI  - Analysis on Influencing Factors of Urban Smart Home-Based Elderly Care Satisfaction
BT  - Proceedings of the 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020)
PB  - Atlantis Press
SP  - 354
EP  - 357
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200801.086
DO  - 10.2991/assehr.k.200801.086
ID  - Zhang2020
ER  -