Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

Based on the Entropy Topsis Model in Urban and Rural Endowment Service Supply Level Evaluation Method Innovation Research In field data in Henan, Jiangxi and Ningxia as an example

Authors
Shujing Li1, *, Ziqian Fu1
1Beijing Normal University, Beijing, China
*Corresponding author. Email: sherleen_9@163.com
Corresponding Author
Shujing Li
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_203How to use a DOI?
Keywords
Residents endowment service satisfaction; effective supply; AHP; Entropy weight method; Topsis comprehensive evaluation model
Abstract

In the context of population aging furtherly deepening in China, it’s an effective way to evaluate the actual pension demand of urban and rural residents and the demand for real pension endowment service by constructing quantitative index models. Also, reasonable policies combined with the advantages of different entities in the aging service can play a role in improving and increasing effective supply around the endowment service. From the perspectives of material, spiritual, economic income and spending, this paper builds factors in aspects of residents’ endowment actual demand, the condition of old-age security and satisfaction and evaluates the effective supply of pension services in each region based on the results of the questionnaire surveys in Henan Province, Jiangxi Province and Ningxia Hui Autonomous Region, using the entropy-containing Topsis. The results show that the satisfaction level of the residents in these three provinces is at a moderately low level, while the residents' demand for elderly care services is at a high level. In detail, the demand for the aging service and the satisfaction level of the elderly care in Jiangxi Province is at a high level, whereas the satisfaction level of elderly care in Henan Province is low and the residents' demand is high, and the demand and satisfaction level of the elderly care in Ningxia Hui Autonomous Region are both low. Based on this, relevant countermeasure suggestions are put forward.

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 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_203How 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

TY  - CONF
AU  - Shujing Li
AU  - Ziqian Fu
PY  - 2022
DA  - 2022/12/29
TI  - Based on the Entropy Topsis Model in Urban and Rural Endowment Service Supply Level Evaluation Method Innovation Research In field data in Henan, Jiangxi and Ningxia as an example
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1399
EP  - 1405
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_203
DO  - 10.2991/978-94-6463-042-8_203
ID  - Li2022
ER  -