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

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Linear Regression Model is Used to Analyze Regional Development Differences and Influencing Factors in China's Insurance Market

Authors
Zitong Yin1, *
1Actuarial Science Xi’an Jiaotong-Liverpool University, 215123, Suzhou, Jiangsu, China
*Corresponding author.
Corresponding Author
Zitong Yin
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_206How to use a DOI?
Keywords
premium income; personal insurance; per capita disposable income; enterprise retirement; per capita pension; per capita savings deposit
Abstract

Insurance is one of the three drivers of the financial industry and an essential part of the national economy. Its growth and expansion are of great significance to the healthy development of the national economy. Since the reform and opening-up, China's insurance industry has developed rapidly. Global premium growth is expected to stabilize at 4.4 percent over the next 10 years, while growth in the Chinese market is expected to average 9.5 percent[1]. However, unbalanced regional development has appeared in China's insurance market. Therefore, this paper will study the regional differences in China's insurance market growth and its influencing factors.

At first, per capita disposable income, per capita pension of enterprises, per capita savings deposit, juvenile and child dependency ratio, elderly population dependency ratio, and the proportion of the tertiary industry were selected as explanatory variables to study the factors affecting premium income. The least-square method is used to build a regression model to calculate its correlation.

The data are the cross-sectional data of provincial administrative units in China from 2018 to 2020. After the model establishment and test, the conclusion is drawn that per capita disposable income, per capita pension and per capita savings are the important factors that lead to the unbalanced development of regional premium income.

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
10.2991/978-94-6463-042-8_206
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_206How 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

risenwbib
TY  - CONF
AU  - Zitong Yin
PY  - 2022
DA  - 2022/12/29
TI  - Linear Regression Model is Used to Analyze Regional Development Differences and Influencing Factors in China's Insurance Market
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1417
EP  - 1423
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_206
DO  - 10.2991/978-94-6463-042-8_206
ID  - Yin2022
ER  -