Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Influencing Factors Analysis of Birth Rate Spatial Distribution in China’s Provinces

Authors
Liyun Su1, *, Haiqin Yu1, Fenglan Li2, Yun Jiang2
1School of Science, Chongqing University of Technology, Chongqing, China
2Chongqing University of Technology, Chongqing, China
*Corresponding author. Email: suliyun@cqut.edu.cn
Corresponding Author
Liyun Su
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_122How to use a DOI?
Keywords
birth rate; spatial regression; factor analysis; factor spatial lag model
Abstract

The long-term development of China's economy is inseparable from the labor force, and the birth rate is an important factor to promote China's economic development. This paper uses spatial statistics to analyze the potential social causes of influencing the spatial distribution of birth rates in Chinese provinces. The influence factors of economic development, social security and cultural life constructed by factor analysis and the spatial interaction effect of birth rate in provinces were incorporated into the spatial statistical model, and the factor space regression model was established and compared. The results show that: the spatial distribution of birth rate in China's provinces is mainly affected by economic development, social security and cultural life; in terms of economic development, especially the per capita disposable income of residents, has a significant role in hindering the rise of birth rate; in terms of social security, it promotes the rise of birth rate; in terms of cultural life, especially the aging rate, has a significant impact on birth rate, the higher the aging rate is, the lower the birth rate is; for the spatial analysis of birth rate in Chinese provinces, the factor spatial lag model is more suitable.

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 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_122
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_122How 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  - Liyun Su
AU  - Haiqin Yu
AU  - Fenglan Li
AU  - Yun Jiang
PY  - 2022
DA  - 2022/12/23
TI  - Influencing Factors Analysis of Birth Rate Spatial Distribution in China’s Provinces
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 1184
EP  - 1195
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_122
DO  - 10.2991/978-94-6463-034-3_122
ID  - Su2022
ER  -