Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Explore the Aging of the Population and its Impact on Technological Innovation

Authors
Liujuan Chen1, Jiale Tan1, Peng Luo1, *, Zongliang Hu1
1College of Mathematics and Statistics, Shenzhen University, Shenzhen, China
*Corresponding author. Email: luopeng@szu.edu.cn
Corresponding Author
Peng Luo
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_2How to use a DOI?
Keywords
Population aging; Technological innovation; Two-way fixed effects models; ARIMA model
Abstract

The results of the seventh national population census show that the aging of the population in China has significantly accelerated, leading to a decrease in the proportion of working-age population, and thus affecting China’s scientific and technological innovation. With the continuous and complex changes in the current world situation, the study of the impact of population aging on technological innovation has theoretical and practical significance. Based on this, this article selects the time series data of the proportion of people aged 65 and above in China from 1990 to 2021, uses ARIMA model to predict the development trend of population aging in the next five years. Then, panel data from 31 provinces in China from 2006 to 2019 were selected, and a two-way fixed effects model was constructed to analyze the impact of population aging on technological innovation in China. The results show that the development of population aging in China shows a trend of increasing by about 0.7 percentage points per year. The relationship between population aging and technological innovation is a significant inverted U-shaped curve relationship, with a critical value of 13.46.

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 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
10.2991/978-94-6463-276-7_2
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_2How 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  - Liujuan Chen
AU  - Jiale Tan
AU  - Peng Luo
AU  - Zongliang Hu
PY  - 2023
DA  - 2023/10/27
TI  - Explore the Aging of the Population and its Impact on Technological Innovation
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 4
EP  - 17
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_2
DO  - 10.2991/978-94-6463-276-7_2
ID  - Chen2023
ER  -