Analysis and Prediction of China’s Total National Health Expenditure Time Series Model before and after the COVID-19 Epidemic

DOI

10.2991/978-94-6463-546-1_33How to use a DOI?

Keywords

COVID-19 pandemic; China; Total health expenditure; Forecast

Abstract

Under the influence of the novel coronavirus epidemic, China’s total health expenditure has been affected to some extent, especially after the novel coronavirus epidemic has led to people’s attention to health care. This paper uses time series analysis methods, including unit root test, difference processing, and ARIMA model. Data processing of China’s total health expenditure before the epidemic (1979-2019) and prediction of China’s total health expenditure after the epidemic in the future. The changing trend of China’s total health expenditure and its impact on economic growth is obtained, and a scientific basis is provided to formulate reasonable health expenditure policies. The results show that China’s total health expenditure will show a slight upward trend. The government can optimize health resources and improve policies based on this conclusion and future trends, such as increasing the research and development and application support for medical technology, improving the hierarchical diagnosis and treatment system, and controlling drug prices.

Copyright

© 2024 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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TY  - CONF
AU  - Chenyu Liu
PY  - 2024
DA  - 2024/10/27
TI  - Analysis and Prediction of China’s Total National Health Expenditure Time Series Model before and after the COVID-19 Epidemic
BT  - Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024)
PB  - Atlantis Press
SP  - 298
EP  - 305
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-546-1_33
DO  - 10.2991/978-94-6463-546-1_33
ID  - Liu2024
ER  -