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

Chenyu Liu ()
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Chenyu Liu: The University of Melbourne, Business and Economics

A chapter in Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024), 2024, pp 298-305 from Springer

Abstract: 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.

Keywords: COVID-19 pandemic; China; Total health expenditure; Forecast (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-546-1_33

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DOI: 10.2991/978-94-6463-546-1_33

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