SHS Web Conf.
Volume 181, 20242023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
|Number of page(s)
|Digital Transformation and Emerging Technologies
|17 January 2024
The Relationship Between Aging, Economic Development and Healthcare Expenditure in Japan: An Empirical Analysis
College of Finance and Statistics, Hunan University, Changsha, 410082, China
* Corresponding author: email@example.com
This paper investigates the relationship between ageing, economic development, and healthcare expenditure in Japan, considering the challenges posed by an ageing population. The study utilizes a VAR and ARMAX modelling approach to analyse the complex dynamics among these variables. The empirical results reveal interesting findings that contrast with previous literature. While population ageing is often assumed to lead to increased healthcare spending, this study finds no significant correlation between population ageing and healthcare expenditure as a percentage of GDP. The analysis suggests that factors such as advancements in medical technology, healthcare system efficiency, and cultural variations in healthcare utilization patterns may have mitigated the expected rise in healthcare expenditure associated with an ageing population. These findings have implications for policymakers and investors. Policymakers should consider a broader range of factors beyond population ageing when projecting future healthcare expenditures and developing strategies for managing healthcare costs. Investors can benefit from a nuanced understanding of the healthcare sector, focusing on areas such as medical technology, innovation, and healthcare delivery models that are likely to be influenced by population ageing and changing healthcare needs. Overall, this research contributes to the existing knowledge base, offering insights for addressing the challenges of population ageing and healthcare sustainability.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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