Research on the Influencing Factors of Chinese Healthcare Resource Allocation Problems Based on Principal Component Analysis

Bingzhang Wang

2025

Abstract

With the development of the social economy and the people's need for a better life, more and more people begin to pay attention to physical health. Consequently, the judicious allocation of healthcare resources has become paramount. This study utilizes 2022 healthcare indicator data from various regions of China. Before analysis, the data underwent Kaiser-Meyer-Olkin (KMO) and Bartlett's tests to confirm its suitability. Subsequently, a principal component analysis (PCA) was employed to construct a comprehensive evaluation model, facilitating an investigation into the allocation of healthcare resources across different regions. The findings revealed that factors such as population, economic conditions, and healthcare supply all positively influence the allocation of medical resources. Ultimately, this research aims to inform the development of a high-quality and efficient healthcare service system in China. Furthermore, it seeks to contribute to resource sharing among regions, reduce healthcare disparities, and ensure equitable access to medical care across all areas of China.

Paper Citation

in Harvard Style

Wang B. (2025). Research on the Influencing Factors of Chinese Healthcare Resource Allocation Problems Based on Principal Component Analysis. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 391-396. DOI: 10.5220/0013826500004708

in Bibtex Style

@conference{iampa25,
author={Bingzhang Wang},
title={Research on the Influencing Factors of Chinese Healthcare Resource Allocation Problems Based on Principal Component Analysis},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={391-396},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013826500004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Research on the Influencing Factors of Chinese Healthcare Resource Allocation Problems Based on Principal Component Analysis
SN - 978-989-758-774-0
AU - Wang B.
PY - 2025
SP - 391
EP - 396
DO - 10.5220/0013826500004708
PB - SciTePress