Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Analysis of the Differentiation of Medical Resource Allocation and Its Influencing Factors

——Based on the Number of Health Care Institutions in Each Province of the Country

Authors
Quanlv Guo1, Xiuli Zhang2, *
1College of Mathematics and Statistics Chongqing Technology and Business University, Nanan, 400000, China
2College of Big Data Statistics Guizhou University of Finance and Economics, Guiyang, 550000, China
*Corresponding author. Email: 2630132560@qq.com
Corresponding Author
Xiuli Zhang
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_6How to use a DOI?
Keywords
Global Moran’s I; Local Moran’s I; Non-parametric KDE; Random Forest Regression
Abstract

To allocate medical resources more reasonably and effectively, and to promote the sustainable development of health initiatives, this paper analyzes data on the number of medical and health institutions in China from 1990 to 2023. It explores the spatial and temporal differences in the allocation of medical resources through the analysis of Global and Local Moran’s I, as well as non-parametric KDE. Additionally, Random Forest Regression model is employed to identify the key factors influencing the number of medical and health institutions. The findings indicate that the national level of healthcare resource allocation has increased significantly and stabilized after 2010, with the greatest degree of differentiation observed among provinces in the central and western regions. Furthermore, Per capita disposable income and population mortality rate are identified as key factors affecting the number of medical and health institutions.

Copyright
© 2025 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 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_6How to use a DOI?
Copyright
© 2025 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  - Quanlv Guo
AU  - Xiuli Zhang
PY  - 2025
DA  - 2025/02/28
TI  - Analysis of the Differentiation of Medical Resource Allocation and Its Influencing Factors
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 47
EP  - 57
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_6
DO  - 10.2991/978-94-6463-656-7_6
ID  - Guo2025
ER  -