Convergence Analysis of Resident Medical Insurance Financing Burden Based on Dynamic Panel Model
- VernacularTitle:基于动态面板数据模型的居民医保筹资负担收敛分析
- Author:
Dawei QIN
1
;
Jiahao ZHANG
;
Tao SHI
;
Siran WANG
;
Yangdong CAO
;
Tao ZHANG
Author Information
1. 临沂市人民医院临沂市医院DRG管理与应用重点实验室 山东 临沂 276000
- Keywords:
resident medical insurance;
financing burden;
dynamic panel model;
convergence analysis;
Shangdong
- From:
Chinese Health Economics
2024;43(5):48-52
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the time evolution of financing burden and discuss the feasibility of provincial pooling by analyzing the panel data of"individual contribution burden ratio"and"government subsidy burden ratio"of residents'medical insurance in Shandong Province from 2015 to 2022.Methods:Spatial auto-correlation was used to analyze the spatial agglomeration and heterogeneity pattern;convergence analysis was used to analyze the inter-annual trends in the economic burden.Results:The"out-of-pocket ratio"increased year by year and the difference among cities was significant,the Moran's I value decreased year by year,and the geographical distribution pattern showed a random distribution pattern;the"government subsidy burden ratio"had little difference among cities,the global Moran's index value increased year by year,and the spatial agglomeration pattern was enhanced;both of them had σ convergence and absolute β convergence,showing a trend of balanced development.Conclusion:In order to promote provincial-level coordination,safeguard fund security and reduce the burden on residents,economic synergistic development strategies have been adopted to raise residents'incomes;emphasis has been placed on cutting back on income and expenditure,fine-tuning fund supervision;and reforming the financing mechanism,formulating fine-tuning financing standards and focusing on the increase in the cost of disease prevention and control have been adopted,so as to provide references for the improvement of the health insurance system and the promotion of the sustainable development of the health insurance cause.
