Managing Chinese and Russian healthcare development using a predictive Gray model and an autoregressive relationship model

 
PIIS042473880023258-2-1
DOI10.31857/S042473880023259-3
Publication type Article
Status Published
Authors
Affiliation: Bauman Moscow State Technical University (National Research University)
Address: Russian Federation,
Occupation: PhD in Economics, Professor of Finance
Affiliation: Bauman Moscow State Technical University (National Research University)
Address: Russian Federation
Journal nameEkonomika i matematicheskie metody
EditionVolume 59 No. 3
Pages100-116
Abstract

This article examines the possible risks for health insurance funds due to an ageing population and the prevalence of infectious diseases in the world. By analyzing the structural differences between the existing health insurance funding systems in China and Russia, and using a Gray's model and an autoregressive model to forecast the existing flows of health insurance funds in Russia and China. The results of the forecasting model are then incorporated into a subsequent management model in order to propose optimisations for the future management of health insurance systems in both countries. The novelty of this paper lies not only in the analysis of the structure of the health insurance financing system, but also in the use of a predictive model to propose optimised management decisions for the future development of health insurance. The results provide theoretical support as well as guidance for national health insurance management. The results of the optimized management model for Russian health insurance show that the optimized solution not only improves the financing gap well, but also leaves a balance.

KeywordsFederal Compulsory Health Insurance Fund, compulsory health insurance, large-scale systems, Chinese health care, gray-model forecasting, medical savings accounts, financing system, cost-effectiveness, management.
Received29.11.2022
Publication date19.09.2023
Number of characters56541
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