Evidence map›Paper›PMID 39731161›Full record

ArticleBMC health services research2024

Forecast of total health expenditure on China's ageing population: a system dynamics model.

Shihua Luo, Junlai Zhang, Mark Heffernan

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shihua Luo *Jiangxi University of Finance and Economics, School of Statistics and Data Science, Nanchang, China. luoshihua@aliyun.com.
Junlai Zhang *Jiangxi University of Finance and Economics, School of Statistics and Data Science, Nanchang, China. junlai.zhang@uni-heidelberg.de.
Mark HeffernanWestern Sydney University, School of Computer, Data and Mathematical Sciences, Sydney, Australia.

Funding

Shihua Luo Major Program of the National Social Science Foundation of China (Grant No. 21&ZD152).
6 · The paper itself

Abstract

backgroundChina is currently at a turning point as its total population has started to decline, and therefore faces issues related to caring for an ageing population, which will require an increase in Total Health Expenditure (THE). Therefore, the ability to forecast China's future THE is essential.

methodsWe developed two THE System Dynamics (SD) models using Stella Architect 3.4 to simulate China's THE from 2000 to 2060. The constant prices THE SD model estimates THE under low, medium, and high Total Fertility Rate (TFR) scenarios. The current prices THE SD model serves as a robust calibration check. In addition, we developed a new total Gross Domestic Production (GDP) forecast model to estimate THE/GDP over the same period.

resultsOur simulation results reveal a significant upward trend in China's THE from 2000 to 2060. Specifically, under the low TFR scenario, THE is projected to reach approximately $33.4 trillion in 2015 constant USD by 2060. However, with the introduction of efficiency impact factors, THE is expected to fall to around $8.6 trillion by 2060. Additionally, the per capita Health Expenditure is anticipated to rise from $102 in 2000 to roughly $30,800 by 2060, though it could see a decrease to nearly $7,900 with efficiency improvements. Our GDP forecast for 2060 is nearly $87 trillion, with THE to GDP ratio expected to be about 9.7%. In our scenario analysis, as TFR increases, the growing new births and decreased ageing rate are expected to lead to a rise in THE and a decrease in per capita Health Expenditure.

conclusionThe efficiency of THE utilization needs to be improved. Increasing TFR can help alleviate population decline and ageing to some extent. Enhancing workforce productivity and sustained economic growth is needed to counteract the challenges posed by an ageing population.

Indexed as

ForecastingHealth ExpendituresAgedChinaGross Domestic ProductHumansPopulation DynamicsChina GDP forecastEfficiency impact factorsPopulation ageingScenario analysisSystem dynamicsTHE/GDPTotal fertility rateTotal health expenditureTotal population decline

Identifiers

PMID39731161
PMCPMC11681677

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.