Evidence map›Paper›PMID 31637560›Full record

ArticleInternational journal of health economics and management2020

Health expenditure, human capital, and economic growth: an empirical study of developing countries.

Xiaoxuan Yang

Abstract read
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In one paragraph

Article in International journal of health economics and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  5. The Relationship Between Health Expenditure, COJournal of the knowledge economy · 2023
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  18. Fertility intentions among couples in Shanghai under COVID-19: A cross-sectional study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Xiaoxuan YangHarris School of Public Policy, University of Chicago, 1307 East 60th Street, Chicago, IL, 60637, USA. xyang5@uchicago.edu.ORCID http://orcid.org/0000-0002-8371-0395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social security systems were successively established in most developing countries in the 1980s and 1990s. To ensure the long-term sustainability of these newly established systems it is essential to carefully monitor the economic impact. Based on the panel data of 21 developing countries from 2000 to 2016, this paper is the first to apply the panel threshold model to empirically analyze the relationship between national health expenditures and economic growth under different levels of human capital. The results show that health expenditure and economic growth have significant interval effects because of the different levels of human capital. Specifically, when human capital levels are low, health expenditure is significantly negatively correlated with economic growth. When human capital is at a medium level, health expenditure has a positive but not significant impact on economic growth. When the level of human capital is high, the positive economic impact of the health expenditure is significantly enhanced. In addition, subgroup analyses indicate that population aging and low fertility aggravate the negative impact of health expenditures on economic growth. This study provides reliable analysis and can be used by developing countries to maintain a long-term sustainable social security system.

Indexed as

Developing CountriesEconomic DevelopmentHealth ExpendituresBirth RateEmpirical ResearchHumansModels, EconomicModels, StatisticalPublic PolicyDeveloping countriesEconomic growthHealth expenditureHuman capitalPanel threshold model

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.