Evidence map›Paper›PMID 40629222›Full record

ArticleHealth economics review2025

The impact of health on growth: from the perspective of economic structure evolution.

Yujie Cui, Gordon Liu, Yao Yao

Abstract read
In one paragraph

Article in Health economics review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Yujie CuiShanghai Jiao Tong University School of Medicine, Shanghai, China.
Gordon LiuInstitute for Global Health and Development, Peking University, Beijing, China.
Yao YaoShanghai Jiao Tong University School of Medicine, Shanghai, China. yaoyao6369@sjtu.edu.cn.

Funding

National Social Science Fund of China 20BGL264
6 · The paper itself

Abstract

backgroundThe impact of population health on economic growth has been widely discussed, but the extent of its influence remains inconclusive. One possible reason is the heterogeneity of health's impact on economic growth across different stages of economic development. This paper, from the perspective of changes in economic structure, attempts to study the long-term and marginal effects of health on economic growth.

methodsBy deriving from the Cobb-Douglas production function, this study constructs an empirical model to analyze the impact of health on economic growth, considering economic structure. Instrumental variable methods are employed to address potential endogeneity issues. Panel data at the country level are constructed using data from the World Bank database, Penn World Tables, and the World Health Organization, covering the period from 1980 to 2015.

resultsIt reveals a positive long-term relationship between health and economic growth, particularly in post-demographic transition nations. The marginal impact of health on economic growth varies depending on the economic structure, the economic benefit of health promotion is notably pronounced in countries with a larger share of the primary sector. As countries reach higher levels of economic development, the marginal effect of health tends to decrease. Furthermore, health changes affect labor force distribution across industries, with varying impacts.

conclusionsThe findings suggest that developing nations, having undergone demographic transition, experience greater returns on health investments compared to developed counterparts. This research offers novel insights into the diverse effects of health on economic growth, emphasizing the importance of economic structure in understanding these dynamics.

Indexed as

Demographic transitionEconomic growthEconomic structureHealth

Identifiers

PMID40629222
PMCPMC12239345

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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.