ArticleAmerican journal of men's health
Do Environmental Degradation, ICT, Health Expenditure, and Institutional Quality Affect Life Expectancy?
Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- The health production function in South Asia: panel evidence on education, health expenditure, governance, and longevity.Frontiers in public health · 2026Article
- Impact of air pollution on life expectancy: the role of digitalization, urbanization and institutional quality in BRICS economies.Frontiers in public health · 2026Article
- Impact of Artificial Intelligence, Health Expenditure and Digital Financial Inclusion on Life Expectancy.American journal of men's healthArticle
- A Comparative Analysis of the Determinants of Male, Female, and Total Life Expectancy in United States and China.American journal of men's healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Life expectancy in China has been influenced by several environmental, technological, and institutional factors over the past decades. Air pollution, particularly CO2 emissions from rapid industrialization and urbanization, has been a major concern, contributing to respiratory and cardiovascular diseases that reduce population health. Meanwhile, the expansion of information and communication technology (ICT) has improved access to health services and medical information, supporting better health outcomes. Increased health expenditure has enhanced health care infrastructure, service delivery, and preventive programs, further promoting longevity. Strong institutional quality ensures effective policy implementation, transparency, and equitable access to health care, which collectively support higher life expectancy in China. Therefore, this study examines the impact of air pollution, ICT, health expenditure, and institutional quality on life expectancy in China. This study first examined the stationarity properties of the variables using the Augmented Dickey-Fuller and Phillips-Perron unit root tests and then tested for cointegration to identify the existence of long-run relationships. After confirming cointegration, the autoregressive distributed lag approach was used to estimate both short-run adjustments and long-run effects. To ensure the robustness of the long-run results, Fully Modified Ordinary Least Squares was applied as an additional estimation technique to check the stability and consistency of the estimated coefficients. The finding shows that CO2 emissions has negative effect on life expectancy, while ICT, health expenditure and institutional quality have positive effect on life expectancy. To enhance life expectancy in China, the government should reduce CO
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Registered trials
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.