Evidence map›Paper›PMID 41869627›Full record

ArticleFrontiers in public health2026

Spatial spillovers and nonlinear effects of urban green space on population aging in China.

Xiaoning Zheng, Yujue Wang, Dongmei Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xiaoning ZhengSchool of Economics, Minzu University of China, Beijing, China.
Yujue WangSchool of Management, Universiti Sains Malaysia, Minden, Malaysia.
Dongmei ZhangSchool of Economics, Minzu University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is undergoing the world's most rapid demographic transition, with the pressure of population aging becoming increasingly prominent. As a core component of green infrastructure, urban green spaces are gaining attention for their role in alleviating the pressures of aging. However, existing research has primarily focused on the localized benefits of urban green spaces, with insufficient exploration of their spatial effects. This study employs panel data from 300 prefecture-level cities in China spanning 2001-2023, utilizing spatial Durbin models and threshold regression models to systematically examine the spatial effects of urban green spaces on aging. It further analyzes their significance in regional collaborative governance. Findings reveal that aging exhibits distinct spatial clustering patterns. Urban green spaces not only alleviate local aging pressures by improving environmental quality, promoting physical activity, and enhancing public health, but also generate significant spatial spillover effects that positively influence aging processes in surrounding areas. Threshold analysis further indicates that the impact of urban green spaces on aging exhibits nonlinear characteristics, with their positive effects significantly intensifying once green space coverage reaches a certain critical threshold. This study emphasizes that in today's era of frequent population mobility and deepening regional integration, examining green space policies solely from an intra-urban perspective is insufficient to address aging challenges across administrative boundaries. Recognizing and prioritizing the spatial spillover effects of urban green spaces not only facilitates the establishment of collaborative aging governance systems across cities but also provides theoretical foundations and policy insights for advancing the Healthy China 2030 strategy and achieving balanced regional green development.

Indexed as

AgingEnvironment DesignParks, RecreationalPopulation DynamicsUrban PopulationChinaCitiesHumansagingChinaspatial Durbin modelspatial spillover effectsthreshold regression modelurban green space

Identifiers

PMID41869627
PMCPMC13002414

What OpenQuestion holds

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Registered trials

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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.