Evidence map›Paper›PMID 40910067›Full record

ArticleFrontiers in public health2025

How do low-carbon city policies shape older adults health? Evidence from environmental and mobility pathways in China.

Xiaonan Yue, Yudi Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xiaonan YueCollege of Foreign Languages and Cultures, Chengdu University of Technology, Chengdu, China.
Yudi LiGraduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: As environmental pollution and population aging become increasingly severe, it is especially important to assess the health co-benefits of climate-related urban policies. This study aims to examine the impact of China's Low-Carbon City Pilot Program (LCCP) on the health of the older adults. It focuses on potential mechanisms such as improvements in environmental quality and increases in non-motorized transportation. Methods: This study uses a multi-period Difference-in-Differences (DID) approach to evaluate the health effects of the LCCP. The analysis draws on nationally representative panel data from the China Family Panel Studies (CFPS) between 2012 and 2018. The sample is restricted to individuals aged 60 and above. The main outcome variable is self-rated health, with frequency of medical visits used as a supplementary indicator. The treatment variable is defined based on the official list of low-carbon pilot cities and their launch years. The analysis controls for various individual, intergenerational, and household-level characteristics. To explore possible mechanisms, the study conducts mediation analysis focusing on perceived environmental quality and non-motorized travel behavior. It also includes commuting distance and commuting time as moderating variables to assess the limiting effect of spatial accessibility. Results: The results show that the LCCP significantly improved the health of older adults. The DID estimates indicate a positive policy effect that remains robust across alternative model specifications and when using other outcome variables such as medical visit frequency. The mediation analysis suggests that improvements in environmental quality-especially in subjective environmental perceptions-and increases in non-motorized travel are key channels for health improvement. In addition, the health benefits of the policy are more pronounced among older adult individuals who face longer commuting distances and times. Subgroup analysis further reveals heterogeneous effects: the policy yields greater health improvements for males, rural residents, and the younger older adults (aged 60-69). Overall, these findings support the proposed hypotheses and highlight both the direct and indirect health benefits of China's low-carbon urban transition. Conclusion: This study concludes that the LCCP significantly enhanced older adults health by improving environmental quality and travel behavior. The health effects are stronger for groups with better spatial accessibility and are partially realized through household perceptions and increased non-motorized travel. The results emphasize the importance of integrating environmental policies with age-friendly planning in urban governance to promote healthy aging.

Indexed as

CarbonHealth StatusTransportationAgedAged, 80 and overChinaCitiesFemaleHumansMaleMiddle AgedCarbonenvironmental qualitylow carbon city pilot policynon-motorized travelolder adults healthspatial accessibility

Identifiers

PMID40910067
PMCPMC12405225

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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.