Evidence map›Paper›PMID 41080876›Full record

ArticleFrontiers in public health2025

Exploring the impact of urban expansion on urban green land use efficiency: a case study of Chengdu-Chongqing urban agglomeration.

Lanyue Zhang, Cuiping Zhang, Chen Gao, Chen Wang

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.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lanyue ZhangSchool of Digital Economics, Sichuan University Jinjiang College, Meishan, Sichuan, China.
Cuiping ZhangDepartment of Economics and Management, Weifang Engineering Vocational College, Qingzhou, China.
Chen GaoSchool of Finance, Hunan University of Technology and Business, Changsha, China.
Chen WangSchool of Economics, Beijing Technology and Business University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Efficient utilization of limited land resources to maximize economic, social, and ecological benefits is critical for enhancing urban green land use efficiency and achieving sustainable urban development. Methods: This research integrates multi-source socioeconomic data to analyze 16 cities within the Chengdu-Chongqing urban agglomeration from 2006 to 2022. Employing exploratory spatial data analysis, standard deviation ellipse modeling, bidirectional fixed-effects regression, and geographically and temporally weighted regression, we examine the spatial-temporal evolution of urban green land use efficiency and the impact of urban expansion on urban green land use efficiency. Results: The result shows that: (1) urban green land use efficiency exhibits a significant upward trend, reflecting a core-periphery structural evolution. (2) The spatial spillover effect of urban green land use efficiency remains consistently negative, particularly pronounced in the core cities of Chengdu and Chongqing. (3) Urban expansion negatively affects urban green land use efficiency, with a coefficient estimate of -0.185 in the fixed-effects model, and the GTWR model further reveals a deepening adverse impact from 2006 to 2022. Discussion: These findings underscore the necessity of adopting "smart growth" strategies and provide policymakers with evidence-based insights for optimizing urban spatial planning and intercity collaboration.

Indexed as

City PlanningConservation of Natural ResourcesUrbanizationChinaCitiesHumansSocioeconomic FactorsESDAGTWRspatial–temporal heterogeneityurban expansionurban green land use efficiency

Identifiers

PMID41080876
PMCPMC12507845

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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.