ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1596250
Exploring the impact of urban expansion on urban green land use efficiency: a case study of Chengdu-Chongqing urban agglomeration
Provisionally accepted
- 1Jinjiang College, Sichuan University, Meishan, China
- 2Weifang Engineering Vocational College, Weifang, Shandong, China
- 3Hunan University of Technology and Business, Changsha Shi, Hunan Province, China
- 4Central University of Finance and Economics, Beijing, Beijing Municipality, China
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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. 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. 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. 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.
Keywords: Urban expansion, Urban Green Land Use Efficiency, ESDA, GTWR, Spatial-temporal heterogeneity
Received: 19 Mar 2025; Accepted: 28 Aug 2025.
Copyright: © 2025 Zhang, Zhang, Gao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Chunhui Wang, Central University of Finance and Economics, Beijing, 100081, Beijing Municipality, China
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