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ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Social-Ecological Urban Systems
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1565441
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The well-being eco-efficiency (WEE) is a core indicator for assessing the quality of regional ecological environment and the well-being of people' s livelihood. Clarifying its spatial and temporal dynamic evolution and network structure characteristics is crucial for promoting the ecological protection and high-quality development in the entire Yellow River Basin (YRB). Based on the panel data of 99 cities in the YRB from 2010 to 2022, the WEE is measured by introducing the ecological well-being into the evaluation system of eco-efficiency. The spatial-temporal dynamics, disparities, and their origins, as well as the structural attributes of the network, are investigated. The results showed that: First, The WEE in the YRB, upper, middle, and lower reaches have been improved, showing the stage characteristics of "steady growth-fluctuation decline-rapid growth", and technological progress is the main driving force for efficiency growth. Second, the absolute difference of WEE in the whole and middle reaches shows an expanding trend, and the upper and lower reaches show a decreasing trend. The inter-regional differences and hypervariable density are the main sources of spatial differences. Third, the YRB has broken the geographical location restrictions and formed a multi-threaded complex network form. During the sample investigation period, the network scale and network agglomeration have been continuously enhanced, and the small-world network correlation effect is significant. Forth, regarding the small group network characteristics: the upper reaches' WEE has a "wheeled" structure centered on Longnan; the middle reaches' WEE forms a "chain" structure with Yulin, Xi'an, and Ankang as cores; and the lower reaches' WEE exhibits a "dual-core multi-center radial" structure with Heze and Zhengzhou at its core, featuring significant two-way interactions.
Keywords: Yellow River Basin, Well-being eco-efficiency, Dynamic spatiotemporal evolution, network structure characteristics, Small group network characteristics
Received: 24 Jan 2025; Accepted: 08 Apr 2025.
Copyright: © 2025 Wang, Zheng and Liu. 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: Meixia Wang, Xi’an University of Technology, Xi'an, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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