AccScience Publishing / AJWEP / Online First / DOI: 10.36922/AJWEP025350271
ORIGINAL RESEARCH ARTICLE

Ecological indicator system construction for water resources and pollution governance in Guangxi (2004–2022) and coupling-coordination assessment

Weidi Zhang1,2†* Lei Wen3† Ruslana Bezuhla4
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1 Department of Environmental Design, Faculty of Design and Art, Shaanxi University of Science and Technology, Xi’an, Shaanxi, China
2 Field of Study Culture and Art, Program Subject Area Design, Kyiv National University of Technologies and Design, Kyiv, Ukraine
3 Department of Animation, College of Creative Design, Guilin Institute of Information Technology, Guilin, Guangxi, China
4 Department of Design, Faculty of Technologies and Business, Kyiv National University of Trade and Economics, Kyiv, Ukraine
†These authors contributed equally to this work.
Received: 25 August 2025 | Revised: 24 September 2025 | Accepted: 20 October 2025 | Published online: 18 November 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Guangxi’s rapid urbanization and rising environmental pressures have made balanced water–ecology governance a core regional policy concern. Using annual data for prefecture-level cities in Guangxi, China, from 2004 to 2022, this study constructs an ecological indicator system encompassing “water resources–pollutants–clean governance” and conducts a comprehensive evaluation with a coupling-coordination diagnosis. Data sources included the Guangxi Statistical Yearbook, the China Environmental Statistical Yearbook, and relevant editions of the Guangxi Statistical Bulletin of National Economic and Social Development. Methodologically, indicators were first standardized via minimum–maximum scaling. Using the driver–pressure–state–impact–response framework, indicators were selected. Objective weights were determined through the criteria importance through the intercriteria correlation method. The technique for order preference by similarity to the ideal solution method was used to compute composite scores for the three subsystems. We then established models for the coupling degree (C) and coupling-coordination degree (D). Across 2004–2022, the D ranged from 0.458 to 0.798, indicating predominantly low-to-moderate coordination with discernible phase fluctuations rather than extreme imbalance. In 2022, the headline metrics were measured at 0.958 for C and 0.798 for D, representing the upper end of the observed coordination level over the sample period. Overall, urban ecological governance in Guangxi remained only partially coordinated during 2004–2022, although with episodic improvements. Policy pathways should prioritize high-weight, high-dispersion dimensions to enhance subsystem matching and raise coordination.

Keywords
Water resources management
Pollution control
Ecological governance
Urban sustainability
Guangxi
Indicator system
Wastewater treatment
Funding
This project was funded by the Humanities and Social Sciences Research Project of the Ministry of Education of China: Research on Cultural Genetics and Contemporary Remodeling of Landscape Formation of Han and Tang Villages (23XJC760003), the Shaanxi Provincial Social Science Foundation Project: Research on Survey Data Mining and Resource Value of Revolutionary Cultural Relics in Shaanxi (2023GM03), and the Shaanxi Provincial Social Science Planning Project: Research on Evaluation Indicator System of Outstanding Popularization Achievements in Social Sciences (2023ZD1825).
Conflict of interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing