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Water Resources, Economic Development and Environment Carrying Capacity

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 571

Special Issue Editors


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Guest Editor
College of Economics and Management, China Three Gorges University, Yichang, China
Interests: water pollution assessment; water resources management; water determining production; water-energy-food nexus; social hydrology
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Guest Editor
Department of Civil & Mineral Engineering, Faculty of Applied Science and Engineering, University of Toronto, 35 St. George St., Toronto, ON M5S 1A4, Canada
Interests: building science/engineering; building materials/LCA/embodied carbon/IAQ (indoor air quality); game theory; water management
Special Issues, Collections and Topics in MDPI journals
Business School, Hohai University, Nanjing, China
Interests: water rights; water resources management; water use efficiency

Special Issue Information

Dear Colleagues,

As an important factor in human social and economic activities, industrial development is closely related to water use, sewage discharge, and social and economic development; affects regional water resource allocation efficiency and water pollution discharge intensity; and is the fundamental source of water system pressure. The nature of this ecological problem is that the industrial development model is sometimes unsustainable, and due to this, many regions in the world excessively consume their water resources, while simultaneously creating water environment deterioration and water ecological damage to varying degrees. The main crisis regarding water security has changed from insufficient supply to the excessive use of its environmental resource carrying capacity, which is in a state of overload or critical overload in some regions. The environmental carrying capacity of water resources has become an important factor restricting the economic development of many regions around the world.

This Special Issue of the journal Water invites innovative and multidisciplinary scientific contributions that explore the adaptive development mechanism between the environmental carrying capacity of water resources and economic development while also examining its quantitative and qualitative management dimensions.

Dr. Yang Kong
Dr. Dagmawi Mulugeta Degefu
Dr. Lina Zhang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water resource management
  • environmental assessment
  • carrying capacity
  • industry development
  • economic growth

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Published Papers (2 papers)

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Research

26 pages, 3530 KiB  
Article
Comprehensive Assessment of Water Resource Carrying Capacity Based on Improved Matter–Element Extension Modeling
by Juqin Shen, Yong Nie, Xin Huang and Meijing Ma
Water 2025, 17(8), 1197; https://doi.org/10.3390/w17081197 - 16 Apr 2025
Viewed by 99
Abstract
The evaluation of water resource carrying capacity (WRCC) is crucial for guiding regional water management. This study established a WRCC evaluation index system and standards for the middle and lower Yangtze River, covering four subsystems: water resources, and social, economic, and ecological dimensions. [...] Read more.
The evaluation of water resource carrying capacity (WRCC) is crucial for guiding regional water management. This study established a WRCC evaluation index system and standards for the middle and lower Yangtze River, covering four subsystems: water resources, and social, economic, and ecological dimensions. The study improved the matter–element extension model by introducing triangular fuzzy numbers. The enhanced model was then used to assess the WRCC of seven provinces in the middle and lower Yangtze (2015–2023). Furthermore, GIS was used to examine the spatiotemporal variations and driving factors of WRCC. The main conclusions are as follows: (1) from 2015 to 2023, the evaluated level of WRCC in the Yangtze River’s middle and lower reaches remained stable and improved overall. Among them, the WRCC of Shanghai rose most significantly, from level III to level I. Zhejiang’s WRCC remained stable at level II, while Hubei and Hunan remained stable at level III, but with a trend toward improvement. Jiangsu’s WRCC fluctuated significantly. (2) The evaluation values of the subsystems in each region show a certain level of volatility. The water resource subsystem remained relatively stable in most regions, the social subsystem showed some variability, and both the economic and ecological subsystems developed well, showing positive effects in economic development and ecological protection in various regions. (3) The water resource subsystem had the greatest influence on WRCC. Per capita water resources, the urbanization rate, the greening coverage rate in built-up areas, and per capita GDP have the most significant impact on the WRCC in the Yangtze River’s middle and lower reaches. Full article
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19 pages, 695 KiB  
Article
A Study on the Influencing Factors and Multiple Driving Paths of Social Integration of Reservoir Resettlers: An Empirical Analysis Based on SEM and fsQCA
by Lili Diao, Jiachuan Chen, Jihao Chen and Zhaoxian Su
Water 2025, 17(7), 1073; https://doi.org/10.3390/w17071073 - 3 Apr 2025
Viewed by 313
Abstract
This study systematically analyzes the factors influencing the social integration of reservoir resettlers, aiming to provide a theoretical basis and policy recommendations for enhancing their social integration. Grounded in social capital theory and social cognitive theory, the influencing factors are categorized into five [...] Read more.
This study systematically analyzes the factors influencing the social integration of reservoir resettlers, aiming to provide a theoretical basis and policy recommendations for enhancing their social integration. Grounded in social capital theory and social cognitive theory, the influencing factors are categorized into five dimensions: social norms, social trust, social networks, self-efficacy, and outcome expectations. Structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are employed to analyze field survey data and uncover the mechanisms through which these factors influence social integration. The results indicate that social norms, social trust, and social networks positively affect resettlers’ self-efficacy and outcome expectations, which, in turn, have a positive impact on their social integration. The fsQCA results further identify five configurations, which are consolidated into three driving types: the internal-external driving path, the proactive integration path, and the capital-enabled path. By integrating the perspectives of social capital and social cognition and employing both SEM and fsQCA methodologies, this study provides valuable insights for policy-making related to the social integration of reservoir resettlers. Full article
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