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Socio-Economics of Water Resources Management
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Socio-Economics of Water Resources Management

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 October 2024 | Viewed by 5865

Special Issue Editors

Dr. Qingming Wang

E-Mail Website
Guest Editor
China Institute of Water Resources and Hydropower Research, Beijing, China
Interests: water resources management; eco-hydrological process; analysis of water resources evolution; hydrological process simulation
Prof. Dr. Yong Zhao

E-Mail Website
Guest Editor
China Institute of Water Resources and Hydropower Research, Beijing, China
Interests: climate change; water cycle simulation; water–energy–food nexus; water allocation
Special Issues, Collections and Topics in MDPI journals
Dr. Bing Zhang

E-Mail Website
Guest Editor
Key Laboratory of Water Resource and Environment, Tianjin Normal University, Tianjin, China
Interests: groundwater resource; ecological water supplement; surface water–groundwater interaction; water quality; isotopic hydrology
Dr. Jing Zhao

E-Mail Website
Guest Editor
College of Resource and Environment, North China University of Water Resources and Electric Power, Zhengzhou, China
Interests: water pricing policy; water-saving potential; hydrologic cycle; input-output analysis; coordinated regulation of carbon and water; water resource allocation

Special Issue Information

Dear Colleagues,

Water is one of the most important resources to support economic and social development. Irrational development and utilization of water resources lead to a series of problems, such as water shortage, water environmental pollution, water ecological damage and frequent water disasters, which in turn restrict economic and social development. How to manage and make good use of water resources is a hot scientific problem at present. Different from hydrology research, the essence of water resources science is to rationally allocate water resource attributes from the perspective of human beings to meet the needs of economic and social development. Therefore, it is necessary to deeply study the theories and methods of water resources management from the perspective of social economics. These problems, including the driving mechanism of water cycle in the economy and society, the regulation mechanism of water price in different industries, the legal basis and implementation path of water rights trading, the standard and calculation basis of water ecological compensation, are still troubling the government. Many water-related policies are difficult to popularize and implement, and researchers need to work together to explore. With the development of big data and big model analysis technology such as ChatGPT, more and more extensive water resources data and economic and social data can be deeply integrated. It is expected that more interesting rules will be discovered soon. This is an exciting start, let's push forward together. Social economics in water resources management is a very broad topic, and the research direction is not limited to the content mentioned above. Scholars from all over the world are welcome to contribute to the progress of Special Issue entitled “Socio-Economics of Water Resources Management”.

Dr. Qingming Wang
Prof. Dr. Yong Zhao
Dr. Bing Zhang
Dr. Jing Zhao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

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 resources management
  • water resources and socio-economics
  • water rights transaction
  • social water cycle
  • water use efficiency
  • water resources and big data
  • water-saving potential
  • input-output analysis
  • water resources cge model
  • carbon-water relationship
  • ecological water supplement

Published Papers (6 papers)

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Research

13 pages, 3570 KiB  
Article
Study on the Influence of Vegetation Restoration on Evapotranspiration in Mountainous Areas of the Luan River Basin
by Ziyuan Zhang, Lichao Wang, Peng Dou, Qingming Wang and Jiansheng Cao
Water 2024, 16(8), 1143; https://doi.org/10.3390/w16081143 - 18 Apr 2024
Viewed by 432
Abstract
The study employed the PML (Penman–Monteith–Leuning) model to simulate the evolution law of long-sequence evapotranspiration in the mountainous region of the Luan River basin. Additionally, this study conducted a quantitative analysis to determine the effect of restoration on evapotranspiration water consumption. From 1981 [...] Read more.
The study employed the PML (Penman–Monteith–Leuning) model to simulate the evolution law of long-sequence evapotranspiration in the mountainous region of the Luan River basin. Additionally, this study conducted a quantitative analysis to determine the effect of restoration on evapotranspiration water consumption. From 1981 to 2020, the results indicated that there were significantly less fluctuations in precipitation in the mountainous region of the Luan River basin than there were fluctuations in discharge. The restoration of vegetation in the mountainous region of the Luan River basin caused a mean annual growth rate of 3.47 mm in evapotranspiration. A linear positive correlation was observed between the evapotranspiration and vegetation NDVIs (normalized difference vegetation indexes) in mountainous regions. Specifically, for each 0.01 increase in the NDVI, there was an approximate 8.3 mm increase in evapotranspiration. When comparing the time periods of 1995–2001 and 2002–2020, it was observed that evapotranspiration increased by 70 mm. Furthermore, the evapotranspiration rate in the southeastern region exhibits significant variation, peaking at over 50 mm per year. In contrast, the northwest experiences variations of less than 10 mm per year. A quantitative analysis of the relationship between the evolution of mountain evapotranspiration and the response law of vegetation restoration is presented in this study; this information can be used as a guide when developing practical vegetation restoration strategies. Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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15 pages, 8527 KiB  
Article
Study on the Spatial–Temporal Variations and Driving Factors of Water Yield in the Yiluo River Basin
by Yongxiao Cao, Xianglong Zhang, Huaibin Wei, Li Pan and Yanwei Sun
Water 2024, 16(2), 223; https://doi.org/10.3390/w16020223 - 09 Jan 2024
Viewed by 853
Abstract
Water yield (WY) is an significant characteristic that reflects ecosystem services. In order to realize high-quality development, it is vital to explore the spatial and temporal (ST) distribution of WY and its driving factors in the Yiluo River Basin (YLRB) to uphold ecological [...] Read more.
Water yield (WY) is an significant characteristic that reflects ecosystem services. In order to realize high-quality development, it is vital to explore the spatial and temporal (ST) distribution of WY and its driving factors in the Yiluo River Basin (YLRB) to uphold ecological stability and advance long-term sustainable growth. This paper quantifies WY in the YLRB from 2010 to 2020 using the WY model in the InVEST toolkit. Exploring ST characteristics and driving factors at both the raster and sub-watershed levels, results indicate that the overall WY (average water depth) of the YLRB in 2010, 2015, and 2020 was 26.93 × 108 m3 (136.50 mm), 22.86 × 108 m3 (113.38 mm), and 26.81 × 108 m3 (137.61 mm), respectively. The spatial pattern of watershed WY remains consistent across various periods, illustrating spatial variation in the depth of low WY in the central and western regions and high WY depth in the eastern region. At the sub-watershed level, the Luo River (LR) Basin has the highest contribution (69%) to the WY of the entire basin and served as the principal WY region of the YLRB. Conversely, the Yiluo River section, formed after the confluence of the Yi River (YR) and the LR, has the lowest WY contribution (7%) in the entire watershed. Distinct variations exist in the WY capacity among various land use (LU) types. Construction land (CSL) and unused land (UL) exhibited the highest WY capacity (315.16 mm and 241.47 mm), whereas water area (WA) had the lowest (0.01 mm). WY was significantly positively correlated with slope, precipitation, actual evapotranspiration, percentage of cultivated land, and NDVI. It showed a significant negative correlation with altitude, WA, and population density. This study helps promote the research and development of watershed ecosystem services. It also provides scientific support resolving conflicts between watershed protection and economic development and promoting harmony in the YLRB. Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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14 pages, 6003 KiB  
Article
Estimation of Pollutant Load in Typical Drainage Ditches of Ningxia Yellow River Diversion Irrigation Area Based on LOADEST Statistical Model
by Xiuxia Ma, Wenfa Peng, Bingwei Tong, Taiyun Li, Le Wang, Bin Du and Chaochao Li
Water 2024, 16(1), 120; https://doi.org/10.3390/w16010120 - 28 Dec 2023
Viewed by 766
Abstract
To comprehensively comprehend the spatiotemporal variations in pollution load within the Sixth Drainage Ditch of the Ningxia Yellow River Diversion Irrigation Area, we employed the LOADEST model. We utilized daily flow data and concentrations of ammonia nitrogen (NH3-N), nitrate nitrogen (NO [...] Read more.
To comprehensively comprehend the spatiotemporal variations in pollution load within the Sixth Drainage Ditch of the Ningxia Yellow River Diversion Irrigation Area, we employed the LOADEST model. We utilized daily flow data and concentrations of ammonia nitrogen (NH3-N), nitrate nitrogen (NO2-N), total nitrogen (TN), and total phosphorus (TP) to construct regression equations for the pollutant load at four distinct monitoring sections of the Sixth Drainage Ditch. The results unveiled an impressive range of correlation coefficients (R2) for the pollution load regression equations at the four monitoring sections, ranging from 72.42% to 94.4%. This indicates a strong fit for the pollution load regression equations, rendering them suitable for estimating the pollution load of the Sixth Drainage Ditch. Furthermore, the changing patterns of various pollutants in the same monitoring section exhibit a remarkable level of consistency. In each case, they initially experience an upward trajectory followed by a subsequent decrease. Notably, the total nitrogen (TN) load in the drainage area exceeds that of the total phosphorus (TP). The spatial distribution patterns of the total nitrogen (TN) and total phosphorus (TP) load within the Sixth Drainage Ditch exhibit a progressive increase from the upstream to downstream areas. Meanwhile, the spatial distribution characteristics of ammonia nitrogen (NH3-N) and nitrate nitrogen (NO2-N) follow a similar pattern of an initial increase followed by a decrease. Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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26 pages, 5109 KiB  
Article
The Driving Effects of the Total Water Use Evolution in China from 1965 to 2019
by Sicong Wang, Changhai Qin and Yuping Han
Water 2023, 15(20), 3572; https://doi.org/10.3390/w15203572 - 12 Oct 2023
Viewed by 787
Abstract
To understand the influence mechanism of the total water use evolution in a certain region more deeply, it is necessary to accurately identify the driving effects of the total water use evolution, and quantitatively analyze the influence of the driving effects on the [...] Read more.
To understand the influence mechanism of the total water use evolution in a certain region more deeply, it is necessary to accurately identify the driving effects of the total water use evolution, and quantitatively analyze the influence of the driving effects on the total water use evolution. In this research, we studied the driving effects of the total water use evolution in China from the perspective of multi-year long time-series in the whole country for the first time. Through the logarithmic mean Divisia index (LMDI) decomposition method, we constructed an LMDI decomposition model for the regional total water use evolution, and decomposed the total water use evolution in China and its five stages from 1965 to 2019 into the water use intensity effect (WUIE), sector proportion effect (SPE), per capita total economy effect (PCTEE), and total population effect (TPE). We also considered the driving effects of the total water use evolution when the population or economic proportion changed in the six major districts in China for the first time. Based on the LMDI decomposition method, we separately added the district population proportion variable and the district economic proportion variable to contrast a logarithmic mean Disivia index-population (LMDI-P) decomposition model and a logarithmic mean Divisia index-economic (LMDI-E) decomposition model for the regional total water use evolution. Compared with the LMDI decomposition model, the district population proportion effect (DPPE) and the district economic proportion effect (DEPE) were separately added. We calculated the value and proportion of the driving effects of the total water use evolution in China and analyzed their influence mechanisms. Our findings provide better decision-making reference for water resource planning and management in China. The results show the following: (1) According to the overall situation from 1965 to 2019, the prohibitive role played by the PCTEE (total 22,263.79 × 108 m3) and the TPE (total 2945.38 × 108 m3) with respect to the total water use increasing in China offset the inhibitive role played by the WUIE (total −16,094.31 × 108 m3) and the SPE (total −5930.02 × 108 m3) with respect to the total water use increasing in China; (2) According to the overall situation from 1965 to 2019, both the DPPE and DEPE had heterogeneity in the total water use evolution in the six major districts in China. The DPPE played a prohibitive role in the three population inflow districts (Southeast China, Central South China, and Northwest China) with respect to the total water use increasing (total 291.09 × 108 m3), and an inhibitive role in the other three population outflow districts (North China, Central South China, and Southwest China) with respect to the total water use increasing (total −207.78 × 108 m3). The DEPE played a prohibitive role in the three economically developed districts (North China, Southeast China, and Central South China) with respect to the total water use increasing (total 428.26 × 108 m3), and an inhibitive role in the other three economically underdeveloped districts (Northeast China, Southwest China, and Northwest China) with respect to the total water use increasing (total −477.74 × 108 m3). Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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16 pages, 4009 KiB  
Article
Conceptualization of Farmers’ Water Conservation Intention and Behavior through the Lens of Economic Man Worldview: Application of Structural Equation Modeling
by Naser Valizadeh, Masoud Bijani, Negin Fallah Haghighi, Dariush Hayati, Khadijeh Bazrafkan and Hossein Azadi
Water 2023, 15(18), 3199; https://doi.org/10.3390/w15183199 - 08 Sep 2023
Cited by 2 | Viewed by 1090
Abstract
Although different worldviews have been presented to analyze the conservation behaviors of farmers, limited empirical evidence exists for the use of the economic man worldview to analyze farmers’ water conservation behaviors (WCBs). Therefore, the conceptualization of farmers’ water conservation behavioral intentions through the [...] Read more.
Although different worldviews have been presented to analyze the conservation behaviors of farmers, limited empirical evidence exists for the use of the economic man worldview to analyze farmers’ water conservation behaviors (WCBs). Therefore, the conceptualization of farmers’ water conservation behavioral intentions through the lens of this worldview was the primary objective of this survey. To this aim, the extended planned behavior theory (PBT), which is the main theory of the economic man worldview, was employed. The study population was 36183 Iranian farmers, 380 of whom were interviewed in-person in the form a cross-sectional survey research design. An estimation of sample size was performed via the Krejcie and Morgan Table. Moreover, the distribution of the sample size was carried out by a multi-stage random sampling method. Validity and reliability, which are undeniable features of questionnaires in social and psychological sciences, were examined using different quantitative and qualitative indices. The obtained results indicated that the effect of intention towards water conservation (IWC) on WCB was positive and significant. Therefore, this research supports the main assumption of the PBT and the economic man worldview. However, according to the results, the power of IWC’s effect on WCB is not very significant. In addition, the variance explanation of WCB as the fundamental dependent variable is not very high. It can be mentioned that the economic man worldview has a relative and moderate power to analyze the WCBs of farmers. Hence, it is suggested that some variables, including moral norms, environmental concerns, and environmental values, are used to develop and increase the explanatory power of the PBT in future studies. This study is the first study of the applicability of the economic man approach in analyzing farmers’ WCBs. It could be used to open a new research window for future and interested researchers to conduct successful interventions in the field of water conservation. Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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17 pages, 1615 KiB  
Article
Novel Water Pricing Model for Water Network Projects: A Case Study of Jiaodong Water Diversion Project in China
by Xin Huang, Changshun Liu, Geng Niu, Chunling Zhang and Yang Li
Water 2023, 15(17), 3062; https://doi.org/10.3390/w15173062 - 27 Aug 2023
Viewed by 965
Abstract
The uneven distribution of water resources in time and space restricts the development of society, which is a universal problem facing the world. To improve the ability to regulate water resources in water diversion projects and alleviate the contradiction between water resources and [...] Read more.
The uneven distribution of water resources in time and space restricts the development of society, which is a universal problem facing the world. To improve the ability to regulate water resources in water diversion projects and alleviate the contradiction between water resources and social development, China has decided to build water network projects (WNPs). A WNP is an integrated water supply system that includes multiple water sources and network water supply lines and integrates the functions of water supply, water delivery, and optimal allocation of water resources into a system that can supply water to many users. An appropriate water pricing mechanism is the key to ensuring the sustainable operation of water network projects. This paper presents a comprehensive water pricing model (WPM) for WNPs. The purpose of this model is to unify the water price measurement standard of WNPs and lay the foundation for water price marketization in the future. By applying the model to the Jiaodong WNP, it is found that the model is expected to improve the unbalanced use of water sources and the large difference in prices at water supply points (WSPs) in the project. This study not only provides a theoretical basis for water pricing reform but also has great potential to improve the efficiency of water resource use. Full article
(This article belongs to the Special Issue Socio-Economics of Water Resources Management)
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