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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1521769</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2025.1521769</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Decoupling analysis of urban water resource utilization and economic development</article-title>
<alt-title alt-title-type="left-running-head">Qianli and Hongyao</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2025.1521769">10.3389/fenvs.2025.1521769</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qianli</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2884846/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hongyao</surname>
<given-names>Sun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Resources and Environmental Engineering</institution>, <institution>East China University of Science and Technology</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Materials and Structural Engineering Department</institution>, <institution>Nanjing Hydraulic Research Institute</institution>, <addr-line>Nanjing</addr-line>, <addr-line>Jiangsu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1591530/overview">Weijun He</ext-link>, China Three Gorges University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/693202/overview">Faisal Mueen Qamer</ext-link>, International Centre for Integrated Mountain Development, Nepal</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3023150/overview">Xiaomeng Wang</ext-link>, The University of Texas Health Science Center at San Antonio, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xu Qianli, <email>qxuaz@connect.ust.hk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1521769</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Qianli and Hongyao.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Qianli and Hongyao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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) and the copyright owner(s) 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.</p>
</license>
</permissions>
<abstract>
<p>The study constructs a decoupling evaluation model, taking Nanjing City as an example. It contributes to a deeper understanding of the sustainable utilization of water resources and the coordination between regional economic development and ecological preservation. In addition, Nanjing&#x2019;s water resource endowment, social background, economic foundation, and ecological environment have unique characteristics and significance. The results show that (1) the water resource ecological footprint tended to gradually decrease and level off. Water consumption in industry and agriculture was relatively high, and there were imbalances in the consumption and distribution of water resources across different social and economic sectors. (2) The carrying capacity of <italic>per capita</italic> water resources in Nanjing presented a gradual upward and downward trend, roughly resembling an &#x201c;<italic>M</italic>&#x201d; shape. (3) The average ecological deficit of <italic>per capita</italic> water resources over the recent 10&#xa0;years was &#x2212;0.53&#xa0;hm<sup>2</sup>/person. The average ecological pressure index was 4.54. Therefore, this suggests significant pressure on water resource utilization and ecological environment protection. (4) The decoupling rate between water resource utilization and economic development has reached approximately 100%, indicating that economic development can help a city reduce its dependence on water resources. However, the relationship between the development of industry and agriculture and water resource utilization was not well coordinated.</p>
</abstract>
<kwd-group>
<kwd>water resources</kwd>
<kwd>water ecological footprint</kwd>
<kwd>economy</kwd>
<kwd>decoupling</kwd>
<kwd>sustainable water resources utilization</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Environmental Economics and Management</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Water is regarded as the foundation of life and the basis of civilization (<xref ref-type="bibr" rid="B10">Kummu et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Su et al., 2024</xref>; <xref ref-type="bibr" rid="B23">Vorosmarty et al., 2000</xref>). With the acceleration of global urbanization, water scarcity has become a critical bottleneck constraining sustainable urban development. According to the <italic>United Nations World Water Development Report</italic>, approximately 40% of the global population faces water scarcity (<xref ref-type="bibr" rid="B22">UNESCO, 2021</xref>), with urban areas being particularly affected. Currently, global water resource utilization exhibits two key characteristics: on one hand, continued growth in water consumption demonstrates a strong coupling relationship with economic development resources (<xref ref-type="bibr" rid="B2">Antonelli and Sartori, 2015</xref>; <xref ref-type="bibr" rid="B17">Peng et al., 2024</xref>); on the other hand, significant disparities in water-use efficiency exist across cities, with some developed cities having preliminarily achieved &#x201c;decoupling&#x201d; between economic growth and water consumption (<xref ref-type="bibr" rid="B1">Ansorge and Stejskalov&#xe1;, 2022</xref>). Compared to rural areas, cities rely more on water resources. It is crucial for a city to realize sustainable economic development with accurate calculation of the current status of water resources and achievement of the decoupling between scientific utilization of water resources and economic development (<xref ref-type="bibr" rid="B13">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Wang et al., 2019</xref>). Current prominent issues in urban water resource utilization include the following: first, the excessive coupling between water use and economic development persists: most cities remain locked in the conventional paradigm where economic growth inevitably drives increased water consumption. Second, significant regional disparities exist: cities across different climatic zones and developmental stages face distinct decoupling challenges, yet tailored solutions remain inadequate. This study aims to systematically analyze the decoupling relationship between urban water resource utilization and economic development, elucidate its underlying mechanisms and spatiotemporal patterns, and provide scientific evidence for formulating differentiated water management strategies to promote urban green and low-carbon development.</p>
<p>Recently, scholars all over the world have studied the relationship between water resources and socio-economic development (<xref ref-type="bibr" rid="B7">Gao et al., 2024</xref>; <xref ref-type="bibr" rid="B16">Omer et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Stoeglehner et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Wang et al., 2019</xref>), mainly focusing on water footprint theory and decoupling elasticity theory. The water footprint theory was first proposed by Canadian ecological economist <xref ref-type="bibr" rid="B26">William (1992)</xref> and enriched by his student <xref ref-type="bibr" rid="B14">Wackenagel and William (1996)</xref> (<xref ref-type="bibr" rid="B27">William, 1996</xref>). It aimed to quantify the utilization of natural resources and the environmental pressure by calculating the dry land and water area of a region.</p>
<p>It is efficient for us to calculate and analyze the utilization of urban water resources and the current situation of water management using the Ecological Footprint Theory of Water Resources, which is one of the important indicators used to evaluate the sustainable development level of a city. Using this theory,<xref ref-type="bibr" rid="B12">Linnan et al. (2008)</xref> identified three key parameters for the calculation model of water resource ecological carrying capacity and water resource ecological footprint, namely, global average water resource yield, global equilibrium factor, and regional yield factor, which expanded the depth and breadth of water footprint theory in practical application.</p>
<p>The decoupling theory is proposed by <xref ref-type="bibr" rid="B15">OECD (2015)</xref>, aiming to reveal the asynchronous process of economic growth and the decrease in resource consumption (<xref ref-type="bibr" rid="B3">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Gong and Guo, 2024</xref>; <xref ref-type="bibr" rid="B9">Gong et al., 2021</xref>). When economic development comes at the cost of resource depletion and environmental pollution, certain measures should be taken to gradually reduce resource consumption and environmental pressure in order to achieve sustainable development. This process is defined as decoupling.</p>
<p>According to the decoupling theory, <xref ref-type="bibr" rid="B21">Tapio (2005)</xref> constructed the elasticity analysis coefficient of the decoupling theory, which was highly effective in the indication of economic development and the elastic process influencing the environment. This theory further discussed the degree of influence between different factors accurately. There are many studies that use decoupling theory. For example, <xref ref-type="bibr" rid="B4">Dai et al. (2019)</xref> constructed a three-dimensional footprint model and measured the use of land natural capital in Shanxi Province over two decades from the product&#x2013;land class&#x2013;region triple scale using the national hectare method in order to analyze its decoupling effect with economic development. <xref ref-type="bibr" rid="B29">Xiong et al. (2020)</xref> investigated the influence of socioeconomic factors on the transformation of water footprint. In addition, the results found that changes in demand structure and water intensity can save water. <xref ref-type="bibr" rid="B30">Zhang et al. (2024)</xref> studied the water trend of footprint historical evolution in the Yangtze River Delta and provided policy recommendations for optimizing water use.</p>
<p>Most of the studies on the relationship between the current utilization of water resources and economic development mainly involve evaluating the relationship between the utilization of water resources and economic development, recording the current status of water resources in specific regions, and balancing economic development and ecological environment protection. The current literature has the following limitations: first, it lacks sufficient dynamic analyses that capture the evolutionary trajectory of decoupling processes. Second, it predominantly focuses on macro-scale assessments, with inadequate attention to city-level dynamics. Finally, the majority of studies are unable to identify the state of economic development in different cities and the diversity in the endowment of water resources, which inevitably results in the inaccuracy of the obtained results of the relationship between the economic development of a single city and the ecological footprint of water resources. Through designating the particular city as the research object, it is convenient to eliminate the heterogeneity between different cities, which means that it can get access to the relationship between water resource utilization and economic growth in a specific region (city). Based on the existing literature, this study constructs a dynamic decoupling analytical framework at the urban scale. By integrating econometric modeling approaches, the article systematically investigate the driving mechanisms of water resource decoupling, thereby providing scientific evidence for sustainable urban development.</p>
<p>Unlike the &#x201c;engineering water shortage&#x201d; in canyon areas and the &#x201c;resource-based water shortage&#x201d; in the most northern part of China, Nanjing, located in the lower reaches of the Yangtze River, faces serious pressure on <italic>per capita</italic> water resources due to rapid economic development and population growth. Although it has abundant water resources from the Yangtze River and Qinhuai River, Nanjing is one of the &#x201c;quality-based water shortage&#x201d; cities. Thus, based on the historical water resource data in Nanjing, this article calculates the average water consumption and ecological footprint to describe the trend of the ecological footprint of water resources. Furthermore, it is meant to provide the local government with the support of data to solve the problem of coordination between urban water resource utilization and economic development.</p>
</sec>
<sec id="s2">
<title>2 Data and methods</title>
<sec id="s2-1">
<title>2.1 Data sources and definitions</title>
<p>This article tracks and statistically studies the use of water resources and the economic growth in the recent 10&#xa0;years in Nanjing. The data used include the total water resources of Nanjing from 2013 to 2022, water consumption of different types of water, and economic indicators (a total of three first-level indicators and 11 second-level indicators, which are derived from the <italic>Nanjing Statistical Yearbook</italic>
<xref ref-type="fn" rid="fn1">
<sup>1</sup>
</xref> and <italic>Nanjing Water Resources Bulletin</italic>
<xref ref-type="fn" rid="fn2">
<sup>2</sup>
</xref> from 2013 to 2022). In the calculation of the water resource footprint, water used in agriculture, forestry, animal husbandry, and fishery (primary industry) refers to the water resources used for various needs, such as farmland irrigation, forestry irrigation, livestock breeding, and sanitation. It is represented by agricultural water consumption as reported in the Water Resources Bulletin. In the <italic>Nanjing Water Resources Bulletin</italic> from 2013 to 2016, the water used in agriculture and the water used in the forestry and fishery industries are listed separately. The former is almost six times greater than the latter. However, in this article, both are collectively defined as agricultural water. Water used in the industry refers to various types of water consumed in industrial production processes. This article directly quotes the total amount of industrial water consumption from the <italic>Nanjing Water Resources Bulletin</italic>. Ecological water consumption is represented by the water consumption of the ecological environment in the <italic>Water Resources Bulletin</italic>. Domestic water consumption includes water for living in both urban and rural areas. This article summarizes the data on the consumption of urban public domestic water and residential domestic water in <italic>the Water Resources Bulletin</italic>. Population and socio-economic development are defined as relevant data such as the gross domestic product of Nanjing, agricultural (primary industry) output value, industrial output value, and the population of year-end residents in Nanjing. According to WWF2002 (<italic>World Wide Fund for Nature Earth Report 2002</italic>), <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the factor of global water equalization, taking a value of 5.19 (dimensionless) (<xref ref-type="bibr" rid="B11">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Sun and Zhang, 2017</xref>). &#x3c8; is the factor of water resource production, a region-specific data standardized by prior research. According to the research of <xref ref-type="bibr" rid="B12">Linnan et al. (2008)</xref>, Nanjing city&#x2019;s &#x3c8; is 1.02 (dimensionless). p<sub>w</sub> is the average production capacity of global water resources, taking a value of 3140&#xa0;m<sup>3</sup> hm<sup>&#x2212;2</sup> (<xref ref-type="bibr" rid="B11">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Wackernagel et al., 2004</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Ecological footprint of water resources</title>
<p>The ecological footprint of water resources refers to the metabolic intensity of water resources in an area. It includes not only the consumption of water resources by human beings in daily life and production but also the maintenance of the natural environment. The calculation formula is provided in <xref ref-type="disp-formula" rid="e1">Equation 1</xref>:<disp-formula id="e1">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>f</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>N</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>W</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Here, <inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the ecological footprint of water resources. <inline-formula id="inf3">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>f</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the <italic>per capita</italic> ecological footprint of water resources (hm<sup>2</sup>/person). N is the number of the resident population at the end of the year. <inline-formula id="inf4">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the global equilibrium factor of water resources. W is the regional water consumption (m<sup>3</sup>). <inline-formula id="inf5">
<mml:math id="m6">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the average capacity of global production of water resources.</p>
</sec>
<sec id="s2-3">
<title>2.3 Calculation and evaluation model for the sustainable development of water resources</title>
<sec id="s2-3-1">
<title>2.3.1 Per capita ecological carrying capacity model</title>
<p>The ecological footprint theory suggests that the ecological carrying capacity of water resources reflects the ability of these resources to support the healthy development of the regional ecosystem and economic system in the region under current management and technological conditions. It has natural, spatial, and social attributes. It is necessary to comprehensively consider the current situation of the ecological environment and the water resources needed for social production, ecological production, and life (<xref ref-type="bibr" rid="B7">Gao et al., 2024</xref>). The formula is provided in <xref ref-type="disp-formula" rid="e2">Equation 2</xref>:<disp-formula id="e2">
<mml:math id="m7">
<mml:mrow>
<mml:msub>
<mml:mtext>ec</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>0.4</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mi mathvariant="normal">&#x3c8;</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">&#x3b3;</mml:mi>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">Q</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">P</mml:mi>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
<mml:mi mathvariant="normal">N</mml:mi>
</mml:mfrac>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>Here, <inline-formula id="inf6">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mtext>ec</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> refers to the <italic>per capita</italic> ecological carrying capacity (hm<sup>2</sup>/person). According to the research of <xref ref-type="bibr" rid="B12">Linnan et al. (2008)</xref>, it is identified that 60% of the water resources in a certain region are usually used to maintain the ecosystem, and 40% are used to meet the development needs of human society. Therefore, the coefficient is multiplied by 0.4. Q indicates the total amount of regional water resources in the study area.</p>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Index of water resource ecological stress and the <italic>per capita</italic> ecological surplus/deficit of water resources</title>
<p>The water resource ecological stress index refers to the relative pressure intensity of the socio-economic system on regional water resources, reflecting the scarcity of water resources. Moreover, it quantifies the dependence of human production on water resources. The larger it is, the more safety issues in water resource utilization there will be. The <italic>per capita</italic> ecological surplus/deficit of water resources is an indicator that quantitatively reflects the natural capital relationship between human and water systems. It is also the result of comparing the human load and ecological capacity of the region, explaining the sustainability level laterally. The formulas are provided in <xref ref-type="disp-formula" rid="e3">Equations 3</xref>, <xref ref-type="disp-formula" rid="e4">4</xref>:<disp-formula id="e3">
<mml:math id="m9">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">s</mml:mi>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mtext>ef</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mtext>ec</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mtext>&#x2009;</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
<disp-formula id="e4">
<mml:math id="m10">
<mml:mrow>
<mml:msub>
<mml:mtext>eb</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mtext>ec</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>ef</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>When <inline-formula id="inf7">
<mml:math id="m11">
<mml:mrow>
<mml:msub>
<mml:mtext>eb</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 0, <inline-formula id="inf8">
<mml:math id="m12">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">s</mml:mi>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 1. Here, the water resource ecology is roughly balanced. If <inline-formula id="inf9">
<mml:math id="m13">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>eb</mml:mtext>
</mml:mrow>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e;0 (<inline-formula id="inf10">
<mml:math id="m14">
<mml:mrow>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c;1), it indicates that the water resources in the region are sufficient to support its development of economy, environment, and society. Moreover, it is believed that we can further optimize the use of water resources. However, if <inline-formula id="inf11">
<mml:math id="m15">
<mml:mrow>
<mml:msub>
<mml:mtext>eb</mml:mtext>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c;0 (<inline-formula id="inf12">
<mml:math id="m16">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">s</mml:mi>
<mml:mi mathvariant="normal">w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e;1), water resources are in a state of ecological deficit, representing that the water resource ecology in the region has been damaged and the water resources are insufficient to support the sustainable development of the regional economy.</p>
</sec>
</sec>
<sec id="s2-4">
<title>2.4 Decoupling evaluation model of water resource ecological footprint and economic development</title>
<p>The Tapio decoupling index (<xref ref-type="bibr" rid="B6">Fu et al., 2024</xref>; <xref ref-type="bibr" rid="B28">Wu et al., 2019</xref>) is a ratio that compares the rate of change between water environmental pressure and economic drivers. It is used to analyze the relationship between the ecological footprint of water resources and economic development, ultimately determining their decoupling status. Based on previous research, the formula is provided in <xref ref-type="disp-formula" rid="e5">Equation 5</xref>:<disp-formula id="e5">
<mml:math id="m17">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:msub>
<mml:mi>w</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:msub>
<mml:mi>w</mml:mi>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:msub>
<mml:mi>w</mml:mi>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Here, T is the decoupling index between the ecological footprint of regional water resources and economic development. <inline-formula id="inf13">
<mml:math id="m18">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> is the growth rate of the gross domestic product (GDP) in year t. <inline-formula id="inf14">
<mml:math id="m19">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the rate of change in the ecological footprint of water resources in year t. <inline-formula id="inf15">
<mml:math id="m20">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mi>t</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf16">
<mml:math id="m21">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the GDP of the region in the <italic>t</italic>th and t&#x2212;1th years, respectively. <inline-formula id="inf17">
<mml:math id="m22">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:msub>
<mml:mi>w</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf18">
<mml:math id="m23">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:msub>
<mml:mi>w</mml:mi>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the ecological footprints of water resources in the <italic>t</italic>th and t&#x2212;1th years, respectively.</p>
<p>Based on Tapio&#x2019;s explanation of index determination and standard definitions (<xref ref-type="bibr" rid="B5">Fang Kai, 2015</xref>), this article illustrates the decoupling state and its representational connotation, as shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Decoupling index, decoupling state, and evaluation criteria.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left">State</th>
<th align="left">T</th>
<th align="left">
<inline-formula id="inf19">
<mml:math id="m24">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</th>
<th align="left">
<inline-formula id="inf20">
<mml:math id="m25">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mi>G</mml:mi>
<mml:mi>D</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>
</th>
<th align="left">Main meaning</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Decoupling</td>
<td align="left">Strong decoupling (SD)</td>
<td align="left">(&#x2212;&#x221d;, 0]</td>
<td align="left">&#x2264;0</td>
<td align="left">&#x3e;0</td>
<td align="left">GDP increases, while <inline-formula id="inf21">
<mml:math id="m26">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> decreases</td>
</tr>
<tr>
<td align="left">Weak decoupling (WD)</td>
<td align="left">(0, 0.8]</td>
<td align="left">&#x3e;0</td>
<td align="left">&#x3e;0</td>
<td align="left">GDP increases at a faster rate than <inline-formula id="inf22">
<mml:math id="m27">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Recessive decoupling (RD)</td>
<td align="left">[1.2, &#x221d;)</td>
<td align="left">&#x3c;0</td>
<td align="left">&#x3c;0</td>
<td align="left">GDP decreases at a slower rate than <inline-formula id="inf23">
<mml:math id="m28">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Link</td>
<td align="left">Expansive coupling (EC)</td>
<td align="left">(0.8, 1.2]</td>
<td align="left">&#x3e;0</td>
<td align="left">&#x3e;0</td>
<td align="left">GDP increases, while <inline-formula id="inf24">
<mml:math id="m29">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> shows medium-speed growth</td>
</tr>
<tr>
<td align="left">Recessive coupling (RC)</td>
<td align="left">(0.8, 1.2]</td>
<td align="left">&#x3c;0</td>
<td align="left">&#x3c;0</td>
<td align="left">GDP decreases, while <inline-formula id="inf25">
<mml:math id="m30">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> decreases at a medium speed</td>
</tr>
<tr>
<td rowspan="3" align="left">Negative decoupling</td>
<td align="left">Expansive negative decoupling (END)</td>
<td align="left">[1.2, &#x221d;)</td>
<td align="left">&#x3e;0</td>
<td align="left">&#x3e;0</td>
<td align="left">GDP increases at a slower rate than <inline-formula id="inf26">
<mml:math id="m31">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Weak negative decoupling (WND)</td>
<td align="left">(0, 0.8)</td>
<td align="left">&#x3c;0</td>
<td align="left">&#x3c;0</td>
<td align="left">GDP decreases at a faster rate than <inline-formula id="inf27">
<mml:math id="m32">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Strong negative decoupling (SND)</td>
<td align="left">(&#x2212;&#x221d;, 0]</td>
<td align="left">&#x2265;0</td>
<td align="left">&#x2264;0</td>
<td align="left">
<inline-formula id="inf28">
<mml:math id="m33">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> recesses, while GDP decreases slowly</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Tapio divides the decoupling elastic index into eight categories, with 1.2, 0.8, and 0 as critical values:<list list-type="simple">
<list-item>
<p>(1) When T &#x3c; 0, <inline-formula id="inf29">
<mml:math id="m34">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x2264;0, and <inline-formula id="inf30">
<mml:math id="m35">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e; 0, the ecological footprint of water resources is strongly decoupled from economic development. In this state, the economy increases, while the rate of water resource consumption decreases, achieving maximum economic growth with minimal water resource consumption. This is defined to be the most ideal state.</p>
</list-item>
<list-item>
<p>(2) When 0 &#x3c; T &#x2264; 0.8, <inline-formula id="inf31">
<mml:math id="m36">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e;0, and <inline-formula id="inf32">
<mml:math id="m37">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e; 0, it is in a weak decoupling state. By this time, the increase in water footprint will lag behind the rate of economic growth, and economic growth will also be accompanied by a slow increase in water footprint. Thus, it is necessary to increase control over the rational use of water resources and raise water conservation awareness.</p>
</list-item>
<list-item>
<p>(3) When T &#x3e; 1.2, <inline-formula id="inf33">
<mml:math id="m38">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c;0, and <inline-formula id="inf34">
<mml:math id="m39">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c; 0, it indicates a decoupling of recession. Under this state, economic development decreases, and the water footprint also rapidly decreases. It is important to adjust the industrial structure to promote economic recovery and ensure the sustainable use of water resources.</p>
</list-item>
<list-item>
<p>(4) When 0.8 &#x3c; T &#x2264; 1.2, <inline-formula id="inf35">
<mml:math id="m40">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e;0, and <inline-formula id="inf36">
<mml:math id="m41">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e; 0, it is in a growth-connected state, indicating that while the economy is developing, the water footprint will also increase. This is a typical state that requires the authority to take comprehensive steps to promote reasonable coordination between economic growth and water resource consumption.</p>
</list-item>
<list-item>
<p>(5) When 0.8 &#x3c; T &#x2264; 1.2, <inline-formula id="inf37">
<mml:math id="m42">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c;0, and <inline-formula id="inf38">
<mml:math id="m43">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c; 0, it is in a decreasing connection state. There is a decrease in both the water footprint and economic development. Continuous improvement in the pricing mechanism of water resources can be adopted to stimulate green technology innovation and promote sustainable economic recovery.</p>
</list-item>
<list-item>
<p>(6) When T &#x3e; 1.2, <inline-formula id="inf39">
<mml:math id="m44">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e;0, and <inline-formula id="inf40">
<mml:math id="m45">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e; 0, it is in a negative decoupling state of growth. The rate of water footprint increases faster than that of economic development. To address this, a system of total water use needs to be established, and the investment in water-saving technology should be increased for the sake of the comprehensive optimization of water resource utilization. It is necessary to carry out cross-sectoral and cross-industry water resource management and planning.</p>
</list-item>
<list-item>
<p>(7) When 0 &#x3c; T &#x3c; 0.8, <inline-formula id="inf41">
<mml:math id="m46">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c;0, and <inline-formula id="inf42">
<mml:math id="m47">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x3c; 0, it is in a weak negative decoupling state. At this time, both economic growth and water footprint decrease. The rate of economic recession decreases faster than that of water footprint. The government can increase support for water-saving projects, encourage investment in the green industry, and raise awareness about environmental protection.</p>
</list-item>
<list-item>
<p>(8) When T &#x2264; 0, <inline-formula id="inf43">
<mml:math id="m48">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>F</mml:mi>
</mml:mrow>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x2265;0, and <inline-formula id="inf44">
<mml:math id="m49">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:mtext>GDP</mml:mtext>
</mml:mrow>
</mml:math>
</inline-formula> &#x2264; 0, it is in a strong negative decoupling state, and the water footprint increases, while economic development is in a decreasing stage, indicating that the ecological footprint of water resources and economic development are in the most unfavorable state. Immediate steps must be taken, like the resetting of water resource allocation, the improvement in water resource management, and the popularization of efficient water-saving equipment, to achieve a virtuous cycle of economic development, environmental protection, and social stability.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Results and analysis of water footprint composition in Nanjing</title>
<p>Based on the data of <italic>Nanjing Water Resources Bulletin</italic> from 2013 to 2022, we calculate the ecological footprint of water resources, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. According to the type of industry, the agricultural water consumption of the primary industry is the highest, accounting for an average of 40%. The industrial water consumption of the secondary industry consists of 30%, which is the second-highest water usage, followed by residents&#x2019; daily life at 25%. Moreover, ecological environment water consumption ranks last, accounting for an average of 5%.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Per capita water consumption and <italic>per capita</italic> ecological footprint of water resources in Nanjing, 2013&#x2013;2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g001.tif">
<alt-text content-type="machine-generated">Bar chart showing per capita water consumption and ecological footprint from 2013 to 2022. Categories: industrial, water use for living, agricultural, ecological consumption, and ecological footprint. Industrial consumption peaks in 2022. Green line represents ecological footprint, rising sharply in 2022.</alt-text>
</graphic>
</fig>
<p>During the allocation of water resources, less attention is often paid to water used for public welfare, such as the ecological environment. As a result, most cities suffer from a shortage of water resources due to accelerating urbanization and population growth, which restricts water available for the ecological environment.</p>
<p>The <italic>per capita</italic> domestic water consumption in Nanjing has remained relatively stable at approximately 100&#xa0;m<sup>3</sup>/person for 10&#xa0;years, suggesting the reasonable development and management of water resources in Nanjing. This is conducive to ensuring the normal life of residents and the long-term development of urban public industries, which further promotes the stable development of the industrial economy and drives the optimization and upgrading of the industrial structure.</p>
<p>We analyzed the ecological footprint of <italic>per capita</italic> water resources in Nanjing from 2013 to 2022 and found that it remained stable overall, decreasing from a high point of 0.85&#xa0;hm<sup>2</sup>/person in 2013 to a low point of 0.63&#xa0;hm<sup>2</sup>/person in 2021. Although it increased to 1.02&#xa0;hm<sup>2</sup>/person in 2022, social and economic developments, as well as people&#x2019;s quality of life, have continued to improve, which is essential for the sustainable development of a city.</p>
</sec>
<sec id="s3-2">
<title>3.2 Sustainable development status of water resources</title>
<sec id="s3-2-1">
<title>3.2.1 Change trend of <italic>per capita</italic> water resource ecological carrying capacity</title>
<p>According to <xref ref-type="fig" rid="F2">Figure 2</xref>, the <italic>per capita</italic> ecological carrying capacity of water resources in Nanjing showed a gradual increase and then a decrease in an <italic>M</italic>-shaped pattern from 2013 to 2022. It came to the lowest point of 0.07&#xa0;hm<sup>2</sup>/person and 0.08&#xa0;hm<sup>2</sup>/person in 2019 and 2022, respectively. The value was at its peak in 2016 and 2020, with 0.38&#xa0;hm<sup>2</sup>/person and 0.35&#xa0;hm<sup>2</sup>/person, respectively. The peak value is more than five times the valley value. In 2022, the industrial water consumption in Nanjing increased sharply, reaching 30.36 billion m<sup>3</sup>. It results in the abnormal data on <italic>per capita</italic> industrial water consumption and <italic>per capita</italic> water resource ecological footprint shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The possible reasons are as follows: first, the total industrial output value of the city&#x2019;s above-scale industries exceeded 1.5 trillion yuan, which showed an increase of 5.9% over the previous year. The expansion of industrial production will inevitably lead to an increase in industrial water consumption. Second, the climate in Nanjing was seriously abnormal in 2022. The average temperature reached the highest record in the same period since 1961. The number of high-temperature days broke the record for high-temperature days in summer. The reservoir water storage capacity set the lowest record in the same period, and the water level of the Yangtze River, Shuiyang River, and Shijiu Lake set the lowest record at the same time. High-temperature weather and drought lead to a significant increase in the consumption of cooling water by industrial enterprises, such as thermal power, steel, chemical, and other industries, needing more water to cool equipment. Finally, some enterprises have made slow progress in the implementation of water-saving measures and the construction of repeated water-use systems and have not made full use of unconventional water sources, such as reclaimed water and rainwater, which may also lead to an increase in industrial water consumption.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Changes in <italic>per capita</italic> ecological carrying capacity and total water resources in Nanjing, 2013&#x2013;2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g002.tif">
<alt-text content-type="machine-generated">Bar and line chart showing total water resources and ECW from 2013 to 2022. Water resources in thousands of cubic meters peak in 2016, then fluctuate. ECW peaks in 2016 and 2020.</alt-text>
</graphic>
</fig>
<p>The trend of change has shifted from a slow decrease to a sharp decrease, and the ecological carrying capacity of water resources in Nanjing has shown a fluctuating trend. In April 2015, the State Council issued <italic>the Action Plan for Water Pollution Prevention and Control (Ten Measures for Water</italic>), which marked the important planning and determination of the Chinese government toward water environment governance. After the policy was promulgated, Nanjing has achieved some progress in the utilization of water resources and the protection of the ecological environment. However, water resource treatment still needs to be given great importance to ensure that the ecological carrying capacity of water resources can be continuously improved to meet the needs of urban sustainable development. There is a close relationship between the ecological carrying capacity of water resources and the total amount of water resources, but it is not a linear relationship. The total amount of water resources is one of the important factors affecting the ecological carrying capacity of water resources, but it is not the only factor. Further analysis is needed on relevant conditions, such as forest cover, water bodies, population size, and geological landforms in the region.</p>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Change trend of ecological surplus and deficit in water resources</title>
<p>As shown in <xref ref-type="fig" rid="F3">Figure 3</xref>, the <italic>per capita</italic> water resources in Nanjing have been in a state of ecological deficit for 10&#xa0;years, with an <italic>M</italic>-shaped trend of change. Decreasing from &#x2212;0.67&#xa0;hm<sup>2</sup>/person in 2013 to &#x2212;0.28&#xa0;hm<sup>2</sup>/person in 2016, the ecological deficit then increased from &#x2212;0.64&#xa0;hm<sup>2</sup>/person in 2019 to the peak of &#x2212;0.94&#xa0;hm<sup>2</sup>/person in 2022. The average <italic>per capita</italic> ecological deficit over the past 10&#xa0;years is &#x2212;0.53&#xa0;hm<sup>2</sup>/person, which indicates that the ecological deficit is still relatively large and places significant pressure on the environment.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Trends in ecological pressure, ecological surplus, and ecological deficit of <italic>per capita</italic> water resources in Nanjing, 2013&#x2013;2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g003.tif">
<alt-text content-type="machine-generated">Line graph comparing &#x22;ebw&#x22; and &#x22;Sw&#x22; from 2012 to 2023. The &#x22;ebw&#x22; values, marked by black triangles, fluctuate between -0.7 and 0 over time. The &#x22;Sw&#x22; values, indicated by red squares, vary between -0.9 and 14, showing notable peaks in 2019 and 2022.</alt-text>
</graphic>
</fig>
<p>Nanjing, a rapidly developing city in the Yangtze River Delta Economic Belt, is an important economic center and a densely populated area in China. The high demand from primary and secondary industries, as well as for domestic water, has led to a prominent contradiction between water supply and demand. The significant ecological deficit of water resources proves that Nanjing is facing challenges in water resource development, management, and utilization. The protection of water resources must be accelerated to realize sustainable utilization and ecological balance of water resources. Based on <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>, it can be concluded that the <italic>per capita</italic> ecological carrying capacity and <italic>per capita</italic> ecological deficit have shown a roughly <italic>M</italic>-shaped trend over the past 10&#xa0;years, and they were similar.</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Trends in the ecological pressure index of water resources</title>
<p>During the research period, the overall ecological pressure on water resources in Nanjing presented a <italic>W</italic>-shaped pattern, as shown in <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F3">Figure 3</xref>. The ecological pressure index of water resources was approximately 4.54, which is much higher than 1, indicating the exploitation and utilization of water resources were in a difficult situation. The change in <italic>per capita</italic> water resources&#x2019; ecological carrying capacity in Nanjing was opposite to that of the water resource ecological pressure value. The change in the <italic>per capita</italic> ecological deficit of water resources was opposite to that of the ecological pressure value of water resources. The total amount of water resources in Nanjing was opposite to the ecological pressure index of water resources. These asynchronous changes had a certain impact on the ecological pressure of water resources.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Ecological stress of water resources in Nanjing from 2013 to 2022.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Year</th>
<th align="right">2013</th>
<th align="right">2014</th>
<th align="right">2015</th>
<th align="right">2016</th>
<th align="right">2017</th>
<th align="right">2018</th>
<th align="right">2019</th>
<th align="right">2020</th>
<th align="right">2021</th>
<th align="right">2022</th>
<th align="right">Average</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">SW</td>
<td align="right">4.35</td>
<td align="right">3.36</td>
<td align="right">2.14</td>
<td align="right">1.50</td>
<td align="right">2.95</td>
<td align="right">2.75</td>
<td align="right">10.18</td>
<td align="right">1.84</td>
<td align="right">3.16</td>
<td align="right">13.13</td>
<td align="right">4.54</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Although the total amount of water resources is high, the water resources are relatively abundant, and the demand for water resources from human production activities can be met, which leads to a relatively small ecological pressure on water resources. Under the circumstances, both the water environment and ecosystem can be well protected and maintained. The ecological balance is also maintained. In contrast, water resources in short supply certainly result in a significant growth in ecological pressure on water resources. Accordingly, through effective management and protection of ecological resources, the <italic>per capita</italic> ecological carrying capacity of a region will be enhanced. Nevertheless, due to population growth or unreasonable use of resources, the <italic>per capita</italic> ecological deficit may still increase uncontrollably.</p>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Evaluation of decoupling between the utilization of water resources and the economic growth</title>
<sec id="s3-3-1">
<title>3.3.1 Overall analysis of the decoupling between the water resource ecological footprint and economic growth</title>
<p>The results of the calculation and analysis of water resource consumption and economic development in Nanjing from 2013 to 2022 are shown in <xref ref-type="fig" rid="F4">Figure 4</xref>. From this, we can conclude the following: (1) over the past 10&#xa0;years, the ecological footprint of water resources in Nanjing generally showed a consistent trend with economic growth. (2) There were six instances of strong decoupling, three of weak decoupling, and one recession of decoupling between GDP growth and the water resource ecological footprint in Nanjing. It cannot be ignored that every year decoupling occurred, with strong decoupling accounting for 60%. Except for the highly discrete data in 2022, the decoupling index was mostly stable. This indicates that the economic growth and water resource consumption in Nanjing were generally decoupled. Although the economic growth was at a high level, the use of water resources decreased, and the economic growth did not exert excessive pressure on water resources. The high proportion of strong decoupling suggests that Nanjing has achieved great achievements in water resource management, environmental protection, and sustainable development, which is conducive to healthy development. However, there have been three instances of weak decoupling, reminding us that the ecological footprint of water resources and economic development are still in a state of incongruity. Economic growth still comes at the cost of consuming water resources, and benign development is not stable enough. The problems of economic increase at the cost of consuming water resources and the lack of stable development still exist. It may be a result of various factors, such as economic restructuring, changes in water-saving policies, and urbanization in Nanjing. Regarding these problems, further measures are needed to promote the sustainable utilization of water resources and the sustainable development of the economy.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Dynamic decoupling index of water use and economic development in Nanjing from 2013 to 2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g004.tif">
<alt-text content-type="machine-generated">Line graph depicting the changes in GDP, decoupling index, and changes in the ecological footprint of water resources from 2013 to 2022. The blue line indicates a relatively stable decoupling index, while the green line shows significant fluctuations in the water resources footprint, peaking in 2022. Red squares represent steady GDP changes across the years.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3-2">
<title>3.3.2 Analysis of the decoupling relationship between the water resource ecological footprint and economic growth in the industrial and agricultural parts</title>
<p>The sections with the highest water consumption in Nanjing are industry and agriculture, as shown in <xref ref-type="fig" rid="F5">Figures 5</xref>, <xref ref-type="fig" rid="F6">6</xref>, from which we can learn the following: (1) the coordination between the ecological footprint of water resources and economic growth in agriculture was superior to that in the industry. (2) The evaluation of the industrial decoupling index shows that there were three instances of strong decoupling, four of weak decoupling, and three of growth connectivity. For the industry sector specifically, there were seven instances of strong decoupling, one of weak decoupling, and two of growth connectivity. The differences showed that the development of industrial sectors in Nanjing relied more on water resources than agriculture but demonstrated more sustainability in protecting the environment. For the utilization of agricultural water resources, there were 7&#xa0;years of negative decoupling, with strong decoupling accounting for 50%, and weak decoupling and growth decoupling accounting for 10% each. In 2020, there was even a decrease in decoupling. Overall, although the economic development of agriculture decreases, it is also accompanied by an increase in environmental pressure and an excessive dependence on water resource utilization.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Changes in the decoupling relationship between the ecological footprint of water resources and economic development in industrial sectors, 2013&#x2013;2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g005.tif">
<alt-text content-type="machine-generated">Line graph depicting the decoupling index for the industry from 2013 to 2022. The index fluctuates, with notable drops in 2015 and 2021, and peaks in 2017 and 2019. Horizontal lines at 1.2 and 0.8 are shown.</alt-text>
</graphic>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Changes in the decoupling relationship between the ecological footprint of water resources and economic development in agricultural sectors, 2013&#x2013;2022.</p>
</caption>
<graphic xlink:href="fenvs-13-1521769-g006.tif">
<alt-text content-type="machine-generated">Line graph depicting the decoupling index in agriculture from 2012 to 2023. The index fluctuates, peaking above 10 in 2020 and dropping below -30 in 2018. A horizontal line marks values at 1.2 and 0.8.</alt-text>
</graphic>
</fig>
<p>The higher dependence of industry on water resources than that of agriculture may be attributed to the following four reasons: (1) industrial structure differences: as a key industrial city in the Yangtze River Delta, Nanjing hosts water-intensive industries, such as petrochemicals, steel, and electronics (e.g., Yangzi Petrochemical and Nanjing Iron &#x26; Steel Group). Production processes require substantial cooling and washing water, making water consumption relatively inflexible. Nanjing&#x2019;s agriculture primarily focuses on rice and vegetable cultivation. Although irrigation is necessary, water usage can be reduced through water-saving technologies (e.g., drip irrigation and mulching) and crop structure adjustments (e.g., drought-resistant crops). Additionally, some areas rely on natural rainfall. (2) Technical and management levels: some traditional enterprises still rely on outdated equipment, resulting in low water recycling rates (e.g., direct discharge of cooling water). The high cost of water-saving technological upgrades has weakened corporate motivation for improvement. The government promotes efficient water-saving irrigation (e.g., water-saving demonstration zones in the Gaochun District) and precision fertilization technologies. Policy subsidies have reduced the cost of water conservation for farmers. (3) Policy regulatory intensity: despite the implementation of water resource taxes and pollutant discharge permit systems, enforcement challenges persist, including incidents of unauthorized emissions and data manipulation by enterprises, resulting in significant regulatory difficulties. Ecological compensation mechanisms (e.g., rewards for water-saving farmers) and environmental awareness campaigns have proven highly effective, with farmers demonstrating strong environmental consciousness. (4) Characteristics of water resource utilization: industrial parts (e.g., electronics manufacturing) require high-quality water (e.g., ultrapure water), leading to elevated treatment costs. Agriculture&#x2019;s flexible water quality needs enable large-scale reclaimed water applications.</p>
<p>Given the distinct water resource demands of industry and agriculture, the following strategies can be implemented: (1) spatial optimization of industrial distribution: traditional heavy industries should be phased out (e.g., relocating some production capacity of Nanjing Iron &#x26; Steel), and emerging water-efficient industries (e.g., software &#x26; IT services and biopharmaceuticals) should be developed. Integrated rice&#x2013;fish farming should be promoted in Luhe District to reduce water consumption associated with monoculture rice cultivation. (2) Deep water conservation in the industrial sector: technological upgrades should be mandated, and water-use quotas per unit output value should be enforced in water-intensive industries (petrochemicals and steel), while obsolete production capacities are phased out. Closed-loop water recycling systems should be promoted (e.g., a 30% reduction in cooling water was achieved through circulation systems at an electronics manufacturer in the Nanjing Economic Development Zone). Economic incentive mechanisms should be, implemented, including tiered water pricing with punitive tariffs and elevated water resource taxes imposed on enterprises that exceed quotas. Industrial park should be optimized through the development of park-wide reclaimed water systems (e.g., Jiangbei New Area Project), enabling cascading water reuse among enterprises through intensive resource management. (4) Innovative policy and regulatory mechanisms: precision industrial supervision should be ensured by requiring the installation of real-time online monitoring devices, with data directly linked to environmental protection agencies. Stringent penalties should be applied for data fraud (e.g., automatic fines triggered by abnormal discharge data patterns); inter-departmental coordination mechanisms should be established (e.g., joint Water Affairs Bureau/Agriculture Bureau initiatives) to develop spatially differentiated management protocols like Nanjing&#x2019;s <italic>&#x201c;Three-Zone Water Resource Management System&#x201d;</italic> (red/yellow/blue zoning), under which strict location restrictions are imposed on water-intensive projects.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>This article pays attention to the pressure caused by water resource consumption on human social production and life. Based on the water resource bulletin and socio-economic statistical data, the water resource ecological footprint and water carrying capacity of Nanjing from 2013 to 2022 are calculated using the theory and method of the water footprint. The relationship between the water resource ecological footprint and economic development is analyzed using the Tapio decoupling model to reveal the balance between water resource utilization and economic development. The following conclusions are drawn: (1) the water footprint of Nanjing shows a downward trend, continuously tending toward a positive development, which is essential for the sustainable utilization of water resources. However, the water consumption was mainly for industrial and agricultural uses, indicating that the allocation of water resources was not sufficiently reasonable. This must be closely related to the structure of industry in Nanjing. The next step should be industries&#x2019; cooperation to improve the efficiency of the water use. (2) The <italic>per capita</italic> ecological carrying capacity of water resources and the <italic>per capita</italic> ecological deficit in Nanjing have shown a continuous trend of improvement. Nevertheless, the average <italic>per capita</italic> ecological deficit in Nanjing for many years was &#x2212;0.53&#xa0;hm<xref ref-type="fn" rid="fn2">
<sup>2</sup>
</xref>/person, and the average ecological pressure index of water resources was 4.54, far more than 1, suggesting an imbalance between water supply and demand. As a large city, Nanjing has experienced rapid economic development, a large population, and large water resource consumption. Government should strengthen water resource management, advocate for water conservation, increase investment in science and technology, and gradually promote ecological restoration. (3) According to the analysis of the decoupling between the ecological footprint of water resources and economic development, the decoupling rate is 100%, and strong decoupling is 60%. All in all, it developed coordinately, providing a relatively environmentally friendly and stable support for future economic development. (4) Compared to the water consumption of the industrial and agricultural sectors, the dependence of industrial development on water resources is still evident. The Nanjing government should actively adjust and improve its industrial structure, enhance the efficiency of water resource utilization and the development of a green economy, address excessive consumption of water resources in industrial production, gradually achieve a strong decoupling between water resource utilization and economic growth, and contribute to sustainable socio-economic development. As a result, we still need to accelerate the environmentally friendly upgrading of industrial structures and the improvement of the water environment.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>XQ: Writing &#x2013; original draft, Writing &#x2013; review and editing, Data curation, Formal analysis, Investigation. SH: Formal analysis, Methodology, Project administration, Resources, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>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.</p>
</sec>
<fn-group>
<fn id="fn1">
<label>1</label>
<p>See <ext-link ext-link-type="uri" xlink:href="http://tjj.nanjing.gov.cn/">http://tjj.nanjing.gov.cn/</ext-link>for further details.</p>
</fn>
<fn id="fn2">
<label>2</label>
<p>See <ext-link ext-link-type="uri" xlink:href="http://shuiwu.nanjing.gov.cn/">http://shuiwu.nanjing.gov.cn/</ext-link>for further details.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ansorge</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Stejskalov&#xe1;</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Water footprint as a tool for selection of alternatives (comments on &#x201c;food recommendations for reducing water footprint&#x201d;)</article-title>. <source>Sustainability</source> <volume>14</volume>, <fpage>8</fpage>. <pub-id pub-id-type="doi">10.3390/su14106317</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Antonelli</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sartori</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Unfolding the potential of the virtual water concept. What is still under debate?</article-title> <source>Environ. Sci. and Policy</source> <volume>50</volume>, <fpage>240</fpage>&#x2013;<lpage>251</lpage>. <pub-id pub-id-type="doi">10.1016/j.envsci.2015.02.011</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>X. T.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S. B.</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>Z. D.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>K. X.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Dynamic characteristic and decoupling relationship of energy consumption on China&#x2019;s construction industry</article-title>. <source>Buildings-Basel</source> <volume>12</volume>, <fpage>1745</fpage>. <pub-id pub-id-type="doi">10.3390/buildings12101745</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dai</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Assessment of the water resource carrying capacity based on the ecological footprint: a case study in Zhangjiakou City, North China</article-title>. <source>Environ. Sci. Pollut. Res. Int.</source> <volume>26</volume>, <fpage>11000</fpage>&#x2013;<lpage>11011</lpage>. <pub-id pub-id-type="doi">10.1007/s11356-019-04414-9</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fang Kai</surname>
<given-names>&#x65b9;</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Assessing the natural capital use of major nations: an application of a revised three-dimensional model of ecological footprint</article-title>. <source>Acta Ecol. Sin.</source> <volume>35</volume>. <pub-id pub-id-type="doi">10.5846/stxb201308022011</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>B. X.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>Y. X.</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>Y. X.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>X. X.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Effect of water Resource utilization in Poyang lake area on carbon emissions based on decoupling theory</article-title>. <source>Heliyon</source> <volume>10</volume>, <fpage>e36292</fpage>. <pub-id pub-id-type="doi">10.1016/j.heliyon.2024.e36292</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gao</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Graves</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Mattes</surname>
<given-names>H. A.</given-names>
</name>
<name>
<surname>Fathollahifard</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Vogel</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Hydro-modeling the ecosystem impact of wastewater reuse under climate change: a case study in upper Red River basin, Oklahoma</article-title>. <source>J. Am. Water Resour. Assoc.</source> <volume>60</volume>, <fpage>865</fpage>&#x2013;<lpage>878</lpage>. <pub-id pub-id-type="doi">10.1111/1752-1688.13208</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gong</surname>
<given-names>Q. X.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>G. X.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: a novel decomposition framework</article-title>. <source>J. Environ. Manage.</source> <volume>370</volume>, <fpage>122931</fpage>. <pub-id pub-id-type="doi">10.1016/j.jenvman.2024.122931</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gong</surname>
<given-names>Q. X.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>G. X.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>S. P.</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>X. D.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Decoupling of urban economic growth and water consumption in Chongqing and Chengdu from the &#x201c;production-living-ecological&#x201d; perspective</article-title>. <source>Sust. Cities Soc.</source> <volume>75</volume>, <fpage>103395</fpage>. <pub-id pub-id-type="doi">10.1016/j.scs.2021.103395</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kummu</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Guillaume</surname>
<given-names>J. H. A.</given-names>
</name>
<name>
<surname>de Moel</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Eisner</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Fl&#xf6;rke</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Porkka</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>The world&#x2019;s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability</article-title>. <source>Sci. Rep.</source> <volume>6</volume>, <fpage>38495</fpage>. <pub-id pub-id-type="doi">10.1038/srep38495</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Yi</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Bu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>An improved ecological footprint method for water resources utilization assessment in the cities</article-title>. <source>Water</source> <volume>12</volume>, <fpage>503</fpage>. <pub-id pub-id-type="doi">10.3390/w12020503</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Linnan</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Weixin</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Cuiling</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Xiaoqiu</surname>
<given-names>F. A. N.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Ecological footprint method in water resources assessment</article-title>. <source>Acta Ecologica. Sinica</source> <volume>28</volume>, <fpage>1279</fpage>&#x2013;<lpage>1286</lpage>.</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>S. Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>M. Y.</given-names>
</name>
<name>
<surname>Yao</surname>
<given-names>Y. X.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>G. Q.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Multi-scale water use balance for a typical coastal city in China</article-title>. <source>J. Clean. Prod.</source> <volume>236</volume>, <fpage>117505</fpage>. <pub-id pub-id-type="doi">10.1016/j.jclepro.2019.06.336</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="book">
<collab>OECD</collab> (<year>2015</year>). <source>Principles on water governance</source>. <publisher-name>Organization for Economic Cooperation and Development</publisher-name>. <publisher-loc>Paris: OECD Publishing</publisher-loc>. <pub-id pub-id-type="doi">10.4324/9780429448058</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Omer</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Elagib</surname>
<given-names>N. A.</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>Z. G.</given-names>
</name>
<name>
<surname>Saleem</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Mohammed</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Water scarcity in the Yellow River Basin under future climate change and human activities</article-title>. <source>Sci. Total Environ.</source> <volume>749</volume>, <fpage>13</fpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2020.141446</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peng</surname>
<given-names>Q. L.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>W. J.</given-names>
</name>
<name>
<surname>Kong</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>J. Q.</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ramsey</surname>
<given-names>T. S.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Spatio-temporal analysis of water sustainability of cities in the Yangtze River Economic Belt based on the perspectives of quantity-quality-benefit</article-title>. <source>Ecol. Indic.</source> <volume>160</volume>, <fpage>111909</fpage>. <pub-id pub-id-type="doi">10.1016/j.ecolind.2024.111909</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stoeglehner</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Edwards</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Daniels</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Narodoslawsky</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>The water supply footprint (WSF): a strategic planning tool for sustainable regional and local water supplies</article-title>. <source>J. Clean. Prod.</source> <volume>19</volume>, <fpage>1677</fpage>&#x2013;<lpage>1686</lpage>. <pub-id pub-id-type="doi">10.1016/j.jclepro.2011.05.020</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>S. H.</given-names>
</name>
<name>
<surname>Ren</surname>
<given-names>J. T.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>Z. L.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Research on the decoupling relationship between water resources utilization and economic development at the county scale in Qian&#x27;nan Prefecture, Guizhou Province</article-title>. <source>Front. Environ. Sci.</source> <volume>12</volume>, <fpage>15</fpage>. <pub-id pub-id-type="doi">10.3389/fenvs.2024.1347652</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Assessment of water ecological footprint size, depth, and spatial pattern in China</article-title>. <source>Acta Ecol. Sin.</source> <volume>37</volume>. <pub-id pub-id-type="doi">10.5846/stxb201608101640</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tapio</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001</article-title>. <source>Transp. Policy</source> <volume>12</volume>, <fpage>137</fpage>&#x2013;<lpage>151</lpage>. <pub-id pub-id-type="doi">10.1016/j.tranpol.2005.01.001</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<collab>UNESCO</collab>. (<year>2021</year>). <article-title>The united nations world water development Report 2021: valuing water</article-title>. <pub-id pub-id-type="doi">10.18356/9789210054157</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vorosmarty</surname>
<given-names>C. J.</given-names>
</name>
<name>
<surname>Green</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Salisbury</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Lammers</surname>
<given-names>R. B.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Global water resources: vulnerability from climate change and population growth</article-title>. <source>Sci. (New York, N.Y.)</source> <volume>289</volume>, <fpage>284</fpage>&#x2013;<lpage>288</lpage>. <pub-id pub-id-type="doi">10.1126/science.289.5477.284</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Wackenagel</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>William</surname>
<given-names>E. R.</given-names>
</name>
</person-group> (<year>1996</year>). <article-title>Our ecological footprint: reducing human impact on the earth</article-title>. <publisher-name>Gabriola Isoland</publisher-name>, <publisher-loc>BC: New Society Publishers</publisher-loc>. <fpage>2</fpage>&#x2013;<lpage>17</lpage>.</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wackernagel</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>White</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Moran</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Using Ecological Footprint accounts: from analysis to applications</article-title>. <source>Int. J. Environ. Sustain. Dev.</source> <volume>3</volume>, <fpage>293</fpage>&#x2013;<lpage>315</lpage>. <pub-id pub-id-type="doi">10.1504/ijesd.2004.005077</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Geng</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Bentley</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Y.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Water footprint assessment for coal-to-gas in China</article-title>. <source>Nat. Resour. Res.</source> <volume>28</volume>, <fpage>1447</fpage>&#x2013;<lpage>1459</lpage>. <pub-id pub-id-type="doi">10.1007/s11053-018-9446-8</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>William</surname>
<given-names>E. R.</given-names>
</name>
</person-group> (<year>1992</year>). <article-title>Ecological footprints and appropriated carrying capacity: what urban economics leaves out</article-title>. <source>Environ. Urbanization</source> <volume>4</volume> (<issue>2</issue>), <fpage>121</fpage>&#x2013;<lpage>130</lpage>. <pub-id pub-id-type="doi">10.1177/095624789200400212</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>William</surname>
<given-names>E. R.</given-names>
</name>
</person-group> (<year>1996</year>). <article-title>Revisiting carrying capacity: area-based indicators of sustainability</article-title>. <source>Popul. Environ.</source> <volume>17</volume>, <fpage>195</fpage>&#x2013;<lpage>215</lpage>. <pub-id pub-id-type="doi">10.1007/bf02208489</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Tam</surname>
<given-names>V. W. Y.</given-names>
</name>
<name>
<surname>Shuai</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Decoupling China&#x27;s economic growth from carbon emissions: empirical studies from 30 Chinese provinces (2001-2015)</article-title>. <source>Sci. Total Environ.</source> <volume>656</volume>, <fpage>576</fpage>&#x2013;<lpage>588</lpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2018.11.384</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiong</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>New patterns in China&#x27;s water footprint: analysis of spatial and structural transitions from a regional perspective</article-title>. <source>J. Clean. Prod.</source> <volume>245</volume>, <fpage>118942</fpage>. <pub-id pub-id-type="doi">10.1016/j.jclepro.2019.118942</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>History and future of water footprint in the Yangtze River Delta of China</article-title>. <source>Environ. Sci. Pollut. Res. Int.</source> <volume>31</volume>, <fpage>25508</fpage>&#x2013;<lpage>25523</lpage>. <pub-id pub-id-type="doi">10.1007/s11356-024-32757-5</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>