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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1753236</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Urban land use conflict, green innovation and sustainable productivity: evidence from urban agglomerations in the Yangtze River Basin, China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Gong</surname> <given-names>Pengpeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tang</surname> <given-names>Houtian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Sheng</surname> <given-names>Yilong</given-names></name>
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<aff id="aff1"><label>1</label><institution>School of Marxism, Central China Normal University</institution>, <city>Wuhan</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>School of Public Affairs, Xiamen University</institution>, <city>Xiamen</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>School of Management, Wuhan Institute of Technology</institution>, <city>Wuhan</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Houtian Tang, <email xlink:href="mailto:tanghoutian@stu.xmu.edu.cn">tanghoutian@stu.xmu.edu.cn</email>; Yilong Sheng, <email xlink:href="mailto:13101003@wit.edu.cn">13101003@wit.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1753236</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Gong, Tang and Sheng.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Gong, Tang and Sheng</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>As China&#x00027;s urbanization accelerates, the ongoing expansion of cities has exacerbated tight land resource constraints and the reduction of ecological space. Under these conditions, conventional extensive modes of development are unable to simultaneously accommodate economic growth, resource efficiency, and environmental carrying capacity, thus impeding the further development of urban sustainable productivity (USP). Drawing on resource scarcity theory and spatial equilibrium theory, this paper develops a theoretical analytical framework of &#x0201C;urban land use conflict (ULUC)&#x02013;green innovation (GI)&#x02013;USP&#x0201D;. Taking the urban agglomeration in the Yangtze River Basin (YRB) as a case study, this paper employs fixed effects models and mediation effect tests, and other empirical techniques, to investigate the mechanisms through which ULUC influences USP. These results show that: (1) ULUC exerts a significant positive impact on USP, and this effect exhibits marked variation across different sections of the YRB. (2) GI plays a mediating role in the relationship between ULUC and USP, while fiscal environmental expenditure (FEE) and green finance support (GFS) enhance this influence through moderating mechanisms. (3) Industrial structure upgrading displays a clear threshold effect, whereby the impact of ULUC on USP is significantly reinforced only when the urban industrial structure has reached a certain level of development. Against the backdrop of increasingly binding land resource constraints, cities are suggested to enhance their GI capacity, increase investment in environmental policy implementation, and promote industrial structure upgrading so as to advance USP.</p></abstract>
<kwd-group>
<kwd>green innovation</kwd>
<kwd>Impact mechanism</kwd>
<kwd>urban land use conflict</kwd>
<kwd>urban sustainable productivity</kwd>
<kwd>Yangtze River Basin urban agglomeration</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="13"/>
<equation-count count="8"/>
<ref-count count="81"/>
<page-count count="18"/>
<word-count count="13492"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Land, Livelihoods and Food Security</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Against the backdrop of rapid global urbanization and the continued tightening of land resources, population agglomeration, high industrial concentration, and increasing development intensity have jointly exacerbated the structural contradiction between urban land demand and ecological carrying capacity (<xref ref-type="bibr" rid="B22">Grimm et al., 2008</xref>; <xref ref-type="bibr" rid="B36">Liu and Zhou, 2021</xref>; <xref ref-type="bibr" rid="B55">Wang and Zhang, 2022</xref>). As the problems of construction land expansion, ecological space compression, and declining environmental quality continue to accumulate, urban land use conflict (ULUC) has become increasingly prevalent in cities across many countries and has gradually evolved into a key challenge constraining high quality urban development (<xref ref-type="bibr" rid="B13">De Jong et al., 2021</xref>; <xref ref-type="bibr" rid="B19">Gao and O&#x00027;Neill, 2020</xref>). Confronted with the pressure of the &#x0201C;dual carbon&#x0201D; targets, cities across the world face growing pressure to achieve a dynamic balance among economic growth, resource consumption, and ecological protection within limited spatial resources (<xref ref-type="bibr" rid="B10">Cheng et al., 2025</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2025</xref>). In this context, green technological innovation, industrial structure upgrading (ISU), and improvements in factor allocation efficiency are becoming crucial means of easing land and environmental constraints and of promoting a transformation in prevailing development patterns (<xref ref-type="bibr" rid="B8">Cheng M. et al., 2024</xref>; <xref ref-type="bibr" rid="B29">Li and Lin, 2017</xref>). Meanwhile, sustainable productivity, as a composite indicator encompassing both economic efficiency and environmental performance, provides a systematic reflection of a city&#x00027;s development resilience and capacity for green transition under resource constraints. Its evolution is jointly shaped by land use patterns, the energy mix, technological capabilities, and the institutional environment (<xref ref-type="bibr" rid="B28">Leng et al., 2024</xref>; <xref ref-type="bibr" rid="B63">Wang et al., 2023b</xref>; <xref ref-type="bibr" rid="B73">Zeng et al., 2025</xref>). Accordingly, examining the impact pathways of ULUC from the perspective of sustainable productivity deepens understanding of development mechanisms under urban resource and environmental constraints, while offering theoretical insights and practical guidance for more resilient and green oriented development models (<xref ref-type="bibr" rid="B54">Tian et al., 2025</xref>; <xref ref-type="bibr" rid="B46">Qu et al., 2023a</xref>).</p>
<p>As the river basin with the largest territorial span and the most complex urban system in China, the Yangtze River Basin (YRB) not only serves as a key platform for the integrated development of the eastern, central, and western economic regions, but also occupies an irreplaceable position in sustaining national economic growth, constructing ecological security barriers, and organizing the spatial layout of strategic industries (<xref ref-type="bibr" rid="B27">Jing et al., 2022</xref>). Influenced jointly by differences in natural endowments, industrial foundations, and stages of development, the YRB exhibits pronounced internal gradients in urban size structure, modes of industrial organization, and land use patterns. This has given rise to a characteristic spatial configuration ranging from upstream areas with prominent ecological functions and high resource and environmental sensitivity to middle and downstream areas marked by strong industrial capacity and high population density (<xref ref-type="bibr" rid="B3">Bian et al., 2021</xref>; <xref ref-type="bibr" rid="B68">Yang Q. et al., 2022</xref>). With the continued advance of urbanization, problems such as rising construction demand and the encroachment on cultivated land and ecological space have become widespread among cities in the YRB. In the middle and lower reaches, where development density is higher and factor inputs are more concentrated, the combined effects of tightened land use conditions and intensified environmental carrying pressure are particularly pronounced, giving rise to ULUC characterized by high spatial concentration and a highly complex structural configuration (<xref ref-type="bibr" rid="B35">Liu et al., 2018</xref>; <xref ref-type="bibr" rid="B45">Qu et al., 2024</xref>; <xref ref-type="bibr" rid="B57">Wang et al., 2024</xref>). Against the broader backdrop of the Chinese government&#x00027;s efforts to promote green development and modernize the governance system of the YRB, the region is simultaneously confronted with stringent ecological protection mandates and persistent pressure for industrial upgrading (<xref ref-type="bibr" rid="B11">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="B33">Liu et al., 2023</xref>). These dual forces render ULUC more sensitive and heighten its potential to exert far reaching impacts on urban production efficiency, green innovation (GI), and the transformation of development patterns.</p>
<p>In examining the relationship between land use change and urban development, previous studies can be broadly categorized into three major research strands. Firstly, some studies primarily investigate changes in land use structure, the expansion of urban spatial extent, and the intensification of construction activities. They analyse how land input, economic growth, total factor productivity, and factor allocation efficiency are interrelated, and clarify the resource allocation effects that alternative land development strategies exert on urban development (<xref ref-type="bibr" rid="B76">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B38">Luge et al., 2025</xref>). Within this stream of literature, researchers have proposed land input&#x02013;output models and other efficiency assessment techniques, demonstrating that the pace of urban expansion, prevailing development patterns, and the extent of extensive land use exert significant influences on urban economic performance and the quality of urban development (<xref ref-type="bibr" rid="B18">Dong et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Gao et al., 2020</xref>; <xref ref-type="bibr" rid="B50">Song et al., 2022</xref>). Secondly, existing studies also concentrate on the evolution of urban spatial morphology and investigate how it affects externalities, including energy use, carbon emissions, and environmental quality (<xref ref-type="bibr" rid="B47">Qu et al., 2023b</xref>; <xref ref-type="bibr" rid="B79">Zheng et al., 2023</xref>). A number of studies employ indicators including urban form indices, the spatial layout of construction land, and the density of transport networks to characterize changes in spatial structure, and analyse the mechanisms through which different land development modes influence energy system efficiency, pollution emissions, and ecosystem stability, thereby revealing the close relationship between land use patterns and urban environmental performance (<xref ref-type="bibr" rid="B42">Mohamed et al., 2022</xref>; <xref ref-type="bibr" rid="B61">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="B9">Cheng P. et al., 2024</xref>). Finally, studies drawing on the lenses of intensive land use and regional sustainability highlight the pivotal importance of coordinating the spatial distribution of population, industrial activities, and ecological functions for improving the quality of regional development (<xref ref-type="bibr" rid="B15">Deng et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Leng et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Qu et al., 2023a</xref>). The prevailing view among scholars is that increases in land use efficiency, together with more rational spatial functional layouts and stricter ecological and environmental constraints, can mitigate development bottlenecks arising from spatial resource pressures and furnish the necessary foundations for high quality regional growth (<xref ref-type="bibr" rid="B26">Jiang et al., 2025</xref>; <xref ref-type="bibr" rid="B43">Ouyang et al., 2023</xref>; <xref ref-type="bibr" rid="B46">Qu et al., 2023a</xref>). Although existing studies have produced a substantial body of findings, they have yet to incorporate ULUC as a key variable for comprehensively characterizing spatial resource tensions within a unified analytical framework. As a result, it remains difficult to uncover the intrinsic logic underlying changes in urban sustainable productivity (USP) under the combined effects of stringent land constraints, mounting ecological pressure, and intensified spatial competition. In particular, from a sustainable development perspective, the joint impact of ULUC on economic efficiency and environmental performance has not yet been examined in a systematic and rigorous manner.</p>
<p>Fundamentally, ULUC not only reflects the intensity of spatial supply demand imbalances but also reveals the multiple tensions embedded in factor allocation, industrial structure, and environmental pressure, and its effects operate through complex and bidirectional pathways (<xref ref-type="bibr" rid="B55">Wang and Zhang, 2022</xref>; <xref ref-type="bibr" rid="B46">Qu et al., 2023a</xref>). On the one hand, when construction land expands excessively and ecological space remains under persistent pressure, cities may encounter rising land costs, cumulative environmental degradation, and intensified factor misallocation. This leads to decreased energy efficiency, increased pollution emissions, and higher ecological governance costs, thereby inhibiting improvements in USP (<xref ref-type="bibr" rid="B53">Tian et al., 2024</xref>). On the other hand, under certain conditions, ULUC can raise the marginal cost of extensive land development, thereby inducing governments and enterprises to accelerate spatial redevelopment, industrial upgrading, and technological innovation (<xref ref-type="bibr" rid="B37">Liu et al., 2024</xref>). Through improvements in land use efficiency, the advancement of GI, and the optimization of factor allocation, these adjustments in turn foster enhancements in USP. Accordingly, the effect of ULUC on USP is not unidirectional, it is instead conditioned by the combined influence of multiple factors, including the stage of urban development, factor endowments, and the institutional environment.</p>
<p>It should be clarified that, in this study, ULUC is not understood as a normatively positive phenomenon, nor as an inherently destructive confrontation. Rather, ULUC is defined as a structural condition arising from the misalignment among competing land use demands, ecological constraints, and institutional arrangements during urban transformation. This concept is employed to capture persistent spatial tensions embedded in land allocation, industrial organization, and environmental governance, rather than overt or irreconcilable conflicts. Importantly, the analytical framework of this study is confined to situations in which land use conflicts remain within a manageable and governable range. When such conflicts become severe, rigid, and irreconcilable, they are more likely to trigger systemic inefficiencies or even institutional failure, rather than induce efficiency-enhancing adjustments. Accordingly, the potential positive effects discussed in this study should be understood as conditional outcomes that depend on effective governance responses, technological adaptation, and structural upgrading, rather than as intrinsic attributes of land use conflict itself.</p>
<p>In light of this, this study constructs a comprehensive analytical framework of &#x0201C;ULUC-GI-USP&#x0201D; based on resource scarcity theory and spatial equilibrium theory. Taking the YRB urban agglomeration as the study area, we employ fixed effects models, mediation effect tests, and moderation effect tests to reveal the mechanism through which ULUC influences USP. This study aims to address four pivotal questions: (1) What are the effects of ULUC on USP, and do these effects exhibit regional heterogeneity? (2) Does GI function as a mediating mechanism through which ULUC influences USP? (3) Do fiscal environmental expenditure (FEE) and green finance support (GFS) play moderating roles in the transmission channels linking ULUC to USP? (4) Does ISU generate a threshold effect within the mechanism through which ULUC affects USP?</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Theoretical framework and research hypotheses</title>
<p>Against the backdrop of rapid urban expansion and high density agglomeration of production factors, the scarcity of land resources and the rigidity of urban land supply have increasingly become key constraints on the quality of urban development (<xref ref-type="bibr" rid="B41">Mao et al., 2020</xref>; <xref ref-type="bibr" rid="B60">Wang et al., 2020</xref>). In the existing theoretical framework, resource scarcity theory is useful for explaining the constraining effects of inflexible land supply and spatial scarcity during urban expansion and for providing a theoretical basis to analyze the tension, under limited resource conditions, between increasing construction land demand and ecological space protection (<xref ref-type="bibr" rid="B12">De Bruijn and Antonides, 2022</xref>; <xref ref-type="bibr" rid="B67">Yang J. et al., 2022</xref>). At the same time, spatial equilibrium theory, by focusing on the cross regional mobility of production factors and the adjustment of spatial structures, elucidates the dynamic allocation mechanisms underlying urban development and provides important theoretical support for understanding how cities influence GI and USP through spatial reconfiguration and functional reallocation (<xref ref-type="bibr" rid="B21">Glaeser and Gottlieb, 2009</xref>). On this basis, the theoretical framework of this study treats land resource constraints as a crucial starting point for explaining the formation logic of ULUC, and regards spatial equilibrium adjustment as the key mechanism through which ULUC shapes the evolution of GI and USP. Accordingly, the framework constructs an analytical pathway that systematically reveals how, under binding land constraints, cities influence the coordinated efficiency of the economy, resources and the environment through factor reallocation, the strengthening of innovation activities and the adjustment of development patterns (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Theoretical framework and research hypotheses.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsufs-09-1753236-g0001.tif">
<alt-text content-type="machine-generated">A conceptual framework illustrating the relationships between urban land use conflict and urban sustainable productivity. The diagram shows both the direct effects (Hypotheses 1&#x02013;2) and the mechanism pathways (Hypotheses 3&#x02013;5) through which urban land use conflict affects sustainable productivity. Green innovation acts as a mediating variable, while fiscal environmental expenditure and green finance support function as moderating variables. In the threshold analysis (Hypothesis 6), industrial structure upgrading serves as a threshold variable conditioning the nonlinear impact of urban land use conflict on urban sustainable productivity.</alt-text>
</graphic>
</fig>
<sec>
<label>2.1</label>
<title>The direct effects and regional heterogeneity of ULUC on USP</title>
<p>Construction land, as the core spatial carrier of urban expansion, is characterized by rigid supply and high ecological sensitivity, which implies that urban development activities inevitably generate a long term and complex competitive relationship among construction demand, environmental carrying capacity and the provision of public services (<xref ref-type="bibr" rid="B30">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Ouyang et al., 2022</xref>). When the pace of construction land expansion exceeds the regenerative capacity of ecological space, or when spatial structural adjustment lags behind the growth of population and industrial demand, ULUC becomes manifest within the city. This conflict is reflected not only in the continuous encroachment of construction activities on available space, but also in the excessive land occupation by roads, infrastructure and production facilities, which undermines ecosystem functions, degrades environmental quality and disrupts spatial equilibrium. In this context, the combination of production factors, the structure of energy use and the efficiency of development are all significantly affected. As urban land supply becomes increasingly constrained, local governments and enterprises are compelled to reassess extensive, land consuming growth trajectories by upgrading the industrial structure toward more advanced and greener sectors, strengthening the spatial reorganization and fine grained allocation of different functional zones, and accelerating the emergence of an urban development model characterized by compact agglomeration, mixed land use and highly efficient connections (<xref ref-type="bibr" rid="B65">Xu et al., 2022</xref>). This strategic shift not only improves the spatial matching efficiency of production factors such as land, capital and labor, but also contributes to reducing energy consumption and environmental pressure, thereby providing stronger external discipline and sustained impetus for the formation, diffusion and consolidation of green production modes (<xref ref-type="bibr" rid="B76">Zhang et al., 2022</xref>). Therefore, ULUC may, under certain conditions, give rise to an &#x0201C;efficiency forcing effect&#x0201D; on USP, the net outcome of which depends on the intensity of land pressure, the stage of economic growth, the capacity of urban governance and the structure of the industrial base. Accordingly, the following hypothesis is proposed.</p>
<list list-type="simple">
<list-item><p>Hypothesis 1: ULUC has a significant positive impact on USP.</p></list-item>
</list>
<p>Moreover, the impact of ULUC on USP does not follow a uniform linear pattern across cities at different development stages and with different functional roles. Instead, it is shaped by structural disparities in land scarcity, factor agglomeration, environmental carrying capacity and the quality of governance systems, and thus exhibits pronounced regional differentiation (<xref ref-type="bibr" rid="B26">Jiang et al., 2025</xref>; <xref ref-type="bibr" rid="B76">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B77">Zhao et al., 2021</xref>). On the one hand, in mega cities and regional core cities, where construction intensity is high, land constraints are pronounced and ecological space is under increasing compression, urban development is more likely to encounter problems such as imbalances in land use structure, encroachment on ecological space and the accumulation of environmental pressures. However, their relatively strong industrial bases, greater technological capacity and more developed institutional arrangements enable these cities to mitigate the resource pressures generated by land use conflict. By optimizing spatial structure, promoting the redevelopment of existing land and accelerating the diffusion of green technologies, they are able to convert part of this pressure into a driving force for improving land use efficiency and advancing the greening of production modes. On the other hand, in small and medium sized cities, resource based cities and those located on the periphery of regional systems, a heavily industrialized economic structure, relatively underdeveloped infrastructure, and limited governance capacity and regulatory enforcement mean that land use conflict is more likely to manifest as extensive expansion, environmental degradation and resources misallocation, thereby exerting a more pronounced suppressing effect on USP. In light of these contents, this study advances the following research hypothesis.</p>
<list list-type="simple">
<list-item><p>Hypothesis 2: There are significant regional differences in the effect of ULUC on USP.</p></list-item>
</list>
</sec>
<sec>
<label>2.2</label>
<title>The mediating effect of GI</title>
<p>GI, as a central engine for transforming the development paradigm from factor driven to innovation driven growth, operates through technological and institutional arrangements such as energy conservation, emission reduction and resource recycling. By enhancing the efficiency of factor allocation and the environmental performance of production processes, GI facilitates a relative decoupling of economic growth from resource consumption and pollutant emissions, thereby serving as a critical nexus in reconciling economic expansion with ecological carrying capacity (<xref ref-type="bibr" rid="B49">Si et al., 2025</xref>; <xref ref-type="bibr" rid="B66">Yan et al., 2023</xref>). Under conditions of steadily rising construction intensity, tightening spatial supply and the progressive compression of ecological space, ULUC increases the marginal costs of extensive land development and of high energy consumption, high emission growth patterns. Consequently, in order to sustain economic growth and maintain competitive advantages, local governments and enterprises are compelled to ease land and environmental constraints by optimizing the land use structure, raising output per unit of land, and adopting clean technologies and green investment (<xref ref-type="bibr" rid="B39">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B54">Tian et al., 2025</xref>). This process of pressure transmission drives capital, technology and skilled labor to concentrate in industries and projects with stronger green attributes, thereby increasing the level of GI, which, through improved resource allocation efficiency and reduced energy and environmental costs, is ultimately translated into higher USP. Accordingly, GI can be regarded as a central mechanism through which ULUC influences USP. On the one hand, a moderate level of ULUC reinforces resource constraints and reshapes expectations, thereby stimulating GI; on the other hand, GI improves technological efficiency and environmental performance, partially internalizing land and spatial pressures into a driving force for transforming the development model. Drawing on these, this paper advances the following research hypothesis.</p>
<list list-type="simple">
<list-item><p>Hypothesis 3: GI plays a mediating role in the mechanism by which ULUC affects USP.</p></list-item>
</list>
</sec>
<sec>
<label>2.3</label>
<title>The moderating effects of FEE and GFS</title>
<p>As a major fiscal instrument for supporting ecological conservation and pollution abatement, FEE essentially strengthens environmental governance capacity and facilitates the internalization of external costs associated with emissions and extensive land development. This, in turn, induces enterprises and local authorities operating under binding land constraints to re-evaluate the payoff and risk profile of expansion oriented development, and to reorient spatial utilization, technology investment and industrial configuration toward modes that are more energy saving, intensive and low carbon (<xref ref-type="bibr" rid="B64">Xiong et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Zhou et al., 2025</xref>). In regions where fiscal expenditure on environmental protection is inadequate, ULUC tends to be reflected merely in spatial congestion and environmental degradation, without sufficient public financial support for pollution control and ecological restoration. Under such conditions, it is difficult to impose substantive constraints on firms&#x00027; technological choices and on governmental development patterns, and the negative effects of ULUC on USP are correspondingly less likely to be alleviated. By contrast, in regions with relatively high levels of FEE, public spending strengthens pollution control capacity, intensifies ecological restoration efforts and raises the opportunity cost of extensive, land hungry development. As a result, land use conflict and fiscal constraints interact in a mutually reinforcing manner, making it more likely that relevant actors will alleviate resource and environmental pressures through the adoption of green technologies, optimization of industrial structure and more economical, intensive land use practices, thereby weakening, and in some cases offsetting, the adverse impact of ULUC on USP. Accordingly, the following hypothesis is proposed.</p>
<list list-type="simple">
<list-item><p>Hypothesis 4: FEE plays a moderating role in the mechanism by which ULUC affects USP.</p></list-item>
</list>
<p>Through a range of financial instruments, including bank credit, bond financing and investment funds, GFS directs capital toward energy efficient, environmentally friendly, technologically innovative and ecologically restorative projects. This process substantively relaxes the financing constraints that green projects face and enhance the feasibility of such investments within a given risk return structure. Under tightening land constraints and intensifying environmental stress, GFS thus supplies the necessary capital base and market driven stimuli for a shift in the prevailing development pattern (<xref ref-type="bibr" rid="B23">Hou and Shi, 2024</xref>; <xref ref-type="bibr" rid="B75">Zhang, 2023</xref>). As the costs of urban construction land expansion rise and the negative externalities associated with traditional industries intensify, ULUC undermines the sustainability of extensive growth patterns (<xref ref-type="bibr" rid="B14">Deng and Zhang, 2025</xref>). The introduction of green finance, by improving capital allocation and strengthening credit support for green projects, encourages cities operating under binding land constraints to favor the development of green technologies, high value added industries and intensive land use models. As a result, it partially offsets the adverse productivity effects generated by conflict induced pressures and allowing innovation and efficiency gains to become new sources of growth under land constrained conditions. Based on the foregoing analysis, the following research hypothesis is proposed:</p>
<list list-type="simple">
<list-item><p>Hypothesis 5: GFS plays a moderating role in the mechanism by which ULUC affects USP.</p></list-item>
</list>
</sec>
<sec>
<label>2.4</label>
<title>The threshold effect of ISU</title>
<p>ISU operates by promoting the reallocation of production factors from low efficiency to high efficiency sectors, and by enhancing technological absorptive capacity, innovation efficiency, and resource use efficiency, fundamentally transforming the mode of urban growth under binding land, capital and environmental constraints (<xref ref-type="bibr" rid="B70">You and Zhang, 2022</xref>; <xref ref-type="bibr" rid="B78">Zheng et al., 2021</xref>). Against the backdrop of persistently tightening urban spatial supply, the stage of industrial structural development determines both a city&#x00027;s capacity to respond to ULUC and its ability to absorb the resulting constraint pressures (<xref ref-type="bibr" rid="B39">Ma et al., 2020</xref>). When the industrial structure is still at a low or middle stage, production activities rely heavily on the expansion of construction land and energy intensive inputs. Under such conditions, ULUC tends to aggravate factor misallocation, increase environmental burdens and raise resource costs, thereby suppressing improvements in USP. Once the industrial structure passes a certain developmental threshold and moves onto a more advanced trajectory, however, high technology industries and modern services exhibit marked advantages in resource use efficiency, pollution emissions and spatial land occupation. Cities can then draw on technological upgrading, industrial restructuring and spatial optimization to cushion the effects of land scarcity and environmental stress, thereby weakening, and potentially even reversing, the inhibitory impact of ULUC on USP. Taken together, ISU not only shapes the structural logic through which ULUC emerges, but also reshapes the strength and direction of the channels by which ULUC affects USP, causing their relationship to exhibit pronounced stage dependence. On this basis, the following research hypothesis is proposed.</p>
<list list-type="simple">
<list-item><p>Hypothesis 6: ISU has a significant threshold effect, that is, when the industrial structure crosses a certain development level, the impact of ULUC on USP will undergo obvious phased changes.</p></list-item>
</list>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Methods and materials</title>
<sec>
<label>3.1</label>
<title>Study area</title>
<p>As one of China&#x00027;s national strategic regions with the greatest comprehensive development potential, the YRB traverses the eastern, central, and western regions of the country, encompassing 11 provinces and municipalities along the river and accounting for roughly 20% of the national land area and about 40% of the country&#x00027;s total population and GDP (<xref ref-type="bibr" rid="B34">Liu et al., 2022</xref>). This region not only exhibits, in spatial terms, a gradient development pattern composed of upstream ecological barrier zones, midstream industrial load bearing areas, and downstream innovation hubs, but also displays pronounced regional heterogeneity and structural complexity in relation to urbanization dynamics, land resource reconfiguration, industrial transformation and upgrading, and green development constraints (<xref ref-type="bibr" rid="B56">Wang et al., 2025</xref>). However, against the combined backdrop of rapid economic expansion, accelerated urban spatial sprawl, and mounting ecological and environmental pressures in the YRB, ULUC has become particularly pronounced, GI capacity exhibits marked differentiation within the region, and USP is profoundly affected by binding resource and environmental constraints. Accordingly, this study takes the YRB as the research area, which makes it possible to identify spatial differences in the mechanisms of ULUC and GI within an integrated urban gradient system, while also assessing the applicability and universality of green development paths under conditions of high development intensity, severe resource constraints, and strong policy interventions. In this way, the analysis yields representative and transferable empirical evidence for promoting national level land use spatial optimization, green and low carbon transition, and coordinated regional development.</p>
</sec>
<sec>
<label>3.2</label>
<title>Variable specification and data sources</title>
<sec>
<label>3.2.1</label>
<title>Variable specification</title>
<p>To enhance the robustness and replicability of the empirical analysis, the variables are systematically defined, as shown in <xref ref-type="table" rid="T1">Table 1</xref>. In this study, the entropy method is employed to determine the weights and composite scores of USP, ULUC, and GI.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Variable settings and meanings.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables type</bold></th>
<th valign="top" align="left" colspan="2"><bold>Indicators setting</bold></th>
<th valign="top" align="left"><bold>Indicators&#x00027; meaning</bold></th>
<th valign="top" align="left"><bold>Direction</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">Dependent variable</td>
<td valign="top" align="left" rowspan="5">USP</td>
<td valign="top" align="left">GDP per capita</td>
<td valign="top" align="left">Average economic output level of urban residents</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">The contribution rate of the tertiary industry to GDP</td>
<td valign="top" align="left">The proportion of the service industry in the regional GDP</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">Electricity consumption per unit of GDP</td>
<td valign="top" align="left">The intensity of electricity consumption corresponding to unit output</td>
<td valign="top" align="left">-</td>
</tr>
 <tr>
<td valign="top" align="left">Carbon emission intensity</td>
<td valign="top" align="left">The level of carbon emissions per unit of output</td>
<td valign="top" align="left">-</td>
</tr>
 <tr>
<td valign="top" align="left">Per capita urban industrial wastewater discharge</td>
<td valign="top" align="left">The per capita industrial wastewater discharge carried by residents</td>
<td valign="top" align="left">-</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Independent variable</td>
<td valign="top" align="left" rowspan="4">ULUC</td>
<td valign="top" align="left">Urban population density</td>
<td valign="top" align="left">The degree of spatial agglomeration of urban population</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">The proportion of built up areas in cities</td>
<td valign="top" align="left">The proportion of built up area land in the total area of the city</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">Per capita road area</td>
<td valign="top" align="left">The per capita mileage of urban road land enjoyed</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">Urban green space ratio</td>
<td valign="top" align="left">The coverage level of ecological green spaces in the built up area</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Mediating variable</td>
<td valign="top" align="left" rowspan="3">GI</td>
<td valign="top" align="left">Green technological innovation</td>
<td valign="top" align="left">The number of patents for energy conservation and emission reduction technology research</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">Green investment</td>
<td valign="top" align="left">The amount of funds invested in environmental protection and green industries</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">Green bond issuance ratio</td>
<td valign="top" align="left">The proportion of green bonds in all bonds</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Moderating variables</td>
<td valign="top" align="left">FEE</td>
<td valign="top" align="left">The proportion of fiscal expenditure on environmental protection</td>
<td valign="top" align="left">The proportion of fiscal funds used for environmental protection expenditures</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="left">GFS</td>
<td valign="top" align="left">The proportion of environmental protection project credit</td>
<td valign="top" align="left">The amount of credit funds invested in environmental protection projects</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left">Threshold variable</td>
<td valign="top" align="center" colspan="2">ISU</td>
<td valign="top" align="left">The degree to which industries upgrade from low end to high end</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Control variables</td>
<td valign="top" align="center" colspan="2">TPUE</td>
<td valign="top" align="left">The proportion of urban employed population in the total population</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="center" colspan="2">PCFEPC</td>
<td valign="top" align="left">The average level of public financial input per resident by the regional government</td>
<td valign="top" align="left">&#x0002B;</td>
</tr>
 <tr>
<td valign="top" align="center" colspan="2">URIR</td>
<td valign="top" align="left">The ratio of the average income gap between urban and rural residents</td>
<td valign="top" align="left">-</td>
</tr>
<tr>
<td valign="top" align="center" colspan="2">TRGCPC</td>
<td valign="top" align="left">Per capita consumption level and market activity level</td>
<td valign="top" align="left">&#x0002B;</td>
</tr></tbody>
</table>
</table-wrap>
<sec>
<label>3.2.1.1</label>
<title>Dependent variable</title>
<p>USP is specified as the dependent variable and is intended to capture the multidimensional performance of cities with respect to the quality of economic growth, the efficiency of resource utilization and the degree of environmental friendliness (<xref ref-type="bibr" rid="B1">Balogun et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Spiliotopoulou and Roseland, 2022</xref>). This study adopts GDP per capita, the contribution rate of the tertiary industry to GDP, electricity consumption per unit of GDP, carbon emission intensity and per capita urban industrial wastewater discharge as core indicators. These indicators reflect the level of urban development from an economic output perspective while also revealing the resource and environmental constraints of the production process in terms of energy efficiency and pollution emissions, thereby enabling the construction of a productivity measurement system that simultaneously covers economic performance, ecological performance and sustainability attributes.</p>
</sec>
<sec>
<label>3.2.1.2</label>
<title>Independent variable</title>
<p>ULUC is specified as the core independent variable and captures the structural tensions among urban spatial expansion, growth of built up areas, population agglomeration and the compression of ecological space (<xref ref-type="bibr" rid="B69">Yang et al., 2023</xref>; <xref ref-type="bibr" rid="B81">Zhou et al., 2022</xref>). In this study, urban population density, the proportion of built up areas in cities, per capita road area and urban green space ratio are selected to construct a quantitative measure of conflict intensity along four dimensions, namely population pressure, the scale of construction land, land consumption by infrastructure and the share of ecological space. This composite indicator reveals the multidimensional conflict arising under conditions of limited land resources from imbalances between supply and demand, structural crowding and ecological encroachment.</p>
</sec>
<sec>
<label>3.2.1.3</label>
<title>Mediating variable</title>
<p>GI is introduced as a mediating variable to capture the capacity of cities, under resource and environmental constraints, to promote a green transformation of production through technological progress, green industrial investment and green financial instruments (<xref ref-type="bibr" rid="B6">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="B58">Wang, 2023</xref>). In this study, indicators of green technological innovation, green investment and green bond issuance ratio are selected to reflect, respectively, technological R&#x00026;D capacity, the orientation of capital allocation and the functioning of market based green financing mechanisms. On this basis, a three dimensional innovation system is constructed that reflects green factor inputs, green technology supply and green financing support, and is used to examine whether ULUC affects USP by stimulating GI.</p>
</sec>
<sec>
<label>3.2.1.4</label>
<title>Moderating variables</title>
<p>FEE and GFS are introduced as moderating variables to capture how the external institutional environment strengthens or attenuates the effect of ULUC on USP (<xref ref-type="bibr" rid="B71">Yu et al., 2023</xref>; <xref ref-type="bibr" rid="B74">Zhang et al., 2023</xref>). This study uses two indicators, namely the proportion of fiscal expenditure on environmental protection and the proportion of credit allocated to environmental protection projects. The former reflects the extent of fiscal regulatory pressure exerted by government in the field of environmental governance and indicates the intensity with which public spending is directed toward pollution control, ecological restoration and energy conservation and emission reduction. The latter reflects the degree to which the financial system tilts credit allocation in favor of green projects and indicates its capacity, at the capital level, to reinforce incentives for enterprises to undertake green transformation.</p>
</sec>
<sec>
<label>3.2.1.5</label>
<title>Threshold variable</title>
<p>This study employs ISU as a threshold variable to examine whether upgrading of the industrial structure induces stage specific differences in the relationship between ULUC and USP. As a key indicator of the transformation of regional economies from resource and labor intensive patterns toward technology intensive and service oriented structures, ISU not only reflects the extent of the shift from a low end to a high end industrial structure, but also reveals systematic differences across development stages in terms of technological absorptive capacity, factor matching efficiency and the ability to accommodate environmental constraints (<xref ref-type="bibr" rid="B31">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B62">Wang et al., 2023a</xref>). As the industrial structure steadily moves toward higher end forms, urban economic systems undergo marked changes in the speed of technological iteration, the intensity of innovation investment and the capacity to adapt to green modes of production. Consequently, the resource pressures generated by ULUC may be transmitted to USP through different mechanisms at different stages. Identifying possible threshold shifts in ISU within this process is therefore of considerable theoretical significance and explanatory value for understanding the nonlinear relationship between land constraints and urban sustainable development in the context of industrial upgrading.</p>
</sec>
<sec>
<label>3.2.1.6</label>
<title>Control variables</title>
<p>The control variables are introduced to prevent interference in the core relationships among the main variables arising from differences in socio-economic foundations, government capacity for public service provision, residents&#x00027; consumption levels and urban rural structures (<xref ref-type="bibr" rid="B7">Cheng and Liu, 2024</xref>; <xref ref-type="bibr" rid="B24">Huang and Lan, 2025</xref>). Collectively, the selected controls capture key dimensions of local development conditions, including labor market structure, fiscal capacity, income distribution, and consumption scale. These characteristics are closely associated with the local innovation environment and regulatory capacity, and thus reflect broader socio-economic and institutional conditions that may jointly influence GI and sustainable productivity. Specifically, this study adopts the proportion of urban employees (TPUE), per capita fiscal expenditure of prefecture level cities (PCFEPC), the urban rural income ratio (URIR) and total retail goods consumption per capita (TRGCPC) as control variables. These indicators are used to capture, respectively, the exogenous effects of urban employment structure, governmental governance capacity, urban rural development disparities and the scale of consumer demand. By filtering out the influences of population structure, fiscal capacity, income inequality and market demand, the benchmark regression model can more precisely identify the internal mechanism through which ULUC affects USP, thereby enhancing the robustness and scientific validity of the estimation results.</p>
</sec>
</sec>
<sec>
<label>3.2.2</label>
<title>Descriptive analysis of variables</title>
<p>According to the descriptive statistics reported in <xref ref-type="table" rid="T2">Table 2</xref>, the dependent variable USP has a mean of 0.351 and a standard deviation of 0.146, with values ranging from 0.122 to 0.932, indicating pronounced stratification in USP across the sample. The core explanatory variable ULUC has a mean of 0.104 and a standard deviation of 0.102, spanning from 0.012 to 0.882. This comparatively high dispersion suggests substantial cross city variation in the intensity of ULUC. Among the mechanism related variables, GI exhibits a low average level (mean = 0.031) but a high upper bound (maximum = 0.972, standard deviation = 0.057), implying that GI remains limited for most cities while a small subset achieves markedly higher performance. In addition, FEE (mean = 0.011, maximum = 0.260, standard deviation = 0.026) and GFS (mean = 0.049, maximum = 0.189, standard deviation = 0.020) reveal nontrivial heterogeneity in fiscal and financial support across cities. The threshold variable ISU has a mean of 1.051 and a standard deviation of 0.480, with a maximum of 6.383, reflecting considerable differences in the extent of industrial upgrading. With respect to the control variables, TPUE has a mean of 0.115 and reaches an upper bound of 0.801, while PCFEPC and TRGCPC display wide ranges (2,110.917&#x02013;42,530.6 and 2,430&#x02013;98,615.03, respectively); URIR varies between 1.489 and 4.465.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Descriptive analysis of variables.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Obs</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>Std. Dev</bold>.</th>
<th valign="top" align="center"><bold>Min</bold></th>
<th valign="top" align="center"><bold>Max</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">USP</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.3512241</td>
<td valign="top" align="center">0.1463129</td>
<td valign="top" align="center">0.1217093</td>
<td valign="top" align="center">0.9316388</td>
</tr>
<tr>
<td valign="top" align="left">ULUC</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.1040216</td>
<td valign="top" align="center">0.1017833</td>
<td valign="top" align="center">0.012186</td>
<td valign="top" align="center">0.8822779</td>
</tr>
<tr>
<td valign="top" align="left">GI</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.0311004</td>
<td valign="top" align="center">0.0571194</td>
<td valign="top" align="center">0.0002103</td>
<td valign="top" align="center">0.9723857</td>
</tr>
<tr>
<td valign="top" align="left">FEE</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.010849</td>
<td valign="top" align="center">0.0261848</td>
<td valign="top" align="center">0.0004667</td>
<td valign="top" align="center">0.2603335</td>
</tr>
<tr>
<td valign="top" align="left">GFS</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.0485464</td>
<td valign="top" align="center">0.0197793</td>
<td valign="top" align="center">0.0070501</td>
<td valign="top" align="center">0.1887857</td>
</tr>
<tr>
<td valign="top" align="left">ISU</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1.050518</td>
<td valign="top" align="center">0.4799201</td>
<td valign="top" align="center">0.3123685</td>
<td valign="top" align="center">6.383428</td>
</tr>
<tr>
<td valign="top" align="left">TPUE</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">0.1149488</td>
<td valign="top" align="center">0.0868643</td>
<td valign="top" align="center">0.0126543</td>
<td valign="top" align="center">0.8007548</td>
</tr>
<tr>
<td valign="top" align="left">PCFEPC</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">9,622.211</td>
<td valign="top" align="center">4,444.594</td>
<td valign="top" align="center">2,110.917</td>
<td valign="top" align="center">42,530.6</td>
</tr>
<tr>
<td valign="top" align="left">URIR</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">2.312041</td>
<td valign="top" align="center">0.4672877</td>
<td valign="top" align="center">1.489419</td>
<td valign="top" align="center">4.465141</td>
</tr>
<tr>
<td valign="top" align="left">TRGCPC</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">23,812.16</td>
<td valign="top" align="center">14,203.26</td>
<td valign="top" align="center">2,430</td>
<td valign="top" align="center">98,615.03</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<label>3.2.3</label>
<title>Data sources</title>
<p>In light of the research objectives, indicator availability, and data quality requirements, this study selects 110 prefecture level cities in the urban agglomeration of the middle reaches of the YRB for the period 2010&#x02013;2023 as the empirical sample and, on the basis of integrating multiple data sources, constructs indicator systems for ULUC, GI, and USP. The relevant data are drawn primarily from the National Bureau of Statistics and its public databases, statistical materials on urban rural construction and regional economic development, annual fiscal and science and technology statistical reports, municipal statistical yearbooks, and annual bulletins on national economic and social development issued by local governments. These authoritative sources ensure the continuity, reliability, and comparability of variable measurements, thereby providing a solid data foundation for the subsequent empirical analysis.</p>
</sec>
</sec>
<sec>
<label>3.3</label>
<title>Model specification</title>
<sec>
<label>3.3.1</label>
<title>Benchmark regression model</title>
<p>Fixed effects models control for unobserved, time invariant heterogeneity across units by absorbing it into unit specific intercepts. They exploit within unit variation over time to identify the net effect of the explanatory variables on the dependent variable, thereby mitigating omitted variable bias and yielding more reliable causal estimates (<xref ref-type="bibr" rid="B4">Breuer and DeHaan, 2024</xref>; <xref ref-type="bibr" rid="B16">Dettori et al., 2022</xref>). On this basis, this study constructs the following fixed effects model to analyse the impact of ULUC on USP:</p>
<disp-formula id="EQ1"><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BC;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(1)</label></disp-formula>
<p>Where i and t index the province (region or municipality) and year, respectively; <italic>Y</italic><sub><italic>it</italic></sub> is USP; <italic>X</italic><sub><italic>it</italic></sub> is ULUC; <italic>control</italic><sub><italic>it</italic></sub> denotes the control variables; &#x003B2;<sub>0</sub> &#x0007E; &#x003B2;<sub>2</sub> are parameters to be estimated; &#x003BC;<sub><italic>i</italic></sub> and &#x003B4;<sub><italic>t</italic></sub> are province and year fixed effects; and &#x003B5;<sub><italic>it</italic></sub> is the stochastic error term.</p>
</sec>
<sec>
<label>3.3.2</label>
<title>Mediation effect model</title>
<p>To examine whether GI exerts a mediating effect in the mechanism through which ULUC influences USP, this study follows the approach of (<xref ref-type="bibr" rid="B2">Baron and Kenny 1986</xref>) and applies the three step procedure for mediation testing. The models are specified as follows:</p>
<disp-formula id="EQ2"><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BC;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(2)</label></disp-formula>
<disp-formula id="EQ3"><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>M</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BC;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(3)</label></disp-formula>
<disp-formula id="EQ4"><mml:math id="M4"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>M</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BC;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(4)</label></disp-formula>
<p>Where <italic>Y</italic><sub><italic>it</italic></sub> represents USP, <italic>M</italic><sub><italic>it</italic></sub> represents GI, <italic>X</italic><sub><italic>it</italic></sub> denotes ULUC, and <italic>control</italic><sub><italic>it</italic></sub> is the vector of control variables; &#x003B1;<sub>0</sub>, &#x003B4;<sub>0</sub>, and &#x003B3;<sub>0</sub> are constant terms; &#x003B1;<sub>1</sub> and &#x003B3;<sub>1</sub> capture the effect of ULUC on USP; &#x003B4;<sub>1</sub> captures the effect of ULUC on GI; &#x003B3;<sub>2</sub> captures the effect of GI on USP; &#x003B1;<sub>2</sub>, &#x003B4;<sub>2</sub>, and &#x003B3;<sub>3</sub> are the coefficients on the control variables; and &#x003B5;<sub>0</sub>, &#x003B5;<sub>1</sub>, and &#x003B5;<sub>2</sub> are stochastic error terms.</p>
</sec>
<sec>
<label>3.3.3</label>
<title>Moderating effect model</title>
<p>Moderation effect model introduces interaction terms between the independent variable and the moderating variable into the regression equation in order to test whether the moderator alters the direction or magnitude of the independent variable&#x00027;s impact on the dependent variable. In this way, it reveals how the relationship varies across different contexts and enables a more informative identification of heterogeneous mechanisms (<xref ref-type="bibr" rid="B5">Busenbark et al., 2022</xref>). To examine the moderating roles of FEE and GFS in the effect of ULUC on USP, this study specifies the following moderating regression model:</p>
<disp-formula id="EQ5"><mml:math id="M5"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:msub><mml:mrow><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BC;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B4;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(5)</label></disp-formula>
<p>Where <italic>W</italic><sub><italic>it</italic></sub> denotes FEE or GFS, and <italic>X</italic><sub><italic>it</italic></sub> &#x000B7; <italic>W</italic><sub><italic>it</italic></sub> represents the interaction term.</p>
</sec>
<sec>
<label>3.3.4</label>
<title>Threshold effect model</title>
<p>Threshold effect model partitions the sample endogenously into different structural regimes according to the value ranges of a threshold variable, and estimates the coefficients of the independent variable on the dependent variable separately for each regime. This approach makes it possible to identify whether the relationship exhibits significant piecewise nonlinearity at different stages of development and to reveal stage specific differences in the underlying mechanisms as structural conditions change (<xref ref-type="bibr" rid="B59">Wang, 2015</xref>). To examine whether the impact of ULUC on USP varies with the level of ISU, this study specifies the following panel threshold model:</p>
<disp-formula id="EQ6"><mml:math id="M7"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>&#x003B1;</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>I</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x02264;</mml:mo><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>I</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0003E;</mml:mo><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>&#x0002B;</mml:mo><mml:mi>&#x003B4;</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>u</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003BB;</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B5;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(6)</label></disp-formula>
<p>Where <italic>i</italic> and <italic>t</italic> denote the city and year, respectively; <italic>I</italic>(&#x000B7;) denotes an indicator function, where <italic>I</italic>(<italic>Q</italic><sub><italic>it</italic></sub> &#x02264; &#x003B3;) and <italic>I</italic>(<italic>Q</italic><sub><italic>it</italic></sub> &#x0003E; &#x003B3;) indicate the two regimes defined by the threshold &#x003B3;. &#x003B3; is the threshold value to be estimated; <italic>control</italic><sub><italic>it</italic></sub> is the vector of control variables; <italic>u</italic><sub><italic>i</italic></sub> and &#x003BB;<sub><italic>t</italic></sub> represent city fixed effects and time effects, respectively. By testing whether &#x003B2;<sub>1</sub> and &#x003B2;<sub>2</sub> differ significantly, it is possible to identify whether the direction and magnitude of the impact of ULUC on USP exhibit pronounced piecewise structural characteristics across different stages of industrial structure.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s4">
<label>4</label>
<title>Results</title>
<sec>
<label>4.1</label>
<title>The direct impact of ULUC on USP</title>
<sec>
<label>4.1.1</label>
<title>Benchmark regression analysis</title>
<p>To determine whether a fixed effects model or a random effects model is more suitable, this study initially applies the Hausman test to the panel dataset. The test yields chi<sup>2</sup>(4) = 30.8, which is significant at the 1% level, thereby rejecting the null hypothesis supporting the random effects specification and implying that the fixed effects model provides the more appropriate estimation framework. On this basis, the study estimates fixed effects models under three specifications, individual fixed effects, time fixed effects, and two way individual and time fixed effects (<xref ref-type="table" rid="T3">Table 3</xref>). The two way fixed effects model yields an R<sup>2</sup> of 0.974, which is clearly higher than that of the model with only individual fixed effects (R<sup>2</sup> = 0.960) and the model with only time fixed effects (R<sup>2</sup> = 0.899). This indicates that, once both unobservable regional characteristics and year specific shocks are simultaneously controlled for, the model provides the best fit for USP. Accordingly, the subsequent analysis in this study is primarily based on the results of the two way fixed effects specification.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Results of the benchmark regression model.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Individual fixed</bold></th>
<th valign="top" align="center"><bold>Time fixed</bold></th>
<th valign="top" align="center"><bold>Individual and time fixed</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.332<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.339<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.008)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.188<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.118<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.134<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.078)</td>
<td valign="top" align="center">(0.029)</td>
<td valign="top" align="center">(0.061)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">&#x02212;0.001</td>
<td valign="top" align="center">0.023<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.043<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.023<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">&#x02212;0.009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.0723<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.086<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left">Individual fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Time fixed</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.960</td>
<td valign="top" align="center">0.899</td>
<td valign="top" align="center">0.974</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
<p>In the fixed effects specification that simultaneously includes individual and time fixed effects, the estimated coefficient of ULUC is 0.134 and significantly positive at the 5% level. This indicates that, ceteris paribus, an intensification of ULUC is significantly positively associated with improvements in USP. This result departs from the conventional view that &#x0201C;conflict suppresses development&#x0201D; and instead suggests that, under conditions of tight land resource constraints and increasing ecological pressure, cities accelerate land use restructuring and green transition through a forcing mechanism, thereby, to some extent, transforming spatial pressure into a driving force for enhancing production efficiency and environmental performance. Furthermore, among the control variables, the coefficients of PCFEPC and TRGCPC are 0.014 and 0.047, respectively, both of which are significantly positive at the 1% level, indicating that stronger fiscal expenditure capacity and expanding consumption demand help to enhance urban economic vitality and the provision of public services, thereby improving USP. The coefficient of URIR is 0.016 and likewise significantly positive at the 1% level, suggesting that improvements in the income structure and consumption upgrading exert a promoting effect on USP. By contrast, the coefficient of TPUE is not statistically significant, implying that, once region specific and time invariant factors are fully controlled for, changes in the employment structure have a relatively limited marginal impact on USP. Overall, the baseline regression results support the basic judgement that there is a significant positive association between ULUC and USP, thereby confirming Hypothesis 1.</p>
</sec>
<sec>
<label>4.1.2</label>
<title>Robustness tests of benchmark regression</title>
<p>To verify the robustness of the benchmark regressions, a set of robustness tests is implemented by adjusting both the sample structure and the time dimension. Specifically, (i) the municipalities of Shanghai and Chongqing are excluded to prevent the extreme features of megacities in resource endowments and institutional settings from biasing the estimates; (ii) two pandemic related years are removed to reduce the impact of COVID-19 induced abnormal shocks on the variables; and (iii) the sample is split into two periods, 2011&#x02013;2016 and 2017&#x02013;2023, with stage specific models estimated separately to assess whether the results are consistent across different phases of development. As shown in <xref ref-type="table" rid="T4">Table 4</xref>, ULUC retains a positive regression coefficient that is statistically significant at the 10% level across all alternative specifications, including those excluding Chongqing, Shanghai, and the pandemic years, as well as those estimated separately for the two temporal phases. The magnitude of the coefficient lies between 0.119 and 0.290, which indicates that the baseline regression findings are robust to changes in sample composition and periodization. Moreover, the R<sup>2</sup> statistics of all models exceed 0.973, implying that the explanatory capacity of the specifications for USP remains high and that the reconfiguration of the sample does not substantially impair the goodness of fit. Overall, the persistent sign and significance level of the ULUC coefficient confirm the robustness of the baseline conclusion that ULUC exerts a positive effect on USP.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Robustness test results.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Excluding the municipalities of Shanghai and Chongqing</bold></th>
<th valign="top" align="center"><bold>Excluding two years of data related to the COVID-19 pandemic</bold></th>
<th valign="top" align="center"><bold>Phased run (2011&#x02013;2016)</bold></th>
<th valign="top" align="center"><bold>Phased run (2017&#x02013;2023)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.338<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.328<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.294<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.371<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.008)</td>
<td valign="top" align="center">(0.019)</td>
<td valign="top" align="center">(0.008)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.119<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.141<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.290<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.134<sup>&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.063)</td>
<td valign="top" align="center">(0.073)</td>
<td valign="top" align="center">(0.152)</td>
<td valign="top" align="center">(0.069)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.012<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.012<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.005)</td>
<td valign="top" align="center">(0.004)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.001</td>
<td valign="top" align="center">0.026<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.005)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.046<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.048<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.066<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.041<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.007)</td>
<td valign="top" align="center">(0.004)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,512</td>
<td valign="top" align="center">1,320</td>
<td valign="top" align="center">770</td>
<td valign="top" align="center">880</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.983</td>
<td valign="top" align="center">0.977</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;</sup>p &#x0003C; 0.1, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>4.1.3</label>
<title>Endogeneity test of benchmark regression</title>
<p>Considering that reverse causality and omitted variables may give rise to endogeneity between ULUC and USP, Two-Stage Least Squares is employed to perform an instrumental variable test, using ULUC lagged by one period as the instrument to assess endogeneity risk (<xref ref-type="table" rid="T5">Table 5</xref>). In theoretical terms, lagged ULUC is expected to be strongly correlated with contemporaneous ULUC, while it is unlikely to exert a direct effect on current USP, thereby fulfilling the relevance and exogeneity conditions required of a valid instrumental variable. In the first stage regression, the coefficient on ULUC lagged one period is 1.013, significantly positive at the 1% level, and the weak instrument F statistic equals 1,024.16, far exceeding the benchmark value of 10, which confirms strong instrument relevance and rules out weak instrument bias. In the second stage, the estimated coefficient of ULUC on USP is 0.144 and remains significantly positive at the 1% level, indicating that the positive effect of ULUC on USP is preserved after addressing potential endogeneity. Overall, the results suggest that endogeneity does not materially distort the estimated impact of ULUC on USP and thus reinforce the reliability of the baseline regression findings.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Endogeneity test results.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>The first stage</bold></th>
<th valign="top" align="center"><bold>The second stage</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>ULUC</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.513<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.014)</td>
<td valign="top" align="center">(0.031)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC lagged by one period</td>
<td valign="top" align="center">1.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="center">(0.017)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">&#x02212;0.001</td>
<td valign="top" align="center">&#x02212;0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.001)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">&#x02212;0.001</td>
<td valign="top" align="center">0.015<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">&#x02212;0.001</td>
<td valign="top" align="center">0.043<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td/>
<td valign="top" align="center">0.144<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">(0.037)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,430</td>
<td valign="top" align="center">1,430</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.990</td>
<td valign="top" align="center">0.976</td>
</tr>
<tr>
<td valign="top" align="left">Wald test (P)</td>
<td/>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Weak instrument test(F)</td>
<td valign="top" align="center">1,024.16</td>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;</sup>p &#x0003C; 0.1, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec>
<label>4.2</label>
<title>Heterogeneity analysis of the YRB</title>
<p>Following the official classification of the YRB, cities in the sample are divided into upper, middle, and lower reaches according to their geographical location along the main stream of the YRB<xref ref-type="fn" rid="fn0003"><sup>1</sup></xref>. As shown by the heterogeneity analysis in <xref ref-type="table" rid="T6">Table 6</xref>, the impact of ULUC on USP displays clear spatial heterogeneity. Specifically, in the upper reaches of the YRB, the coefficient of ULUC is 0.359 and significantly positive at the 1% level, indicating that in upstream cities where resource and environmental constraints are relatively pronounced and the industrial structure remains in a transitional stage, tight land constraints may, through a forcing mechanism, promote improvements in spatial utilization efficiency, industrial restructuring, and the diffusion of green production modes, thereby significantly enhancing USP. However, in the middle and lower reaches, the coefficients of ULUC are &#x02212;0.018 and 0.119, respectively, and both are statistically insignificant. This suggests that the impact of conflict on USP in these two subregions is characterized by &#x0201C;effect offset&#x0201D; and &#x0201C;pressure attenuation&#x0201D;. From a structural perspective, cities in the middle and lower reaches are generally at more advanced stages of industrial upgrading, where the marginal productivity gains from further land use tightening tend to diminish. In addition, relatively stronger fiscal capacity and infrastructure endowments in these regions enable local governments to buffer land scarcity through stock land redevelopment and inter regional factor reallocation, thereby weakening the disciplining effect of land use conflict on USP. Moreover, heterogeneity in local governance capacity and regulatory enforcement may also contribute to the insignificant coefficients, as land use conflicts in some localities are not fully internalized into binding constraints on production modes or GI incentives. This does not imply the absence of land use conflict in these regions, but rather indicates that its potential effects on USP are mediated or attenuated by region specific structural and institutional conditions. These results provide empirical support for Hypothesis 2.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Heterogeneity analysis results of the YRB.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>The upper reaches of the YRB</bold></th>
<th valign="top" align="center"><bold>The middle reaches of the YRB</bold></th>
<th valign="top" align="center"><bold>The lower reaches of the YRB</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.344<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.335<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.284<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.015)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.009)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.359<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.018</td>
<td valign="top" align="center">0.119</td>
</tr>
 <tr>
<td valign="top" align="center">(0.112)</td>
<td valign="top" align="center">(0.071)</td>
<td valign="top" align="center">(0.121)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.008<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.035<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.007)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.015<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.021<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.005</td>
</tr>
 <tr>
<td valign="top" align="center">(0.005)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.004)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.012<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.015<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.005)</td>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.039<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.055<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.033<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.004)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left">Individual fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Time fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">N</td>
<td valign="top" align="center">574</td>
<td valign="top" align="center">504</td>
<td valign="top" align="center">462</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0.966</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>4.3</label>
<title>Mechanism analysis</title>
<sec>
<label>4.3.1</label>
<title>Analysis of the mediating effect of GI</title>
<p>The mediation effect model is employed to examine whether GI plays a potential mediating role in the impact of ULUC on USP. As shown in <xref ref-type="table" rid="T7">Table 7</xref>, when GI is taken as the dependent variable, the coefficient on ULUC is 0.263 and significantly positive at the 1% level, indicating that ULUC significantly improves the level of GI. The empirical results point to a forcing effect of stringent land constraints and increasing development intensity on urban investment in green technologies and innovations in energy conservation and emission reduction. In the third model, where USP is treated as the dependent variable, the coefficient on GI is 0.081 and statistically significant at the 5% level. This finding indicates that GI exerts a significant positive effect on USP, the more a city invests in green technology research and development, energy saving and emission reduction innovation, and cleaner production, the more significant in the synchronous improvement of economic efficiency and environmental performance. Thus, the results suggest that GI plays a mediating role in the relationship between ULUC and USP.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Regression results of mediating variables.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
<th valign="top" align="center"><bold>GI</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.009)</td>
<td valign="top" align="center">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.134<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.263<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.113<sup>&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.061)</td>
<td valign="top" align="center">(0.085)</td>
<td valign="top" align="center">(0.059)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x02212;0.002</td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.001)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.015<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.021<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.045<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GI</td>
<td/>
<td/>
<td valign="top" align="center">0.081<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">(0.041)</td>
</tr>
<tr>
<td valign="top" align="left">N</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">0.855</td>
<td valign="top" align="center">0.975</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
<p>To verify the robustness of the mechanism effect results, this study employs a Bootstrap procedure to test the mediating effect of GI, drawing 5,000 resamples with replacement. As shown in <xref ref-type="table" rid="T8">Table 8</xref>, the estimated mediation effect based on the 5,000 bootstrap replications is &#x02212;0.066 and is statistically significant at the 1% level. The corresponding 95% confidence interval is [&#x02212;0.112, &#x02212;0.021], which does not include 0, indicating that GI exerts a significant mediating effect in the process through which ULUC affects USP, thereby confirming Hypothesis 3.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Bootstrap test results for mediation effects.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Mediating variables</bold></th>
<th valign="top" align="center"><bold>Mediation effect</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>Lower limit of 95% confidence interval</bold></th>
<th valign="top" align="center"><bold>Upper limit of 95% confidence interval</bold></th>
<th valign="top" align="center"><bold>Test results</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ULUC &#x02192; GI &#x02192; USP</td>
<td valign="top" align="center">&#x02212;0.066<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">&#x02212;0.112</td>
<td valign="top" align="center">&#x02212;0.021</td>
<td valign="top" align="center">Established</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>4.3.2</label>
<title>Analysis of the moderating effects of FEE and GFS</title>
<p>By incorporating FEE and GFS into the model, the analysis is designed to test whether distinct environmental policy instruments are capable of reinforcing or weakening the resource constraint pressures generated by land use conflict, and thus affecting how efficiently such conflict is transformed into momentum for green development. According to <xref ref-type="table" rid="T9">Tables 9</xref>, <xref ref-type="table" rid="T10">10</xref>, the estimated coefficient on the interaction term &#x0201C;FEE &#x000D7; ULUC&#x0201D; equals 0.016 and is positive and significant at the 5% level. This result suggests that FEE exerts a statistically significant positive moderating effect on the relationship between ULUC and USP, such that the beneficial influence of ULUC on USP is strengthened as FEE increases. In other words, higher FEE causes land scarcity, effectively driving cities toward more efficient, low carbon, and intensive production patterns, thereby bolstering sustainable productivity. Furthermore, the coefficient of the interaction term &#x0201C;GFS &#x000D7; ULUC&#x0201D; is 0.032 and significantly positive at the 1% level, indicating that GFS exerts a significant positive moderating effect on the impact of ULUC on USP. In cities with higher levels of GFS, ULUC is therefore more easily transformed into a driving force for enhancing GI and USP, and its positive effect is markedly amplified. Overall, FEE and GFS both exhibit strengthening moderation effects, amplifying the green development impetus arising from ULUC and enhancing the efficiency with which conflict is converted into improvements in USP, thereby confirming Hypotheses 4 and 5.</p>
<table-wrap position="float" id="T9">
<label>Table 9</label>
<caption><p>Results of the moderating effect of FEE.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.338<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.007)</td>
<td valign="top" align="center">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.134<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.136<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.122<sup>&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.061)</td>
<td valign="top" align="center">(0.062)</td>
<td valign="top" align="center">(0.062)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">FEE</td>
<td/>
<td valign="top" align="center">&#x02212;0.005</td>
<td valign="top" align="center">&#x02212;0.009<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.003)</td>
<td valign="top" align="center">(0.005)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">FEE &#x000D7; ULUC</td>
<td/><td/>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/><td/>
<td valign="top" align="left">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left">Individual fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Time fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">0.975</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T10">
<label>Table 10</label>
<caption><p>Results of the moderating effect of GFS.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.337<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.340<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.006)</td>
<td valign="top" align="center">(0.006)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">ULUC</td>
<td valign="top" align="center">0.134<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.132<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.100<sup>&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.061)</td>
<td valign="top" align="center">(0.062)</td>
<td valign="top" align="center">(0.056)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.016<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.047<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.046<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.045<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
<td valign="top" align="center">(0.003)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GFS</td>
<td/>
<td valign="top" align="center">&#x02212;0.002</td>
<td valign="top" align="center">&#x02212;0.005<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.001)</td>
<td valign="top" align="center">(0.001)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GFS &#x000D7; ULUC</td>
<td/><td/>
<td valign="top" align="center">0.032<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/><td/>
<td valign="top" align="left">(0.011)</td>
</tr>
<tr>
<td valign="top" align="left">Individual fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Time fixed</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
<td valign="top" align="center">1,540</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">0.975</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec>
<label>4.4</label>
<title>Analysis of the threshold effect of ISU</title>
<p>To determine the appropriate specification of the threshold model, this study first performs a full sample threshold effect model test, using the F and <italic>p</italic>-values generated by the Bootstrap method to infer the number of thresholds in the model. As shown in <xref ref-type="table" rid="T11">Table 11</xref>, when ISU is used as the threshold variable for USP, the null hypothesis of no threshold is rejected in favor of a single threshold model at the 1% significance level, whereas the double threshold test is not significant. The analysis therefore adopts a single threshold specification. Furthermore, as shown in <xref ref-type="table" rid="T12">Table 12</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref>, the estimated threshold value for the single threshold model is 0.7945, with a 95% confidence interval of [0.7891, 0.7958], indicating that the impact of ULUC on USP changes significantly when the ISU level reaches 0.7945.</p>
<table-wrap position="float" id="T11">
<label>Table 11</label>
<caption><p>Threshold test results.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Threshold quantity</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>F</italic></bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>P</italic></bold></th>
<th valign="top" align="center" rowspan="2"><bold>Bootstrap times</bold></th>
<th valign="top" align="center" colspan="3"><bold>Critical value</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>1%</bold></th>
<th valign="top" align="center"><bold>5%</bold></th>
<th valign="top" align="center"><bold>10%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Single threshold model</td>
<td valign="top" align="center">85.32<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">35.150</td>
<td valign="top" align="center">43.697</td>
<td valign="top" align="center">56.429</td>
</tr>
<tr>
<td valign="top" align="left">Double threshold model</td>
<td valign="top" align="center">23.94</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">32.792</td>
<td valign="top" align="center">39.607</td>
<td valign="top" align="center">57.015</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T12">
<label>Table 12</label>
<caption><p>Threshold estimates and confidence intervals.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Threshold model</bold></th>
<th valign="top" align="left"><bold>Threshold value</bold></th>
<th valign="top" align="center" colspan="2"><bold>95% confidence interval</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Single threshold model</td>
<td valign="top" align="center">0.7945</td>
<td valign="top" align="center">0.7891</td>
<td valign="top" align="center">0.7958</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Double threshold model</td>
<td valign="top" align="center">0.7679</td>
<td valign="top" align="center">0.7577</td>
<td valign="top" align="center">0.7732</td>
</tr>
<tr>
<td valign="top" align="center">0.9489</td>
<td valign="top" align="center">0.9084</td>
<td valign="top" align="center">0.9519</td>
</tr></tbody>
</table>
</table-wrap>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Single threshold estimate and confidence interval.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsufs-09-1753236-g0002.tif">
<alt-text content-type="machine-generated">Line graph showing the LR statistics across the first threshold. The LR statistic reaches a pronounced minimum at a threshold value of approximately 0.7945, falling below the horizontal dashed line at zero, and then increases and stabilizes above 80 thereafter.</alt-text>
</graphic>
</fig>
<p>After determining the single threshold value, the parameters are estimated, and the results are reported in <xref ref-type="table" rid="T13">Table 13</xref>. When ISU remains below 0.7945, indicating that the industrial structure has not yet reached a relatively advanced stage, the estimated coefficient of ULUC on USP is 0.017 and statistically insignificant, suggesting that the influence of ULUC on USP is limited at lower levels of industrial upgrading. At this stage, urban economies tend to rely heavily on land- and resource-intensive industries, while technological spillovers and factor reallocation mechanisms are not yet sufficiently mature. Under such circumstances, land use conflict primarily operates as a constraint, rather than as an effective stimulus for efficiency improvement or green transformation. By contrast, once ISU reaches or exceeds 0.7945, the coefficient of ULUC on USP rises to 0.191 and becomes statistically significant at the 1% level, indicating that a higher degree of industrial upgrading markedly amplifies the positive effect of ULUC on USP. At this point, the industrial structure shifts toward technology and knowledge intensive sectors, with production processes relying less on extensive land inputs and more on innovation, human capital, and organizational efficiency. In this context, land use conflict is increasingly internalized as a disciplinary mechanism that fosters GI and enhances overall production efficiency. Accordingly, the estimated threshold reflects a qualitative transformation in the role of land constraints, from a limiting condition to a catalyst for sustainable urban productivity. This finding provides an important theoretical basis for policy-making, indicating that advancing the sophistication of the industrial structure can effectively alleviate land resource constraints and promote high quality improvements in urban sustainable development.</p>
<table-wrap position="float" id="T13">
<label>Table 13</label>
<caption><p>Estimation results of the single threshold regression model.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>USP</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.262<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.005)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TPUE</td>
<td valign="top" align="center">0.001</td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PCFEPC</td>
<td valign="top" align="center">0.014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">URIR</td>
<td valign="top" align="center">0.013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">TRGCPC</td>
<td valign="top" align="center">0.045<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.002)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">(ISU &#x0003C; 0.7945)</td>
<td valign="top" align="center">0.017</td>
</tr>
 <tr>
<td valign="top" align="center">(0.034)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">.X(ISU &#x02265; 0.7945)</td>
<td valign="top" align="center">0.191<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="center">(0.032)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">1,540</td>
</tr>
<tr>
<td valign="top" align="left">R<sup>2</sup></td>
<td valign="top" align="center">0.932</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>All values are reported with three decimal place; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;</sup>p &#x0003C; 0.1.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<label>5</label>
<title>Discussion</title>
<sec>
<label>5.1</label>
<title>The direct impact and regional differences of ULUC on USP</title>
<p>This study identifies a significant positive association between ULUC and USP. Under conditions of increasingly tight land resource constraints and rising ecological pressure, cities are compelled to adjust their land use structures and advance green transformation, thereby, to some extent, converting spatial stress into a driving force for improving production efficiency and environmental performance. In theoretical terms, this conclusion diverges from the conventional view that land use conflict restricts economic growth and diminishes social welfare (<xref ref-type="bibr" rid="B17">Ding and Lichtenberg, 2011</xref>; <xref ref-type="bibr" rid="B40">Mahtta et al., 2022</xref>). In addition, from the perspective of regional heterogeneity, the impact of ULUC on USP exhibits marked spatial variation across different areas. In the upper reaches of the YRB, the positive association between ULUC and USP is particularly pronounced, indicating that resource constraints and industrial transformation have prompted upstream cities to respond more actively in pursuing green development. By contrast, economic development in the middle reaches continues to rely on high consumption industrial transformation, while in the lower reaches the industrial structure is relatively more advanced; however, in neither region has the negative impact of ULUC been effectively converted into a driving force for green transition. This finding suggests that urban land management policies could be flexibly and adaptively adjusted at different stages and under different contextual conditions in order to respond to evolving environmental pressures and developmental needs.</p>
</sec>
<sec>
<label>5.2</label>
<title>The impact mechanism of GI and environmental policy support</title>
<p>GI plays a mediating role in the effect of ULUC on USP. ULUC significantly promotes improvements in the level of GI, which subsequently enhances USP. This mechanism is consistent with the argument that environmental pressure induces policy innovation by urban governments. Under conditions of tight land constraints and rising ecological stress, such pressures stimulate technological progress, industrial upgrading, and GI, thereby enhancing cities&#x00027; capacity to address environmental challenges (<xref ref-type="bibr" rid="B51">Sperling and Arler, 2020</xref>; <xref ref-type="bibr" rid="B72">Zeng et al., 2022</xref>). Moreover, the moderation analysis highlights the roles of FEE and GFS in shaping the impact of ULUC on USP. By increasing financial resources devoted to green technology R&#x00026;D and improving the market responsiveness of GI, FEE and GFS strengthen the extent to which the resource scarcity signals transmitted by ULUC are converted into effective drivers of development. In cities with relatively strong GFS, land use conflict is particularly prone to being transformed into a force that promotes both GI and USP. The moderating effects of GFS and FEE strengthen the efficiency with which land use conflict is converted into a driving force for green development, underscoring the critical role of policy instruments in advancing the green transition. This finding is highly consistent with the arguments of (<xref ref-type="bibr" rid="B48">Shen et al. 2020</xref>) and (<xref ref-type="bibr" rid="B25">Islam 2025</xref>), who emphasize the importance of environmental policy tools in promoting sustainable development and GI.</p>
</sec>
<sec>
<label>5.3</label>
<title>The threshold effect of industrial structure upgrading</title>
<p>ISU exhibits a pronounced threshold effect in the relationship between ULUC and USP. When the industrial structure remains at a relatively low level, the impact of ULUC on USP is weak and statistically insignificant, indicating that, in the absence of sufficient structural optimization, land use conflict has not yet been effectively transformed into a driving force for GI and improvements in resource use efficiency. However, as the industrial structure becomes more advanced, the impact of ULUC on USP strengthens markedly and exhibits a pronounced positive effect. This finding confirms the crucial role of industrial structure optimization in alleviating land resource constraints, promoting GI, and enhancing USP. According to the threshold model, the critical value of ISU is 0.7945. This indicates that once the ISU level reaches this benchmark, the negative effect of ULUC is substantially attenuated and is transformed into a positive driving force. This result provides a strong theoretical basis for policymakers and underscores the importance of raising the level of ISU in order to promote green development and high quality urban development.</p>
</sec>
<sec>
<label>5.4</label>
<title>Research contributions and limitations</title>
<p>This study advances the existing literature along three principal dimensions. Firstly, it moves beyond the conventional perspective by arguing that ULUC is not merely a negative constraint on productivity, but can, under certain conditions, operate as an external source of pressure that drives GI and the optimization of urban spatial structure. Secondly, it introduces GI and environmental policy instruments as key mechanism variables, thereby broadening understanding of the channels through which land use conflict exerts its effects and providing a new analytical lens for the design of green development policies. Thirdly, through threshold effect analysis, it reveals the critical role of ISU in shaping the impact of ULUC, offering a theoretical basis for policy formulation.</p>
<p>However, despite the theoretical relevance and empirical value of this study, several aspects merit further refinement. Firstly, the empirical investigation focuses on urban agglomerations in the YRB. While this region is highly representative, the general applicability of the findings still needs to be further tested, particularly in areas differ in terms of economic development level and resource endowments. Secondly, the analysis does not fully incorporate the potential influence of external shocks, such as global pandemics and international economic fluctuations, on the relationship between ULUC and USP. Future research could extend the present framework by explicitly examining this relationship under scenarios shaped by major external shocks.</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Conclusions and policy implications</title>
<sec>
<label>6.1</label>
<title>Conclusions</title>
<p>This study investigates the impact of ULUC on USP and shows that, under specific conditions, increasing land resource constraints and ecological pressure can drive cities toward green transformation and improvements in USP. The main findings are as follows: (1) ULUC exerts a significant positive effect on USP, and this effect displays marked regional heterogeneity. Cities in the upper reaches of the YRB exhibit a clear positive response, whereas those in the middle and lower reaches have not yet effectively converted ULUC into a driving force for urban sustainable development. (2) GI functions as an important mediating variable between ULUC and USP. By fostering technological progress and industrial upgrading, GI strengthens the capacity of cities to undertake green transformation. At the same time, policy instruments such as FEE and GFS play a significant moderating role in this process and amplify the positive effect of ULUC. (3) ISU exerts a pronounced threshold effect in the relationship between ULUC and USP. Once the ISU level reaches a certain standard, the negative impact of ULUC is attenuated and is transformed into a positive driving force for USP, indicating the crucial role of industrial structure optimization in alleviating land constraints and promoting green transition.</p>
</sec>
<sec>
<label>6.2</label>
<title>Policy implications</title>
<p>In light of the above empirical findings, this study proposes the following policy implications. (1) Local governments are suggested to design targeted land use and green transition policies that are consistent with regional land resource constraints and the prevailing stage of industrial development. In particular, in upstream sections of the basin where resource constraints are especially acute, it is necessary to accelerate the development of green industries and the optimization of spatial structure. (2) Policies that foster GI could be regarded as a core instrument for addressing ULUC. The expansion of financial support for GI in more cities can strengthen their capacity to cope with environmental constraints. With the backing of GFS and FEE, in particular, urban governments are better positioned to convert the pressure arising from land use conflict into momentum for green development. (3) The optimization of the industrial structure is fundamental to relieving land resource constraints and advancing green transition. Policymakers can actively promote the upgrading of the industrial structure, especially in cities where low end industries account for a large share of economic activity, by improving both the pace and the quality of industrial upgrading so as to enhance land use efficiency and the sustainability of green productivity.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<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 authors.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>PG: Writing &#x02013; original draft, Software, Formal analysis, Writing &#x02013; review &#x00026; editing, Data curation, Conceptualization, Methodology. HT: Writing &#x02013; review &#x00026; editing, Formal analysis, Supervision, Conceptualization, Visualization. YS: Writing &#x02013; review &#x00026; editing, Supervision, Data curation, Conceptualization, Visualization.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;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>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Balogun</surname> <given-names>A. L.</given-names></name> <name><surname>Marks</surname> <given-names>D.</given-names></name> <name><surname>Sharma</surname> <given-names>R.</given-names></name> <name><surname>Shekhar</surname> <given-names>H.</given-names></name> <name><surname>Balmes</surname> <given-names>C.</given-names></name> <name><surname>Maheng</surname> <given-names>D.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres</article-title>. <source>Sustain. Cities Soc.</source> <volume>58</volume>, <fpage>1</fpage>&#x02013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scs.2019.101888</pub-id></mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baron</surname> <given-names>R. M.</given-names></name> <name><surname>Kenny</surname> <given-names>D. A.</given-names></name></person-group> (<year>1986</year>). <article-title>The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations</article-title>. <source>J. Pers. Soc. Psychol.</source> <volume>51</volume>, <fpage>1173</fpage>. doi: <pub-id pub-id-type="doi">10.1037/0022-3514.51.6.1173</pub-id><pub-id pub-id-type="pmid">3806354</pub-id></mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bian</surname> <given-names>H.</given-names></name> <name><surname>Gao</surname> <given-names>J.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Sun</surname> <given-names>X.</given-names></name> <name><surname>Du</surname> <given-names>Y.</given-names></name></person-group> (<year>2021</year>). <article-title>Hierarchical analysis of landscape urbanization and its impacts on regional sustainability: a case study of the Yangtze River Economic Belt of China</article-title>. <source>J. Clean. Prod.</source> <volume>279</volume>:<fpage>123267</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2020.123267</pub-id></mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Breuer</surname> <given-names>M.</given-names></name> <name><surname>DeHaan</surname> <given-names>E. D.</given-names></name></person-group> (<year>2024</year>). <article-title>Using and interpreting fixed effects models</article-title>. <source>J. Account. Res.</source> <volume>62</volume>, <fpage>1183</fpage>&#x02013;<lpage>1226</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1475-679X.12559</pub-id></mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Busenbark</surname> <given-names>J. R.</given-names></name> <name><surname>Graffin</surname> <given-names>S. D.</given-names></name> <name><surname>Campbell</surname> <given-names>R. J.</given-names></name> <name><surname>Lee</surname> <given-names>E. Y.</given-names></name></person-group> (<year>2022</year>). <article-title>A marginal effects approach to interpreting main effects and moderation</article-title>. <source>Organ. Res. Methods</source> <volume>25</volume>, <fpage>147</fpage>&#x02013;<lpage>169</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1094428120976838</pub-id></mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>J.</given-names></name> <name><surname>Abbas</surname> <given-names>J.</given-names></name> <name><surname>Najam</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Abbas</surname> <given-names>J.</given-names></name></person-group> (<year>2023</year>). <article-title>Green technological innovation, green finance, and financial development and their role in green total factor productivity: Empirical insights from China</article-title>. <source>J. Clean. Prod.</source> <volume>382</volume>:<fpage>135131</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2022.135131</pub-id></mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>K.</given-names></name> <name><surname>Liu</surname> <given-names>S.</given-names></name></person-group> (<year>2024</year>). <article-title>Does urbanization promote the urban&#x02013;rural equalization of basic public services? Evidence from prefectural cities in China</article-title>. <source>Appl. Econ.</source> <volume>56</volume>, <fpage>3445</fpage>&#x02013;<lpage>3459</lpage>. doi: <pub-id pub-id-type="doi">10.1080/00036846.2023.2206625</pub-id></mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>M.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Yang</surname> <given-names>S.</given-names></name> <name><surname>Li</surname> <given-names>Q.</given-names></name></person-group> (<year>2024</year>). <article-title>The driving effect of technological innovation on green development: from the perspective of efficiency</article-title>. <source>Energy Policy</source> <volume>188</volume>, <fpage>114089</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.enpol.2024.114089</pub-id></mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>P.</given-names></name> <name><surname>Fan</surname> <given-names>Y.</given-names></name> <name><surname>Tang</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Wu</surname> <given-names>S.</given-names></name> <name><surname>Zhu</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Research review on land development rights and its implications for China&#x00027;s national territory spatial planning</article-title>. <source>Heliyon</source> <volume>10</volume>:<fpage>e35227</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.heliyon.2024.e35227</pub-id><pub-id pub-id-type="pmid">39165966</pub-id></mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>P.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Kong</surname> <given-names>X.</given-names></name> <name><surname>Wu</surname> <given-names>S.</given-names></name> <name><surname>Yan</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Continuing the continuous harvests of food production: From the perspective of the interrelationships among cultivated land quantity, quality, and grain yield</article-title>. <source>Humanit. Soc. Sci. Commun.</source> <volume>12</volume>, <fpage>1</fpage>&#x02013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1057/s41599-024-04342-1</pub-id></mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cui</surname> <given-names>X.</given-names></name> <name><surname>Shen</surname> <given-names>Z.</given-names></name> <name><surname>Li</surname> <given-names>Z.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Spatiotemporal evolutions and driving factors of green development performance of cities in the Yangtze River Economic Belt</article-title>. <source>Ecol. Inform.</source> <volume>66</volume>:<fpage>101476</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ecoinf.2021.101476</pub-id></mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>De Bruijn</surname> <given-names>E. J.</given-names></name> <name><surname>Antonides</surname> <given-names>G.</given-names></name></person-group> (<year>2022</year>). <article-title>Poverty and economic decision making: a review of scarcity theory</article-title>. <source>Theory Decis.</source> <volume>92</volume>, <fpage>5</fpage>&#x02013;<lpage>37</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11238-021-09802-7</pub-id></mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>De Jong</surname> <given-names>L.</given-names></name> <name><surname>De Bruin</surname> <given-names>S.</given-names></name> <name><surname>Knoop</surname> <given-names>J.</given-names></name> <name><surname>van Vliet</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Understanding land-use change conflict: a systematic review of case studies</article-title>. <source>J. Land Use Sci.</source> <volume>16</volume>, <fpage>223</fpage>&#x02013;<lpage>239</lpage>. doi: <pub-id pub-id-type="doi">10.1080/1747423X.2021.1933226</pub-id></mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Deng</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name></person-group> (<year>2025</year>). <article-title>Urban land supply strategies and carbon emissions in China: from the perspective of land-based fiscal revenue and land-based investment</article-title>. <source>Humanit. Soc. Sci. Commun.</source> <volume>12</volume>, <fpage>1</fpage>&#x02013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1057/s41599-025-05804-w</pub-id></mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Deng</surname> <given-names>X.</given-names></name> <name><surname>Liang</surname> <given-names>L.</given-names></name> <name><surname>Wu</surname> <given-names>F.</given-names></name> <name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>He</surname> <given-names>S.</given-names></name></person-group> (<year>2022</year>). <article-title>A review of the balance of regional development in China from the perspective of development geography</article-title>. <source>J. Geograph. Sci.</source> <volume>32</volume>, <fpage>3</fpage>&#x02013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11442-021-1930-0</pub-id></mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dettori</surname> <given-names>J. R.</given-names></name> <name><surname>Norvell</surname> <given-names>D. C.</given-names></name> <name><surname>Chapman</surname> <given-names>J. R.</given-names></name></person-group> (<year>2022</year>). <article-title>Fixed-effect vs random-effects models for meta-analysis: 3 points to consider</article-title>. <source>Global Spine J.</source> <volume>12</volume>, <fpage>1624</fpage>&#x02013;<lpage>1626</lpage>. doi: <pub-id pub-id-type="doi">10.1177/21925682221110527</pub-id><pub-id pub-id-type="pmid">35723546</pub-id></mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ding</surname> <given-names>C.</given-names></name> <name><surname>Lichtenberg</surname> <given-names>E.</given-names></name></person-group> (<year>2011</year>). <article-title>Land and urban economic growth in China</article-title>. <source>J. Reg. Sci.</source> <volume>51</volume>, <fpage>299</fpage>&#x02013;<lpage>317</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1467-9787.2010.00686.x</pub-id></mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname> <given-names>Y.</given-names></name> <name><surname>Jin</surname> <given-names>G.</given-names></name> <name><surname>Deng</surname> <given-names>X.</given-names></name></person-group> (<year>2020</year>). <article-title>Dynamic interactive effects of urban land-use efficiency, industrial transformation, and carbon emissions</article-title>. <source>J. Clean. Prod.</source> <volume>270</volume>:<fpage>122547</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2020.122547</pub-id></mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>J.</given-names></name> <name><surname>O&#x00027;Neill</surname> <given-names>B. C.</given-names></name></person-group> (<year>2020</year>). <article-title>Mapping global urban land for the 21st century with data-driven simulations and shared socioeconomic Pathways</article-title>. <source>Nat. Commun.</source> <volume>11</volume>:<fpage>2302</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-15788-7</pub-id><pub-id pub-id-type="pmid">32385275</pub-id></mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>X.</given-names></name> <name><surname>Zhang</surname> <given-names>A.</given-names></name> <name><surname>Sun</surname> <given-names>Z.</given-names></name></person-group> (<year>2020</year>). <article-title>How regional economic integration influence on urban land use efficiency? A case study of Wuhan metropolitan area, China</article-title>. <source>Land Use Policy</source> <volume>90</volume>:<fpage>104329</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2019.104329</pub-id></mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Glaeser</surname> <given-names>E. L.</given-names></name> <name><surname>Gottlieb</surname> <given-names>J. D.</given-names></name></person-group> (<year>2009</year>). <article-title>The wealth of cities: Agglomeration economies and spatial equilibrium in the United States</article-title>. <source>J. Econ. Lit.</source> <volume>47</volume>, <fpage>983</fpage>&#x02013;<lpage>1028</lpage>. doi: <pub-id pub-id-type="doi">10.1257/jel.47.4.983</pub-id></mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Grimm</surname> <given-names>N. B.</given-names></name> <name><surname>Faeth</surname> <given-names>S. H.</given-names></name> <name><surname>Golubiewski</surname> <given-names>N. E.</given-names></name> <name><surname>Redman</surname> <given-names>C. L.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Bai</surname> <given-names>X.</given-names></name> <etal/></person-group>. (<year>2008</year>). <article-title>Global change and the ecology of cities</article-title>. <source>Science</source> <volume>319</volume>, <fpage>756</fpage>&#x02013;<lpage>760</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1150195</pub-id><pub-id pub-id-type="pmid">18258902</pub-id></mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hou</surname> <given-names>G.</given-names></name> <name><surname>Shi</surname> <given-names>G.</given-names></name></person-group> (<year>2024</year>). <article-title>Green finance and innovative cities: dual-pilot policies and collaborative green innovation</article-title>. <source>Int. Rev. Financ. Analysis</source> <volume>96</volume>:<fpage>103673</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.irfa.2024.103673</pub-id></mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>X.</given-names></name> <name><surname>Lan</surname> <given-names>F.</given-names></name></person-group> (<year>2025</year>). <article-title>The influencing factors and regional heterogeneity of county-level public services quality in China</article-title>. <source>Int. J. Urban Sci.</source> <volume>2025</volume>, <fpage>1</fpage>&#x02013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1080/12265934.2025.2452502</pub-id></mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Islam</surname> <given-names>H.</given-names></name></person-group> (<year>2025</year>). <article-title>Nexus of economic, social, and environmental factors on sustainable development goals: the moderating role of technological advancement and green innovation</article-title>. <source>Innovat. Green Dev.</source> <volume>4</volume>:<fpage>100183</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.igd.2024.100183</pub-id></mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname> <given-names>Z.</given-names></name> <name><surname>Wu</surname> <given-names>H.</given-names></name> <name><surname>Xu</surname> <given-names>Z.</given-names></name> <name><surname>Shen</surname> <given-names>F.</given-names></name> <name><surname>Jia</surname> <given-names>N.</given-names></name> <name><surname>Huang</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Optimizing land use spatial patterns to balance urban development and resource-environmental constraints: a case study of China&#x00027;s Central Plains Urban Agglomeration</article-title>. <source>J. Environ. Manage.</source> <volume>380</volume>:<fpage>125173</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jenvman.2025.125173</pub-id><pub-id pub-id-type="pmid">40163914</pub-id></mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jing</surname> <given-names>P.</given-names></name> <name><surname>Sheng</surname> <given-names>J.</given-names></name> <name><surname>Hu</surname> <given-names>T.</given-names></name> <name><surname>Mahmoud</surname> <given-names>A.</given-names></name> <name><surname>Guo</surname> <given-names>L.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Spatiotemporal evolution of sustainable utilization of water resources in the Yangtze River Economic Belt based on an integrated water ecological footprint model</article-title>. <source>J. Clean. Prod.</source> <volume>358</volume>:<fpage>132035</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2022.132035</pub-id></mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Leng</surname> <given-names>A.</given-names></name> <name><surname>Wang</surname> <given-names>K.</given-names></name> <name><surname>Bai</surname> <given-names>J.</given-names></name> <name><surname>Gu</surname> <given-names>N.</given-names></name> <name><surname>Feng</surname> <given-names>R.</given-names></name></person-group> (<year>2024</year>). <article-title>Analyzing sustainable development in Chinese cities: a focus on land use efficiency in production-living-ecological aspects</article-title>. <source>J. Clean. Prod.</source> <volume>448</volume>:<fpage>141461</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2024.141461</pub-id></mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>K.</given-names></name> <name><surname>Lin</surname> <given-names>B.</given-names></name></person-group> (<year>2017</year>). <article-title>Economic growth model, structural transformation, and green productivity in China</article-title>. <source>Appl. Energy</source> <volume>187</volume>, <fpage>489</fpage>&#x02013;<lpage>500</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.apenergy.2016.11.075</pub-id></mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Z.</given-names></name> <name><surname>Luan</surname> <given-names>W.</given-names></name> <name><surname>Zhang</surname> <given-names>Z.</given-names></name> <name><surname>Su</surname> <given-names>M.</given-names></name></person-group> (<year>2020</year>). <article-title>Relationship between urban construction land expansion and population/economic growth in Liaoning Province, China</article-title>. <source>Land Use Policy</source> <volume>99</volume>:<fpage>105022</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2020.105022</pub-id></mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Hou</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Shen</surname> <given-names>Y.</given-names></name></person-group> (<year>2021</year>). <article-title>Study the effect of industrial structure optimization on urban land-use efficiency in China</article-title>. <source>Land Use Policy</source> <volume>105</volume>:<fpage>105390</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2021.105390</pub-id></mixed-citation>
</ref>
<ref id="B32">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Cheng</surname> <given-names>P.</given-names></name> <name><surname>Zhang</surname> <given-names>A.</given-names></name> <name><surname>Qin</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name></person-group> (<year>2025</year>). <article-title>Beyond environmental sustainability: low-carbon land use policies can contribute to the realization of comprehensive sustainable development</article-title>. <source>Sustain. Dev.</source> <volume>33</volume>, <fpage>1315</fpage>&#x02013;<lpage>1332</lpage>. doi: <pub-id pub-id-type="doi">10.1002/sd.3180</pub-id></mixed-citation>
</ref>
<ref id="B33">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>L.</given-names></name> <name><surname>Yang</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>S.</given-names></name> <name><surname>Gong</surname> <given-names>X.</given-names></name> <name><surname>Zhao</surname> <given-names>Y.</given-names></name> <name><surname>Jin</surname> <given-names>R.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>A comparative study of green growth efficiency in Yangtze River Economic Belt and Yellow River Basin between 2010 and 2020</article-title>. <source>Ecol. Indic.</source> <volume>150</volume>:<fpage>110214</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ecolind.2023.110214</pub-id></mixed-citation>
</ref>
<ref id="B34">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Huang</surname> <given-names>G.</given-names></name> <name><surname>Liu</surname> <given-names>L.</given-names></name> <name><surname>Zhai</surname> <given-names>M.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Pan</surname> <given-names>X.</given-names></name></person-group> (<year>2022</year>). <article-title>Development of a multi-region blue/grey water management system &#x02013; Application to the Yangtze River Economic Belt</article-title>. <source>J. Clean. Prod.</source> <volume>380</volume>:<fpage>134924</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2022.134924</pub-id></mixed-citation>
</ref>
<ref id="B35">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name> <name><surname>Kong</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>R.</given-names></name> <name><surname>Chen</surname> <given-names>L.</given-names></name></person-group> (<year>2018</year>). <article-title>Identifying the relationship between urban land expansion and human activities in the Yangtze River Economic Belt, China</article-title>. <source>Appl. Geograp.</source> <volume>94</volume>, <fpage>163</fpage>&#x02013;<lpage>177</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.apgeog.2018.03.016</pub-id></mixed-citation>
</ref>
<ref id="B36">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Zhou</surname> <given-names>Y.</given-names></name></person-group> (<year>2021</year>). <article-title>Reflections on China&#x00027;s food security and land use policy under rapid urbanization</article-title>. <source>Land Use Policy</source> <volume>109</volume>:<fpage>105699</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2021.105699</pub-id></mixed-citation>
</ref>
<ref id="B37">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Z.</given-names></name> <name><surname>Huang</surname> <given-names>Z.</given-names></name> <name><surname>Yin</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name></person-group> (<year>2024</year>). <article-title>Urban regeneration under national land use control: Guangdong&#x00027;s &#x0201C;Three-Old&#x0201D; redevelopment programme</article-title>. <source>China Quart.</source> <volume>258</volume>, <fpage>441</fpage>&#x02013;<lpage>456</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0305741023001455</pub-id></mixed-citation>
</ref>
<ref id="B38">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luge</surname> <given-names>W.</given-names></name> <name><surname>Zhang</surname> <given-names>T.</given-names></name> <name><surname>Shen</surname> <given-names>T.</given-names></name></person-group> (<year>2025</year>). <article-title>Spatial-temporal evolution and influencing factors of urban land use structure efficiency: Evidence from 282 cities in China</article-title>. <source>J. Clean. Prod.</source> <volume>500</volume>:<fpage>145275</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2025.145275</pub-id></mixed-citation>
</ref>
<ref id="B39">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname> <given-names>W.</given-names></name> <name><surname>Jiang</surname> <given-names>G.</given-names></name> <name><surname>Chen</surname> <given-names>Y.</given-names></name> <name><surname>Qu</surname> <given-names>Y.</given-names></name> <name><surname>Zhou</surname> <given-names>T.</given-names></name> <name><surname>Li</surname> <given-names>W.</given-names></name></person-group> (<year>2020</year>). <article-title>How feasible is regional integration for reconciling land use conflicts across the urban&#x02013;rural interface? Evidence from Beijing&#x02013;Tianjin&#x02013;Hebei metropolitan region in China</article-title>. <source>Land Use Policy</source> <volume>92</volume>:<fpage>104433</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2019.104433</pub-id></mixed-citation>
</ref>
<ref id="B40">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mahtta</surname> <given-names>R.</given-names></name> <name><surname>Fragkias</surname> <given-names>M.</given-names></name> <name><surname>G&#x000FC;neralp</surname> <given-names>B.</given-names></name> <name><surname>Mahendra</surname> <given-names>A.</given-names></name> <name><surname>Reba</surname> <given-names>M.</given-names></name> <name><surname>Wentz</surname> <given-names>E. A.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Urban land expansion: the role of population and economic growth for 300&#x0002B; cities</article-title>. <source>NPJ Urban Sustainab.</source> <volume>2</volume>:<fpage>5</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s42949-022-00048-y</pub-id></mixed-citation>
</ref>
<ref id="B41">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mao</surname> <given-names>X.</given-names></name> <name><surname>Huang</surname> <given-names>X.</given-names></name> <name><surname>Song</surname> <given-names>Y.</given-names></name> <name><surname>Zhu</surname> <given-names>Y.</given-names></name> <name><surname>Tan</surname> <given-names>Q.</given-names></name></person-group> (<year>2020</year>). <article-title>Response to urban land scarcity in growing megacities: urban containment or inter-city connection?</article-title> <source>Cities</source> <volume>96</volume>:<fpage>102399</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cities.2019.102399</pub-id></mixed-citation>
</ref>
<ref id="B42">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mohamed</surname> <given-names>A. A.</given-names></name> <name><surname>Ubarevi&#x0010D;iene</surname> <given-names>R.</given-names></name> <name><surname>Van Ham</surname> <given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>Morphological evaluation and regeneration of informal settlements: an experience-based urban design approach</article-title>. <source>Cities</source> <volume>128</volume>:<fpage>103798</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cities.2022.103798</pub-id></mixed-citation>
</ref>
<ref id="B43">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ouyang</surname> <given-names>X.</given-names></name> <name><surname>Wei</surname> <given-names>X.</given-names></name> <name><surname>Wei</surname> <given-names>G.</given-names></name> <name><surname>Wang</surname> <given-names>K.</given-names></name></person-group> (<year>2023</year>). <article-title>The expansion efficiency of urban land in China&#x00027;s urban agglomerations and its impact on ecosystem services</article-title>. <source>Habitat Int.</source> <volume>141</volume>:<fpage>102944</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.habitatint.2023.102944</pub-id></mixed-citation>
</ref>
<ref id="B44">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ouyang</surname> <given-names>X.</given-names></name> <name><surname>Xu</surname> <given-names>J.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Wei</surname> <given-names>X.</given-names></name> <name><surname>Li</surname> <given-names>Y.</given-names></name></person-group> (<year>2022</year>). <article-title>Land space optimization of urban-agriculture-ecological functions in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China</article-title>. <source>Land Use Policy</source> <volume>117</volume>:<fpage>106112</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2022.106112</pub-id></mixed-citation>
</ref>
<ref id="B45">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>H.</given-names></name> <name><surname>You</surname> <given-names>C.</given-names></name> <name><surname>Wang</surname> <given-names>W.</given-names></name> <name><surname>Guo</surname> <given-names>L.</given-names></name></person-group> (<year>2024</year>). <article-title>Spatio-temporal interplay between ecosystem services and urbanization in the Yangtze River Economic Belt: A new perspective for considering the scarcity effect</article-title>. <source>Land Use Policy</source> <volume>147</volume>:<fpage>107358</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2024.107358</pub-id></mixed-citation>
</ref>
<ref id="B46">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>S.</given-names></name> <name><surname>Tian</surname> <given-names>Y.</given-names></name> <name><surname>Jiang</surname> <given-names>G.</given-names></name> <name><surname>Zhou</surname> <given-names>T.</given-names></name> <name><surname>Meng</surname> <given-names>L.</given-names></name></person-group> (<year>2023a</year>). <article-title>Territorial spatial planning for regional high-quality development &#x02013; An analytical framework for the identification, mediation and transmission of potential land utilization conflicts in the Yellow River Delta</article-title>. <source>Land Use Policy</source> <volume>125</volume>:<fpage>106462</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2022.106462</pub-id></mixed-citation>
</ref>
<ref id="B47">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>Y.</given-names></name> <name><surname>Zhan</surname> <given-names>L.</given-names></name> <name><surname>Zhang</surname> <given-names>Q.</given-names></name> <name><surname>Si</surname> <given-names>H.</given-names></name> <name><surname>Jiang</surname> <given-names>G.</given-names></name></person-group> (<year>2023b</year>). <article-title>Towards sustainability: The impact of the multidimensional morphological evolution of urban land on carbon emissions</article-title>. <source>J. Clean. Prod.</source> <volume>424</volume>:<fpage>138888</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2023.138888</pub-id></mixed-citation>
</ref>
<ref id="B48">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname> <given-names>C.</given-names></name> <name><surname>Li</surname> <given-names>S.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Liao</surname> <given-names>Z.</given-names></name></person-group> (<year>2020</year>). <article-title>The effect of environmental policy tools on regional green innovation: Evidence from China</article-title>. <source>J. Clean. Prod.</source> <volume>254</volume>:<fpage>120122</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2020.120122</pub-id></mixed-citation>
</ref>
<ref id="B49">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Si</surname> <given-names>S.</given-names></name> <name><surname>Jiang</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name></person-group> (<year>2025</year>). <article-title>Navigating economic growth targets: the role of innovation-driven strategies in regional talent allocation in China</article-title>. <source>Humanit. Soc. Sci. Commun.</source> <volume>12</volume>, <fpage>1</fpage>&#x02013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1057/s41599-025-05035-z</pub-id></mixed-citation>
</ref>
<ref id="B50">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Song</surname> <given-names>Y.</given-names></name> <name><surname>Yeung</surname> <given-names>G.</given-names></name> <name><surname>Zhu</surname> <given-names>D.</given-names></name> <name><surname>Xu</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name></person-group> (<year>2022</year>). <article-title>Efficiency of urban land use in China&#x00027;s resource-based cities, 2000&#x02013;2018</article-title>. <source>Land Use Policy</source> <volume>115</volume>:<fpage>106009</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2022.106009</pub-id></mixed-citation>
</ref>
<ref id="B51">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sperling</surname> <given-names>K.</given-names></name> <name><surname>Arler</surname> <given-names>F.</given-names></name></person-group> (<year>2020</year>). <article-title>Local government innovation in the energy sector: A study of key actors&#x00027; strategies and arguments</article-title>. <source>Renew. Sustain. Energy Rev.</source> <volume>126</volume>:<fpage>109837</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.rser.2020.109837</pub-id></mixed-citation>
</ref>
<ref id="B52">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Spiliotopoulou</surname> <given-names>M.</given-names></name> <name><surname>Roseland</surname> <given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>Urban sustainability via urban productivity? A conceptual review and framework proposal</article-title>. <source>Local Environm.</source> <volume>27</volume>, <fpage>177</fpage>&#x02013;<lpage>196</lpage>. doi: <pub-id pub-id-type="doi">10.1080/13549839.2021.2005008</pub-id></mixed-citation>
</ref>
<ref id="B53">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tian</surname> <given-names>C.</given-names></name> <name><surname>Luan</surname> <given-names>W.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Jin</surname> <given-names>X.</given-names></name></person-group> (<year>2024</year>). <article-title>Land price, government debt, and land-use efficiency in the coastal cities of China under the constraint of land scarcity</article-title>. <source>J. Environ. Manage.</source> <volume>371</volume>:<fpage>123144</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jenvman.2024.123144</pub-id><pub-id pub-id-type="pmid">39486299</pub-id></mixed-citation>
</ref>
<ref id="B54">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tian</surname> <given-names>J.</given-names></name> <name><surname>Chang</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Qiu</surname> <given-names>C.</given-names></name> <name><surname>Shi</surname> <given-names>K.</given-names></name></person-group> (<year>2025</year>). <article-title>Can efficient urban land use mitigate land use conflicts? Empirical evidence from the central Chengdu&#x02013;Chongqing region, China</article-title>. <source>Land Use Policy</source> <volume>153</volume>:<fpage>107550</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2025.107550</pub-id></mixed-citation>
</ref>
<ref id="B55">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name></person-group> (<year>2022</year>). <article-title>Land-based urbanization in China: mismatched land development in the post-financial crisis era</article-title>. <source>Habitat Int.</source> <volume>125</volume>:<fpage>102598</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.habitatint.2022.102598</pub-id></mixed-citation>
</ref>
<ref id="B56">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Qu</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>P.</given-names></name></person-group> (<year>2025</year>). <article-title>Spatial heterogeneity and driving factors of cropland expansion trajectories in the Yangtze River Economic Belt, China</article-title>. <source>Region. Environm. Change</source> <volume>25</volume>:<fpage>67</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s10113-025-02394-w</pub-id></mixed-citation>
</ref>
<ref id="B57">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>L.</given-names></name> <name><surname>Xiong</surname> <given-names>Q.</given-names></name> <name><surname>Tong</surname> <given-names>Z.</given-names></name> <name><surname>An</surname> <given-names>R.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name></person-group> (<year>2024</year>). <article-title>Exploring the non-linear relations between the cropland expansion and driving factors in China</article-title>. <source>Region. Environm. Change</source> <volume>24</volume>:<fpage>138</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s10113-024-02300-w</pub-id></mixed-citation>
</ref>
<ref id="B58">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>M. L.</given-names></name></person-group> (<year>2023</year>). <article-title>Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model</article-title>. <source>Technol. Forecast. Soc. Change</source> <volume>189</volume>:<fpage>122333</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.techfore.2023.122333</pub-id></mixed-citation>
</ref>
<ref id="B59">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q.</given-names></name></person-group> (<year>2015</year>). <article-title>Fixed-effect panel threshold model using Stata</article-title>. <source>Stata Journal</source> <volume>15</volume>, <fpage>121</fpage>&#x02013;<lpage>134</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1536867X1501500108</pub-id></mixed-citation>
</ref>
<ref id="B60">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Shi</surname> <given-names>R.</given-names></name> <name><surname>Zhou</surname> <given-names>Y.</given-names></name></person-group> (<year>2020</year>). <article-title>Dynamics of urban sprawl and sustainable development in China</article-title>. <source>Socioecon. Plann. Sci.</source> <volume>70</volume>:<fpage>100736</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.seps.2019.100736</pub-id></mixed-citation>
</ref>
<ref id="B61">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Niu</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Yu</surname> <given-names>Q.</given-names></name> <name><surname>Chen</surname> <given-names>W.</given-names></name></person-group> (<year>2022</year>). <article-title>Spatial structure and carbon emission of urban agglomerations: Spatiotemporal characteristics and driving forces</article-title>. <source>Sustain. Cities Soc.</source> <volume>78</volume>:<fpage>103600</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scs.2021.103600</pub-id></mixed-citation>
</ref>
<ref id="B62">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Fu</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>H.</given-names></name> <name><surname>Liao</surname> <given-names>C.</given-names></name></person-group> (<year>2023a</year>). <article-title>Urban development sustainability, industrial structure adjustment, and land use efficiency in China</article-title>. <source>Sustain. Cities Soc.</source> <volume>89</volume>:<fpage>104338</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scs.2022.104338</pub-id></mixed-citation>
</ref>
<ref id="B63">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Fu</surname> <given-names>H.</given-names></name> <name><surname>Zhou</surname> <given-names>L.</given-names></name></person-group> (<year>2023b</year>). <article-title>Multiple urban resilience evaluation of resource-based cities&#x00027; sustainable transformation effect</article-title>. <source>Resour. Conservat. Recycl.</source> <volume>191</volume>:<fpage>106912</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.resconrec.2023.106912</pub-id></mixed-citation>
</ref>
<ref id="B64">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xiong</surname> <given-names>W.</given-names></name> <name><surname>Han</surname> <given-names>Y.</given-names></name> <name><surname>Crabbe</surname> <given-names>M. J. C.</given-names></name> <name><surname>Yue</surname> <given-names>X. G.</given-names></name></person-group> (<year>2020</year>). <article-title>Fiscal expenditures on science and technology and environmental pollution: Evidence from China</article-title>. <source>Int. J. Environ. Res. Public Health</source> <volume>17</volume>:<fpage>8761</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph17238761</pub-id><pub-id pub-id-type="pmid">33255740</pub-id></mixed-citation>
</ref>
<ref id="B65">
<mixed-citation publication-type="web"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>J.</given-names></name> <name><surname>Zou</surname> <given-names>G.</given-names></name> <name><surname>Chung</surname> <given-names>C. K. L.</given-names></name></person-group> (<year>2022</year>). <article-title>(Re) shaping urban governance through state&#x02013;business interaction in inland China&#x00027;s emerging industries</article-title>. <source>China Rev.</source> <volume>22</volume>, <fpage>77</fpage>&#x02013;<lpage>104</lpage>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.jstor.org/stable/48717747">https://www.jstor.org/stable/48717747</ext-link></mixed-citation>
</ref>
<ref id="B66">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>D.</given-names></name> <name><surname>Liu</surname> <given-names>C.</given-names></name> <name><surname>Li</surname> <given-names>P.</given-names></name></person-group> (<year>2023</year>). <article-title>Effect of carbon emissions and the driving mechanism of economic growth target setting: An empirical study of provincial data in China</article-title>. <source>J. Clean. Prod.</source> <volume>415</volume>:<fpage>137721</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2023.137721</pub-id></mixed-citation>
</ref>
<ref id="B67">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>J.</given-names></name> <name><surname>Xiong</surname> <given-names>G.</given-names></name> <name><surname>Shi</surname> <given-names>D.</given-names></name></person-group> (<year>2022</year>). <article-title>Innovation and sustainable: Can innovative city improve energy efficiency?</article-title> <source>Sustain. Cities Soc.</source> <volume>80</volume>:<fpage>103761</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scs.2022.103761</pub-id></mixed-citation>
</ref>
<ref id="B68">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>Q.</given-names></name> <name><surname>Wang</surname> <given-names>L.</given-names></name> <name><surname>Li</surname> <given-names>Y.</given-names></name> <name><surname>Fan</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>C.</given-names></name></person-group> (<year>2022</year>). <article-title>Urban land development intensity: New evidence behind economic transition in the Yangtze River Delta, China</article-title>. <source>J. Geograph. Sci.</source> <volume>32</volume>, <fpage>2453</fpage>&#x02013;<lpage>2474</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11442-022-2056-8</pub-id></mixed-citation>
</ref>
<ref id="B69">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>S.</given-names></name> <name><surname>Dou</surname> <given-names>S.</given-names></name> <name><surname>Li</surname> <given-names>C.</given-names></name></person-group> (<year>2023</year>). <article-title>Land-use conflict identification in urban fringe areas using the theory of leading functional space partition</article-title>. <source>Soc. Sci. J.</source> <volume>60</volume>, <fpage>715</fpage>&#x02013;<lpage>730</lpage>. doi: <pub-id pub-id-type="doi">10.1080/03623319.2020.1758483</pub-id></mixed-citation>
</ref>
<ref id="B70">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>You</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name></person-group> (<year>2022</year>). <article-title>How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China&#x00027;s industries</article-title>. <source>Energy</source> <volume>247</volume>:<fpage>123386</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.energy.2022.123386</pub-id></mixed-citation>
</ref>
<ref id="B71">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>H.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Hou</surname> <given-names>J.</given-names></name> <name><surname>Yu</surname> <given-names>B.</given-names></name> <name><surname>Pan</surname> <given-names>Y.</given-names></name></person-group> (<year>2023</year>). <article-title>The effect of economic growth pressure on green technology innovation: Do environmental regulation, government support, and financial development matter?</article-title> <source>J. Environ. Manage.</source> <volume>330</volume>:<fpage>117172</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jenvman.2022.117172</pub-id><pub-id pub-id-type="pmid">36603268</pub-id></mixed-citation>
</ref>
<ref id="B72">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>H.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Zhou</surname> <given-names>Q.</given-names></name> <name><surname>Wang</surname> <given-names>L.</given-names></name></person-group> (<year>2022</year>). <article-title>Local government environmental regulatory pressures and corporate environmental strategies: evidence from natural resource accountability audits in China</article-title>. <source>Business Strat. Environm.</source> <volume>31</volume>, <fpage>3060</fpage>&#x02013;<lpage>3082</lpage>. doi: <pub-id pub-id-type="doi">10.1002/bse.3064</pub-id></mixed-citation>
</ref>
<ref id="B73">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>L.</given-names></name> <name><surname>Wen</surname> <given-names>M.</given-names></name> <name><surname>Li</surname> <given-names>C.</given-names></name> <name><surname>Nie</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>S.</given-names></name></person-group> (<year>2025</year>). <article-title>Impact of digital greening synergistic transformation on urban economic resilience in China: Evidence from quasi-natural experiments</article-title>. <source>Humanit. Soc. Sci. Commun.</source> <volume>12</volume>, <fpage>1</fpage>&#x02013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1057/s41599-025-04358-1</pub-id></mixed-citation>
</ref>
<ref id="B74">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>P.</given-names></name> <name><surname>Li</surname> <given-names>Z.</given-names></name> <name><surname>Ghardallou</surname> <given-names>W.</given-names></name> <name><surname>Xin</surname> <given-names>Y.</given-names></name> <name><surname>Cao</surname> <given-names>J.</given-names></name></person-group> (<year>2023</year>). <article-title>Nexus of institutional quality and technological innovation on renewable energy development: moderating role of green finance</article-title>. <source>Renew. Energy</source> <volume>214</volume>, <fpage>233</fpage>&#x02013;<lpage>241</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.renene.2023.05.089</pub-id></mixed-citation>
</ref>
<ref id="B75">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>T.</given-names></name></person-group> (<year>2023</year>). <article-title>Can green finance policies affect corporate financing? Evidence from China&#x00027;s green finance innovation and reform pilot zones</article-title>. <source>J. Clean. Prod.</source> <volume>419</volume>:<fpage>138289</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2023.138289</pub-id></mixed-citation>
</ref>
<ref id="B76">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Wu</surname> <given-names>Q.</given-names></name> <name><surname>Wei</surname> <given-names>Y. D.</given-names></name></person-group> (<year>2022</year>). <article-title>How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities</article-title>. <source>Land Use Policy</source> <volume>119</volume>:<fpage>106178</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.landusepol.2022.106178</pub-id></mixed-citation>
</ref>
<ref id="B77">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name></person-group> (<year>2021</year>). <article-title>Comprehensive evaluation and influencing factors of urban agglomeration water resources carrying capacity</article-title>. <source>J. Clean. Prod.</source> <volume>288</volume>:<fpage>125097</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2020.125097</pub-id></mixed-citation>
</ref>
<ref id="B78">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>J.</given-names></name> <name><surname>Shao</surname> <given-names>X.</given-names></name> <name><surname>Liu</surname> <given-names>W.</given-names></name> <name><surname>Kong</surname> <given-names>J.</given-names></name> <name><surname>Zuo</surname> <given-names>G.</given-names></name></person-group> (<year>2021</year>). <article-title>The impact of the pilot program on industrial structure upgrading in low-carbon cities</article-title>. <source>J. Clean. Prod.</source> <volume>290</volume>:<fpage>125868</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2021.125868</pub-id></mixed-citation>
</ref>
<ref id="B79">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>Y.</given-names></name> <name><surname>Cheng</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name></person-group> (<year>2023</year>). <article-title>Exploring the impact of explicit and implicit urban form on carbon emissions: evidence from Beijing, China</article-title>. <source>Ecol. Indic.</source> <volume>154</volume>:<fpage>110558</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ecolind.2023.110558</pub-id></mixed-citation>
</ref>
<ref id="B80">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>C.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Zhao</surname> <given-names>Y.</given-names></name></person-group> (<year>2025</year>). <article-title>Driving effect of government environmental protection expenditure on green technology from the perspective of fiscal transparency</article-title>. <source>Humanit. Soc. Sci. Commun.</source> <volume>12</volume>, <fpage>1</fpage>&#x02013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1057/s41599-025-04791-2</pub-id></mixed-citation>
</ref>
<ref id="B81">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>T.</given-names></name> <name><surname>Feng</surname> <given-names>Z.</given-names></name> <name><surname>Wu</surname> <given-names>K.</given-names></name></person-group> (<year>2022</year>). <article-title>Identifying the contradiction between the cultivated land fragmentation and the construction land expansion from the perspective of urban-rural differences</article-title>. <source>Ecol. Inform.</source> <volume>71</volume>:<fpage>101826</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ecoinf.2022.101826</pub-id></mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1693334/overview">Liye Wang</ext-link>, Shandong University of Finance and Economics, China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3295853/overview">Zelian Guo</ext-link>, Chengdu University of Technology, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3296607/overview">Longyang Huang</ext-link>, Chongqing University, China</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn0003"><label>1</label><p>Lower reaches of the YRB: Shanghai, Nanjing, Wuxi, Xuzhou, Changzhou, Suzhou, Nantong, Lianyungang, Huai&#x02018;an, Yancheng, Yangzhou, Zhenjiang, Taizhou(1), Suqian, Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou(2), Lishui, Hefei, Wuhu, Bengbu, Huainan, Ma&#x02018;anshan, Huaibei, Tongling, Anqing, Huangshan, Chuzhou, Fuyang, Suzhou, Lu&#x02018;an, Bozhou, Chizhou, Xuancheng.</p>
<p>Middle reaches of the YRB: Nanchang, Jingdezhen, Pingxiang, Jiujiang, Xinyu, Yingtan, Ganzhou, Ji&#x02018;an, Yichun, Fuzhou, Shangrao, Wuhan, Huangshi, Shiyan, Yichang, Xiangyang, Ezhou, Jingmen, Xiaogan, Jingzhou, Huanggang, Xianning, Suizhou, Changsha, Zhuzhou, Xiangtan, Hengyang, Shaoyang, Yueyang, Changde, Zhangjiajie, Yiyang, Chenzhou, Yongzhou, Huaihua, Loudi.</p>
<p>Upper reaches of the YRB: Chongqing, Chengdu, Zigong, Panzhihua, Luzhou, Deyang, Mianyang, Guangyuan, Suining, Neijiang, Leshan, Nanchong, Meishan, Yibin, Guang&#x02018;an, Dazhou, Ya&#x02018;an, Bazhong, Ziyang, Guiyang, Liupanshui, Zunyi, Anshun, Bijie, Tongren, Kunming, Qujing, Yuxi, Baoshan, Zhaotong, Lijiang, Pu&#x02018;er, Lincang.</p></fn>
</fn-group>
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