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China's paper industry development is rapid, but the recycling rate of China's waste paper has been low all the time. Meanwhile, material flow analysis can help determine the flow of waste paper, and life cycle assessment (LCA) is the methodological framework for quantifying greenhouse gas emissions. Therefore, present study integrates these two methods into the model construction of China's waste paper recycling decision system. Present study constructs a benchmark model of China's waste paper recycling decision system in 2017, focusing on the impact of nonstandard waste paper recycling on the economic and environmental benefits of China's domestic waste paper recycling system. This model construction is followed by sensitivity analysis of the relevant parameters affecting the efficiency of the waste paper recycling system. Finally, present study forecasts the system's economic benefits and greenhouse gas (GHG) emissions in the context of integrating and regulating nonstandard recycling vendors. The results show that the economic benefit of China's waste paper recycling in 2017 is approximately 458.3 yuan/t and that the GHG emissions are 901.1 kgCO 2 eq. The standard recovery rate and nonstandard recovery acceptance rate will both have a significant impact on the system's economic benefits and improve the GHG emissions structure. In the context of integrating nonstandard recycling enterprises and individual recycling vendors, the economic benefits will rise to 3312.5 yuan/t in 2030, while GHG emissions will rise to 942.9 kgCO 2 eq. Present study can play a certain guiding role for policy makers in formulating waste paper recycling industry specifications and formulating relevant policies., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Climate change is increasingly contributing to climatic mismatches, in which habitat suitability changes outpace the dispersal abilities of species. Climate niche models (CNM) have been widely used to assess such impacts on tree species. However, most studies have focused on either a single or a limited number of species, or have employed a fixed set of climate variables for multiple species. These limitations are largely due to the constraints of data availability, the complexity of the modeling algorithms, and integration approaches for the projections of diverse species. Therefore, whether specific climatic drivers determine the climatic niches of multiple tree species remains unclear. In this study, CNMs were developed for 100 economically and ecologically important tree species in China and were used to project their future distribution individually and collectively. Continentality was the predominant climate variable, affecting 71 species, followed by seasonal precipitation, which also significantly influenced over 50 species. Of the 100 tree species, the climate niche extent was projected to expand for 29 ("winners"), contract for 36 ("losers"), be stable for 27, and fluctuate for the remaining eight species. Principal component analysis showed that winners and losers were differentiated by geographic variables and the top five climatic variables, however, not by species type (deciduous vs. evergreen or conifer vs. broadleaf). The regions with the highest species richness were mainly distributed in the Hengduan Mountains, a global biodiversity hotspot, and were predicted to increase from 5.2% to 7.5% of the total area. Areas with low species richness were projected to increase from 33.0% to 42.4%. Significant shifts in species composition were anticipated in these biodiversity-rich areas, suggesting potential disruption owing to species reshuffling. This study highlights the urgent need for proactive forest management and conservation strategies to address the impacts of climate change on tree species and preserve ecological functions by mitigating climatic mismatches. In addition, this study establishes a framework to identify the common environmental drivers affecting niche distribution and evaluates the collective patterns of multiple tree species, thereby providing a scientific reference for enhanced forestry management and climate change mitigation., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Over the past three decades, numerous waterbird habitats have experienced considerable degradation as a result of the persistent deterioration of wetland ecosystems. Habitat suitability evaluation is a critical tool for restoring and conserving waterbird habitats. However, few studies have specifically examined the effects of temporal land cover changes on the suitability of migratory stopover habitats for waterbirds in transboundary regions. Consequently, this study leverages multi-source remote sensing imagery, applies an object-oriented classification approach for precise land cover extraction, and integrates GIS technology to identify key parameters that directly influence migratory waterbird resting sites. Through the establishment of a habitat suitability evaluation framework, this study aims to reveal the spatial and temporal patterns of habitat suitability in the Tumen River Estuary (TRE) from 1992 to 2021. Results reveal significant recent conversions of forest and grassland areas in the study area of China and North Korea to drylands, while marsh wetlands have been transformed into both drylands and paddy fields. Compared to 1992, the configuration of grasslands, marsh wetlands, and built-up land showed increased complexity in 2021. Notably, North Korea's landscape exhibited the most pronounced and loosely distributed fragmentation trends. The regions with the highest habitat suitability levels within the study area showed a clear declining trend, particularly in the most suitable zones across China and North Korea. This trend corresponds with an expansion of unsuitable areas, largely attributed to increased anthropogenic impacts as the primary driver of habitat suitability decline. The assessment of Moran's I indices highlights a strong spatial autocorrelation in the habitat suitability index across the TRE. The framework model developed in this study is well-suited to assist governmental entities in assessing and protecting habitats vital for endangered waterbird conservation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Artificial intelligence needs to be embraced urgently by enterprises as a means to achieve green development and address the efficiency quagmire in the context of green, low-carbon and sustainable development. To estimate a corporation's pioneering progress in artificial intelligence, this paper outlines the use of web-crawling procedures to capture company related terms within yearly reports by exploring the approaches adapted to Artificial intelligence. Based on data from Chinese listed companies from 2010 to 2021, this paper empirically explores the impact and mechanism of artificial intelligence on corporate environmental performance. The results illustrate that firms' ecological performance can be greatly enhanced by the artificial intelligence with this idea remaining valid following various checks for determination strength. The results from mechanism-based assessment indicate that implementation of AI in businesses is useful for promoting green innovation process while mitigating financial risks that influences corporate environmental performance positively. The correlation between artificial intelligence and environmental performance is stronger concerning state ownership, heavily polluting, and stringent environmental regulation of firms according to heterogeneity analysis. The research shows the way that artificial intelligence affects ecosystems, alongside its mechanisms, fosters a new perspective upon artificial intelligence and environmental excellence., Competing Interests: Declaration of competing interest We declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

With the emergence of digital transformation, China confronts the dual challenge of fostering sustainable economic and social development while fulfilling its "dual-carbon" commitments. Is the digital-real economy integration a blessing or a curse for inclusive green development? The study was conducted under this backdrop. This paper explores the impacts and mechanisms of digital-real economy integration on carbon emission efficiency, utilizing panel data from 274 Chinese cities over the period from 2011 to 2021. The results indicate that this profound integration significantly enhances urban carbon emission efficiency, although this relationship is partially mediated by industrial structure upgrading. Additionally, natural resources dependence may compromise efficiency gains, exhibiting varying effects across different contexts. The impact of digital-real economy integration on carbon efficiency (Cee) manifests as a non-linear U-shaped relationship that intensifies with increased integration. Heterogeneity analysis reveals that major, eastern, coastal, and resource-scarce cities experience the most profound benefits. These findings highlight the urgency of advancing digital carbon neutrality and offer strategies for emerging economies to transcend traditional constraints, thereby achieving green economic recovery and inclusive development., Competing Interests: Declaration of competing interest No conflict of interest exits in the submission of this manuscript, and the manuscript is approved by all authors for publication., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Biochar has been shown to enhance soil quality and agricultural yields. Previous studies about biochar's effect on soil properties mainly concentrated on the top 30 cm layer but less on the subsoils. Given the subsoil's active role in climate change mitigation and its significance for nutrient cycling and crop productivity, understanding biochar's effects at depth is crucial. This study explored the responses of soil organic carbon (SOC), total nitrogen, available potassium, available phosphorus, pH, and electrical conductivity to different doses of biochar addition (0, 10, 20, and 30 Mg/ha) over the 1 m depth of alkaline soil. Additionally, the impact of biochar on soil microbial community was assessed in the top 20 cm. Results demonstrated that biochar addition can increase SOC and improve soil properties in deep soil horizons. Specifically, a 30 Mg/ha biochar addition increased SOC by 1.2-10.1 Mg C/ha in the 10-40 cm layer and by 3 Mg C/ha in the 60-80 cm depth over two years. Additionally, biochar addition at this rate increased total nitrogen by 0.2-0.3 g N/kg in the 10-40 cm depth and elevated available potassium across the 1 m profile, with a maximum increment of 313 mg/kg in the surface 10 cm and a minimum of 97 mg/kg in the 40-60 cm depth. While biochar application did not increase available phosphorus, it resulted in a minor decrease in soil pH (<0.7 units) and a slight increase in electrical conductivity. Moreover, biochar addition did not significantly alter the soil microbial community. Our findings underscore the importance of considering subsoils when evaluating biochar's impact on soil properties. We suggest that subsoils should be considered when estimating the potential of cropland management for increasing soil carbon sequestration and improving soil conditions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In recent years, fintech has rapidly developed on a global scale, bringing about significant transformations across various industries. Particularly in the energy sector, the potential of fintech to promote corporate green investment has increasingly become a focus. As the energy industry accounts for a significant proportion of global greenhouse gas emissions, guiding companies in implementing green investment has become an important issue for environmental protection and sustainable development. However, previous studies have rarely systematically investigated the influence of fintech on corporate green investment in the energy industry and the mechanisms involved. Hence, this study aims to bridge this research gap within the context of China. By utilizing valid survey data from 466 corporations in the Chinese energy industry and the method of structural equation modeling, the results indicate that: (1) Fintech can promote corporate green investment in the energy industry. (2) Fintech can promote corporate data-driven decision-making capability, information transparency, and sustainable development strategy. (3) Data-driven decision-making capability, information transparency, and sustainable development strategy can also promote corporate green investment in the energy industry. (4) Mediation analysis reveals that data-driven decision-making capability, information transparency, and sustainable development strategy each play a mediating role in the impact of fintech on corporate green investment. (5) Comparative analysis of the mediation effects indicates that there is a certain degree of difference among these three variables' mediating effects, but it did not reach a statistically significant level. This study provides rich insights for business practices, encouraging companies to strengthen their focus on green investment in the fintech era and offer guidance and recommendations to relevant stakeholders, thereby providing practical guidance for corporate green transformation and sustainable development. Finally, this research also contributes to policy development and optimization., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Understanding the spatiotemporal dynamics of the environmental effects associated with paddy field utilization (PFU) is imperative for safeguarding the availability of food while preserving the environment. While thorough investigations have been carried out on the individual environmental effects of PFU, study on comprehensive environmental effects of PFU and the spatial inequity issues stemming from the transfer of these effects are scarce. This study aims to quantify the greenhouse gas emissions (GHGE), nitrogen emissions (NE), and water consumption (WC) linked to PFU in China from 2000 to 2020. Additionally, it evaluates the transference of environmental effects through the inter-provincial rice flow and examines the resultant spatial inequity issues. The intensity of GHGE has demonstrated a consistent increase, while the intensity of NE has shown a fluctuating yet generally decreasing trend. Provinces with high water footprints are predominantly located in the northern regions. Specifically, GHGE increased by 3.54 Mt, primarily due to intensified agricultural inputs. NE decreased by 0.08 Mt, largely influenced by the enforcement of sustainable agricultural practices. WC escalated by 3.49 billion m 3 , chiefly as a result of heightened groundwater dependence. Significant increases in environmental effects were observed in Northeast China Plain (NECP) and Middle-lower Yangtze Plain (MLYP), whereas Yunnan-Guizhou Plateau (YGP), Southern China (SC), and Sichuan Basin and surrounding regions (SBSR) experienced reductions. The volume of inter-provincial rice flow initially surged before witnessing a decline, with a net increase of 15.59 Mt in rice outflow from NECP. The transferred volumes of GHGE, NE, and WC within China surged by 123.87%, 105.26%, and 119.05%, respectively. Huang-Huai-Hai Plain (HHHP) and SC emerged as principal outflows of environmental effects, while MLYP and NECP became the main inflows, exacerbating regional environmental disparities. Lorenz curves for GHGE, NE, and WC indicate a growing deviation from the line of absolute equality, highlighting a substantial increase in spatial inequality regarding the environmental effects of PFU in China. Moving forward, it is crucial to optimize PFU and rice flow patterns to mitigate the specific regional environmental effects, enhance the spatial efficiency of rice production, and promote spatial equity in environmental effects., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

With increasing temperatures, changing weather patterns and ongoing development, it is becoming increasingly important to clarify the evolution mechanism of future regional streamflow processes and their controlling factors. In this study, an integrated framework for watershed streamflow prediction based on a Global Climate Model (GCM), the Patch-generating Land Use Simulation model (PLUS), and the Soil and Water Assessment Tool (SWAT) was proposed in the middle Yellow River. The results indicate that, compared with the baseline period (1989-2018), levels of precipitation and maximum and minimum temperatures are expected to increase in the next 30 years, resulting in a warmer and wetter regional climate. Under various climate scenarios, the annual streamflow is projected to increase by 49.2-115.1%. The acreage of various land types may have tended to be saturated, and the main land types such as cropland, forest and grassland have little change (-6.6%-0.6%), so the impact on streamflow will be correspondingly reduced. Under various land use scenarios, the annual streamflow is projected to increase by 5.0%-7.3%. The annual average streamflow trends under the combined climate and land use scenarios are consistent with the climate change scenarios, while the mean values corresponding to the combined scenarios are higher than those of the single scenario. Findings show that climate change is the main driver influencing streamflow, with a contribution of 86.3%-95.1%. This study deepens understanding of the change pattern and influence mechanism of the streamflow process, which can provide a scientific basis for the development and refinement of regional ecological construction plans., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Changes in soil phosphorus (P) distribution and budget critically impact the sustainability of agricultural systems. Yet, few studies have examined the long-term evolution of cropland (and crop-specific) P budget and use efficiency (PUE) at a grid level. Here, we conducted a comprehensive evaluation of the cropland P budget and PUE and their human-environmental drivers in China during 1992-2018 at a spatial resolution of 0.1°. The results reveal a significant shift in China's cropland P budget from a deficit of -3.70 Tg P yr -1 in 1992 to a surplus of 0.31 Tg P yr -1 in 2018, mainly driven by increased fertilizer application and decreased soil erosion by water. The concurrent national average cropland PUE initially decreased from 0.51 in 1992 to 0.34 in 2003, but afterwards increased to 0.39 in 2015. An environmental-Kuznets-curve-like (EKC) relationship was identified between the national average P budget (inverted U-shaped) or PUE (U-shaped) and per capita GDP in China, with the turning point occurring in 2013 for the previous and at per capita GDP of US$8.85 k (constant 2017 US$) for the latter. But PUE had been well below a threshold of 0.40 at the national level after crossing the turning point and showed a considerable trend divergence among crops, particularly for cash ones. Spatially, northern and northwestern China exhibited high positive P budget but achieved relatively low PUE in the 2010s. Crop leaf area, irrigation, fertilizer input, and precipitation were identified as the most important factors determining the multi-year spatial pattern of P budget, while fertilizer input, temperature, and residue return played a dominant role in regulating PUE. Our findings highlight the need for a long-term commitment to regionalized and crop-specific synthetic management practices for controlling P inputs and minimizing P loss in the context of global change in China., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In the face of diminishing traditional subsidy models and the constraints of grid-dependent transactions, this study explores trading models as a catalyst for rural electrification and sustainable development in China. Highlighting the emergence of rural photovoltaic (PV) prosumers, we propose trading models through cooperative alliances to facilitate market engagement within a peer-to-peer (P2P) framework. By applying the Shapley value for the equitable distribution of internal revenues, the study elucidates the complex interrelations between rural prosumers and the electrical grid, fostering a better understanding of their mutual interests. Further, we introduce a dynamic game-theoretic model to investigate the evolving market behaviors under diverse strategic influences among rural prosumer groups and the grid. Using numerical simulations based on real-world data from Shanghang County, Fujian Province, we analyze surplus and deficit electricity production scenarios within these alliances. The findings underscore the effectiveness of the cooperative alliance trading model in aligning individual, collective, and societal benefits. This comparative analysis of strategic outcomes validates the model's feasibility and role in advancing sustainable rural electrification strategies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Environmental pollution coupled with high economic growth poses a significant challenge for developing countries. Achieving sustainable economic development is a crucial issue that these countries must confront. In this paper, the promoting mechanism of green finance (GF) and digital inclusive finance (DIF) on economic sustainable development (ESD) is investigated. We develop the Economic Sustainable Development Index (ESDI), the Green Finance Development Index (GFDI), and the New Quality Productivity Index (NQPI) to evaluate economic sustainability, green finance advancement, and new quality productivity (NQP), respectively. Utilizing comprehensive panel data encompassing 13 prefecture-level cities in Jiangsu province from 2013 to 2022, we examine how GF and DIF foster sustainable economic development in Jiangsu through NQP. Empirical results show that GF, DIF, and ESD in Jiangsu are increasing, with southern Jiangsu leading the way. Moreover, the growth of GF and DIF positively impacts ESD. Furthermore, NQP serves as a pivotal mediator in the relationship between GF and DIF and their influence on ESD. Consequently, there is a need for the government and financial sectors to further enhance green finance policies, digital infrastructure, the dissemination of GF and DIF, and funding to nurture new quality productivity., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Low-molecular-weight organic acids (LMWOAs) play a crucial role as components of dissolved organic matter in soil, influencing the sorption/desorption, degradation, and plant uptake of diverse pollutants within the agricultural soil ecosystem. This study delves into the sorption behavior and mechanism of the fluoroquinolone antibiotic enrofloxacin (ENR) on agricultural soil in North China, focusing on the impact of LMWOAs. Through batch equilibrium experiments, we explored the sorption/desorption kinetics of ENR under varying conditions such as temperature, pH, ion strength, and ion type, with the addition of acetic acid, oxalic acid, and citric acid individually. Our findings reveal that the sorption and desorption kinetics of ENR-whether with or without LMWOAs-conformed well to the pseudo-second-order kinetic model (R 2  ≥ 0.997). The presence of LMWOAs notably enhanced ENR sorption while impeding desorption in soil, with oxalic acid demonstrating the highest promotion effect followed by acetic acid and citric acid. Moreover, the sorption capacity and affinity of ENR decreased with rising solution pH, dropping from 96.8%-98.5% to 30.9%-34.4%. Acidic conditions favored ENR retention in soil, with inhibition of sorption escalating alongside increasing ionic strength. LMWOAs, soil solution pH, and coexisting ions emerge as pivotal factors shaping ENR sorption behavior. Furthermore, LMWOA presence intensified desorption hysteresis of ENR on soil, with a desorption hysteresis coefficient (HI) ≤ 0.124. These results suggest that LMWOAs restrict ENR mobility in the local soil environment, heightening the risk of its accumulation in soil and crops. This study offers valuable insights into the intricate interplay among LMWOAs, ENR sorption dynamics, and environmental outcomes, underscoring the importance of understanding such complexities in agricultural soil management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The algal-bacterial granular sludge (ABGS) system is emerging as a promising technology for future wastewater treatment. This study assessed the impact of different algae species inoculation on granulation, performance, and microbial communities within ABGS systems. The experimental setup included single-species inoculations (Chlorella sp. (R1), Scenedesmus sp. (R2), and Desmodesmus sp. (R3)) and a mixed-species inoculation strategy (R4). Results revealed that R4 achieved the fastest completed granulation process (15 days) with the largest average granule diameter (772.93 μm) and highest physical strength (2.24 ± 0.26%) in the end of the experiment. The relative abundance of extracellular polymeric substances secreting bacteria of R4 maintained high level in whole operation time. Algae assimilation capacity and the abundance of functional bacteria can also influence removal performance. In mature stage, only the average effluent total nitrogen (3.15 ± 2.87 mg/L), total phosphorus (0.37 ± 0.27 mg/L), chemical oxygen demand (25.25 ± 2.98 mg/L) concentration in R4 was lower than that of Grade I discharge standard of municipal wastewater treatment plants in China. The best inorganic carbon utilization and lipid production ability were observed in R4 and R3, respectively. The choice of inoculated algae species was identified as a key factor for bacterial community dynamics. Overall, above results demonstrated that mixed algae species inoculation can be selected as the optimal algae inoculation strategy due to its excellent granulation, performance, and acceptable carbon utilization and lipid production., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In the context of sustainable development, green rules and standards have been incorporated into the international investment system. The specific advantages driving outward foreign direct investment (OFDI) by emerging market enterprises have also undergone profound changes. Green financing plays an important role in promoting green transformation and may become a new type of competitive advantage driving OFDI by firms. Based on legitimacy theory, we explore the impact of green financing on OFDI by emerging market firms. Using data from Chinese A-share listed companies from 2008 to 2021, we find that green financing significantly promotes corporate OFDI. Improving ESG levels, alleviating financing constraints and expanding production scale are the main channels. The positive effects of green financing on OFDI are more pronounced in heavily polluting industries, capital-intensive enterprises and state-owned enterprises. This study confirms the positive impact of green financing on OFDI earlier, and also provides useful inspiration and reference for emerging market countries to improve the green financial system and actively promote global green and sustainable development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Aligning public demand with government supply of clean air aids in efficient air pollution control and enhancement of public happiness. However, comparative empirical analyses of public and government attention to air quality changes are still sparse due to data and methodological constraints. Here, we adopt multi-source data fusion approaches to assess the impacts of air pollution exposure on public and government attention. Specifically, remote and social sensing data, alongside keywords extracted from textual data, are utilized to quantify air pollution exposure and corresponding public and government attention levels in 273 Chinese cities from 2011 to 2019, and a two-stage least squares regression model is employed to tackle reverse causality issues underlying the exposure-response relationship. Our findings reveal that, on average, a unit increase in PM 2.5 levels would result in a 17.7% growth in public attention and a 12.7% rise in government attention, respectively, suggesting that demand-driven public attention tends to be more sensitive to air quality changes than policy-driven government attention. Results for the spatial-temporal heterogeneity further demonstrate that public attention varies across time and space, whereas government attention remains relatively consistent. Additionally, we have identified 116 cities exhibiting disparities between the public and government responses to air quality changes, calling for environmental policy refinements to better serve the needs of residents. This study emphasizes the necessity of public engagement in environmental governance and offers rich policy implications for air pollution control in China., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Cities, as complex systems with multi-interconnected subsystems, face significant challenges from both rapid urbanization and climate change. Ensuring high resilience in urban areas is essential for managing these dynamic risks effectively. This study introduces an innovative, data-driven approach to quantitatively analyze the spatial-temporal evolution patterns of urban resilience, validated through a case study of Chongqing, a representative mountainous city in China. Based on historical landslide data from Chongqing (2010-2020), which includes 4464 events, along with indicator data from the Chongqing Statistical Yearbook, we developed a comprehensive assessment framework. This framework incorporates 33 variables, covering indicators of physical-environmental resilience (PER) and socio-economic resilience (SER). The model integrates the Random Forest (RF) algorithm, Analytic Hierarchy Process (AHP), and Coupling Coordination Degree (CCD) model. Key findings include: (1) Social development in mountainous cities like Chongqing follows a point-to-area pattern. Although there is an overall increase in SER, the CCD in more developed areas (Chongqing urban circle) was generally higher than in less developed areas (northeastern and southeastern Chongqing) (2) The PER model demonstrated exceptional performance (AUC values consistently above 0.95). Spatiotemporal evolution models reveal that Chongqing maintains a high overall PER. Notably, from 2019 to 2020, the proportion of administrative units classified as highly resilient peaked at 24.5%, marking a historical high. (3) Multi-year average rainfall primarily impacts PER (ranked first), while Gross Domestic Product (GDP) significantly affect SER. The development of multi-dimensional recovery indicators provides a robust framework for assessing resilience against landslides in mountainous cities. The CCD model illustrates the importance of regional dynamic coordinated development in resilience trajectories. This study provides a detailed blueprint for the scientific development of resilient mountainous cities, emphasizing the need for a spatial-temporal perspective on resilience and the benefits of coordinated regional development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In response to the global consensus on achieving carbon reduction, China has introduced a series of policies aimed at accelerating the digital transformation of energy enterprises. However, these policies have revealed shortcomings such as deficiency in regulation methods and insufficient integration of regulation with technologies. This study applies evolutionary game theory (EGT) to evaluate the impacts of different environmental regulatory policies on the digital transformation and verifies the effectiveness of the theory in policy optimization. Utilizing modified real-world data, the study quantitatively examines the effects of alterations in various parameter combinations on players' strategic choices. The results indicate that: (1) increasing the regulatory intensity above 0.8, the carbon tax rate and penalties can promote the digital transformation, stimulating the low-carbon development in energy sector; (2) an interesting finding is that tax incentives such as carbon tax refund ratio can exacerbate enterprises' reliance on government compensation, thereby slowing down their transition process; (3) this study highlights the optimal service provision intensity for technological service providers (TSP) is 0.9, which can expedite system evolution towards the ideal state and foster the construction of a favorable digital regulatory environment. The study provides valuable references for optimizing regulatory policies and promoting digital transformation to realize the decarbonization goal., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Research on changes in cryosphere services is crucial for the responsible management of cryospheric resources and for fostering sustainable development in Social-Ecological Systems (SESs) impacted by the cryosphere. While previous research has primarily focused on quantifying cryospheric change through Cryosphere Service Value (CSV), the impact of cryosphere service change on Social-Ecological Systems Resilience (SESR) remains unclear. This study considers the Qilian Mountains as a cryosphere system and assesses the changes in its service value from 2000 to 2020. It also establishes a framework to analyze the spatial-temporal variations in resilience within the Qilian Mountains Area in China (QMAC) and investigates the impact of changes in cryosphere services on SESR. The findings indicate that (1) the CSV exhibited a decreasing trend followed by an increase from 2000 to 2020, with minor increases observed in the three northern inland river basins and substantial increases in other areas; (2) the resilience in QMAC improved consistently, establishing a spatial pattern characterized by higher resilience in the west and lower resilience in the east, as well as higher resilience in the north and lower resilience in the south; (3) the effects of changes in cryosphere services on SESR demonstrate significant spatial-temporal patterns, the decline in climate regulation service has a notably negative impact on ecological resilience, while the increase in value from aesthetic appreciation and tourism service positively boosts economic resilience; and (4) changes in cryosphere services affect social resilience by influencing residents' livelihoods, with more pronounced effects on SESs in areas with high land use intensity. This research provides a research avenue for examining how cryosphere service change impacts SESR and offers practical experience for promoting the stability of SESs and developing sustainable development policies in regions affected by the global high-mountain cryosphere amid climate change., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Reseeding is a primary measure to restore degraded grasslands. Numerous studies have conducted experiments to investigate how the properties of grassland ecosystems respond to reseeding in China. However, there is a lack of summary of the results of these studies. Here, we conducted a hierarchical random-effects meta-analysis on the effects of reseeding on plant, soil, and microbial properties. We collected 19 variables, including plant biomass, species diversity and richness, soil organic carbon content, soil total and available nutrients, soil water content, soil microbial biomass and diversity, and enzyme activity, from a dataset of 1363 paired observations (degraded vs. reseeded) from 75 publications. The results showed that reseeding increased aboveground and belowground plant biomass by 70.2% and 68.0% on average, respectively. Reseeding increased soil organic carbon, phosphorus, and potassium contents, but did not affect soil nitrogen levels. Reseeding increased soil microbial nitrogen under conditions of tillage and fertilization. Reseeding age was found to have a positive correlation with species richness, while planting type, fertilization, and tillage did not have a significant impact on the species richness and diversity. Under the treatments of fertilization, non-tillage, and mix-planting, the response ratio of aboveground biomass to reseeding was positively correlated with the response ratio of species diversity to reseeding. Our results concluded that current reseeding practices can significantly improve plant biomass production and soil fertility but have minor effects on plant species diversity. These findings indicate that the preservation of biodiversity should receive greater attention from both researchers and practitioners in grassland remediation in China., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

While the agricultural green transformation has garnered significant attention on the political stage as a crucial strategy for climate change mitigation and sustainable development, there remains a notable gap in our understanding of the prevailing logics that shape organizational decisions on this change in emerging economies. Drawing on the institutional logics perspective, this study explores the impact of state logic (manifested through green credit policy) and market logic (manifested through analyst attention) on agriculture-related firms' (ARFs') green transformation, as well as the moderating effects of organizational transparency and environmental, social, and governance (ESG) level. Using longitudinal data on 201 publicly listed ARFs in China from 2008 to 2020, we find that both state and market logics exert unique effects on facilitating the green transformation of ARFs. More notably, a complementarity between the two logics in offering value for ARFs' green transformation is revealed. This complementary effect becomes more pronounced for organizations with a higher level of transparency or a superior ESG profile. Our study contributes to the neo-institutional perspective of organizational green transformation, a better understanding of conflicting institutional logics in emerging economies, and research on agricultural sustainability., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Accurately quantifying the impact of climatic and anthropogenic factors on vegetation change is critical for developing and evaluating ecological management strategies. However, most presented studies typically ignore the climate temporal effects and assume that all pixels are affected by both climate change (CC) and human activities (HA), which often introduce uncertainties. In this study, Leaf area index (LAI), temperature, precipitation, solar radiation, and land cover data from 1982 to 2020 were used to detect and attribute vegetation dynamics in China. We used partial correlation analysis, generalize linear model, trend analysis, and improved RESTREND to analyze the spatiotemporal variation characteristics of vegetation LAI from 1982 to 2020 and to quantify the effects of CC and HA on vegetation dynamics since the implementation of the Grain for Green Project (GGP). The results indicate that significant vegetation greening appeared in most areas (66.2%) between 2000 and 2020. Both CC and HA have positive effects on vegetation greening. In arid and semi-arid regions, precipitation was the primary driver of vegetation change, while in high-latitude areas of southern and southwestern China, temperature was the primary determinant. After considering the temporal effects, the explanatory power of climate variables for vegetation dynamics increased by 4.0% compared to ignoring the temporal effects, accounting for 72.81%. After dividing the pixels into those affected by CC and those affected by both CC and HA, the contribution of HA was decreased from 31.19% to 25.96%. Although the contribution of HA is lower than that of CC, ecological engineering has effectively promoted vegetation greening. These research findings provide scientific data and theoretical basis for ecological environment protection and natural resource management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Environmental management literature suggests that elevating the total factor productivity (TFP) of the renewable energy (RE) industry is pivotal for achieving green development. With intensifying market competition in the RE sector, collaborative innovation (COI) has emerged as a crucial strategic choice for enterprises to address developmental bottlenecks. To assess the potential of COI in driving green development, we leveraged data from 114 Chinese RE enterprises from 2011 to 2022. The research findings indicate: (1) COI significantly enhances the TFP of RE enterprises; this enhancement primarily stems from the positive influence of COI on innovation capabilities. (2) The positive effects of COI on TFP manifest only when market competition surpasses a certain threshold level. (3) COI significantly impacts the TFP of small and medium-sized RE enterprises in the growth stage., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Greenways serve as important carriers for leisure and recreational activities in urban areas, and the visual landscape quality is a crucial consideration in greenway construction. Scientific and reasonable evaluation of visual landscape quality is significant for planning, construction, and management of greenway systems. This study focuses on the greenways in the Chengdu Urban Ecological Zone. Utilizing image segmentation technology, we constructed an image-based evaluation index system, and innovatively introduced color harmonization and visual entropy to better evaluate dynamic visual landscapes. Based on the Perceived Sensory Dimensions framework, this system is designed to assess the dynamic visual landscape quality, incorporating the dimensions of harmonization, richness, and distinctiveness. The following research findings are obtained: 1) The greenway landscape is complex and diverse. Creating an evaluation system for dynamic visual quality helps assess the landscapes' natural and cultural aspects in a multidimensional, quantitative, and objective way; 2) There are spatial variations in the visual landscape quality of the greenways in the Chengdu Urban Ecological Zone. By dividing the greenways into evaluation units with characteristic parks as nodes, it is found that high-value sections of visual landscape quality are distributed in the southeast part, while low-value sections are distributed in the southwest, and #17 has the highest visual landscape quality at 0.62; 3) The different land cover types on either side of the greenway show a coordinating or inhibiting effect on visual landscape quality. Ecological lands showed a coordinating effect on visual landscape quality, agricultural lands showed a suppressing effect on visual landscape quality, and construction lands showed a coordinating effect on characteristics. The proposed method for analyzing visual landscape quality can support the planning, construction, and management of regional greenway systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Human activities, intensified urbanization and climate changes altered source and quantity of dissolved organic matter (DOM), complicating its interaction with phytoplankton in aquatic ecosystems. However, relationship between DOM and phytoplankton in urban lakes strongly disturbed by human activities was still unclear. Thus, a whole-year sampling campaign was conducted in the Tangxun Lake, China's largest urban lake, to reveal the interaction between DOM and phytoplankton. Results indicated that trophic state in the Tangxun Lake varied from mesotrophic to moderately eutrophic. Parallel factor analysis method combined with excitation-emission matrix fluorescence spectroscopy revealed that DOM in the Tangxun Lake consisted of three components, two protein-like components (C1, C3), and one humic-like component (C2). Protein-like components occupied 80% ± 11% of total CDOM pool, mainly due to urbanization driving DOM to be more protein-like, less humic-like. Besides, DOM in the Tangxun Lake was mainly autochthonous input and more recently formed. Furthermore, a total of 129 phytoplankton species were identified, belonging to 78 genera and 7 phyla. Tangxun Lake's phytoplankton community structure was dominated by the Chlorophyta-Bacillariophyta-Cyanophyta type. The temporal succession of phytoplankton varied significantly. It was found that the abundance of Cryptophyta and Cyanophyta were predominant in the mesotrophic state, while Cyanophyta and Bacillariophyta were prevailing in the eutrophic and middle-eutrophic states. As for the interaction between DOM and phytoplankton, results demonstrated that phytoplankton biomass was significantly positively correlated with a (254), a proxy of DOM abundance. Moreover, phytoplankton abundance and biomass significantly positively correlated with autochthonous and freshly released DOM, indicating that the more autochthonous and freshly released DOM, the higher phytoplankton abundance and biomass. Overall, this study provides profound environmental implications for aquatic ecosystem management, especially those strongly affected by human activities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Sustainable development needs to rely on green innovation. Enterprise ESG performance rating to alleviate the information asymmetry between enterprises and investors, for the green innovation provides development opportunities. However, there is a lack of research on the mechanism of the two based on the perspective of financing constraints. Therefore, considering the theories of sustainable development, green innovation, financing constraints and stakeholders, the basic mechanism and non-linear mechanism of ESG and green innovation are explored, aiming to provide reference for playing the role of ESG performance in promoting green innovation. The results show that better ESG performance can significantly promote the output of green innovation, and this promoting effect exists for both high-end green innovation and low-end green innovation, and its main channel is to alleviate financing constraints. In addition, this incentive exists a double threshold of digital finance and a single threshold of enterprise scale. Perfect digital finance and larger enterprise scale will strengthen the incentive effect of enterprise ESG performance on green innovation output. Considering financing constraints, this study further clarifies the relationship between enterprises ESG performance and green innovation, enriching the theoretical framework of green innovation and offering a new pathway for advancing green innovation among Chinese enterprises., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Enhancing urban green total factor productivity (UGTFP) is of great significance in driving the green transformation of cities. The integration of the digital economy and real economy (IDR) offers a novel approach to improving UGTFP. This paper constructs a theoretical analytical framework to examine the impact of IDR on UGTFP. Utilizing a range of econometric models and Chinese urban data, this paper empirically analyzes the influence, mechanism, and spatial spillover effect of IDR on UGTFP. The findings reveal that China's IDR is currently at a stage of low integration, exhibiting significant regional disparities, with a spatial distribution pattern declining from east to west. IDR can significantly enhance UGTFP, and the conclusion is supported by robustness tests. Heterogeneity analysis indicates that the positive effect of IDR on UGTFP is more pronounced in the eastern and western regions, as well as in areas with a large Internet scale. The mechanism test suggests that economic agglomeration can significantly amplify the promotional effect of IDR on UGTFP. IDR can boost UGTFP by elevating innovation levels and optimizing labor resource allocation. Further exploration reveals a significant positive spatial spillover effect of IDR on UGTFP. These insights not only offer a practical pathway for green transformation but also provide empirical evidence for policymakers to formulate scientific policies, enhance coordination, and improve data governance, thereby facilitating high-quality and green economic development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Using dredged sediment as plant growth substrates is a promising way to deal with large amounts of excavated sediments. However, it is a big challenge to deal with various pollutants in sediments, among which microcystins (MCs) gained limited attention. In this study, sediments collected from Lake Taihu were mixed with agricultural soil at a 1:1 ratio to create various growing substrates for lettuce (Lactuca sativa L. var. ramosa Hort.). Results indicated that fresh weight and leaf area of lettuce increased in some sediment-amended treatments due to additional nutrients, but food quality was negatively affected by sediment amendment as suggested by the soluble sugar and Vitamin C levels. MCs were detected in all lettuce grown in sediment-amended substrates, particularly in treatments with sediments collected during the bloom. The highest MC contents were found in treatment amended with sediments collected from Meiliang Bay in August (88.6 μg kg -1 for MC-LR and 65.6 μg kg -1 for MC-RR). MC accumulation in lettuce and the associated human health risks were significant, especially in treatments with sediments from the bloom period. Ecological risk assessments revealed high RQ values, indicating potential harm to the soil ecosystem. This study underscores the importance of considering MC content in sediments when evaluating their use as growing substrates. The findings contribute to understanding the environmental and health implications of sediment reuse, offering insights for safer agricultural practices and sediment management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The urbanization process has significantly impacted urban morphology, which in turn has led to changes in the urban surface thermal environment (USTE). A summarization of the empirical patterns of past urban morphology changes and an evaluation of the USTE effects produced by different patterns will contribute to the advancement of scientific knowledge regarding the response of USTE to urban morphology changes and facilitate the development of sustainable urban planning and design practices. This study investigated the response of USTE to urban morphology from the overall and local based on the Local Climate Zone (LCZ) framework during 2005-2020 in Nanjing. The results validated the rationality of the LCZ framework for describing urban morphology changes and their USTE responses. It was found that the overall USTE was continuing to deteriorate, with an increase in high temperature and sub-high temperature areas. LCZ 4, LCZ 5, and LCZ 8 were the major contributors to overall urban heat, and their growth in the amount and changes in USTE characteristics mainly caused the overall USTE deterioration. In localized areas, it was found that urban regeneration had the most potential to optimize USTE. The conversion processes of LCZ 5 to LCZ 4, LCZ 8 to LCZ 4, and LCZ 8 to LCZ 5 were considered more advantageous in improving daytime USTE, which should be advocated. The results can provide important insights into the perception of urban morphology and USTE, and support the urban regeneration policies for climate-resilient cities from the environmental performance perspective., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The Yanhe Watershed, emblematic of the loess hilly-gully landscape and ecological fragility in China's Loess Plateau, has experienced significant soil erosion and extensive soil-water conservation measures. To elucidate sediment dynamics and identify influencing factors in this region from 1960 to 2020, a novel multidimensional multiscale complexity analysis (MMCA) method was developed, based on entropy and complexity perspectives. This method integrated the refined composite multiscale fuzzy entropy (RCMFE) with multidimensional complexity analysis, offering a nuanced evaluation of sediment complexity and its implications for water resource management and ecological restoration. The findings revealed two distinct stages of sediment complexity variations: 1971-1988 and 2000-present. During the first period, the operation of the Wangyao Reservoir predominantly influenced sediment dynamics, initially reducing sediment complexity through sediment interception but later increasing it during discharge phases, particularly at larger scales. After 2002, extensive vegetation restoration efforts significantly reduced sediment complexity but raised concerns about long-term ecosystem resilience. Over the past decade, urbanization and climate change have exacerbated sediment instability, especially over semi-annual scales. This study advocates for management strategies that prioritize ecosystem sustainability and address the challenges posed by climate change and urbanization, facilitating improved soil and water conservation efforts in the Yanhe Watershed and similar regions in the Loess Plateau., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Despite growing interest in soil microbial resource limitation (MRL), the impacts of clipping-and-burning on bacterial resource acquisition and its soil carbon, nitrogen, and phosphorous stoichiometry (C:N:P) remain unclear, yet are critical for nutrient cycling and SOC accumulation in vegetation restoration. We examined the soil C:N:P and eco-enzymatic stoichiometry, bacterial life-history strategies, and bacterial resource limitation under the influence of clipping-and-burning management practices: high-intensity fire (HIF), low-intensity fire (LIF), clipping-and-fire (CF), clipping (CP), and an undisturbed control (CK) in a Karst site in southwest China. The results showed that SOC, TN, and TP in HIF and LIF were significantly (p < 0.05) reduced (by 64%, 97%, and 99%) compared to CK. However, soil C:N, C:P, and N:P ratios were surprisingly higher (18.1, 56, and 3.08) in CF than in CK. The ratios of soil microbial biomass carbon (MBC) and nitrogen (MBN) were higher (4.8) under clipping. In contrast, their ratios with microbial biomass phosphorus (MBP) were observed to be higher (22.3 and 6.4) under high-intensity fire compared to CK. Moreover, results show that there is a higher percentage of species linked with oligotroph bacteria of Rickettsiales in CF treatments than CK. Soil bacterial communities in CF treatments exhibited co-limitation by C and P, whereas N limitation was more pronounced under low-intensity fire conditions. In conclusion, the evidence links MRL to soil C:N:P stoichiometry, underscoring the critical role of oligotrophic bacteria in mediating soil nutrient dynamics under clipping-and-burning disturbances. These findings improve our understanding of MRL over the Karst region under clipping-and-burning treatments, shedding light on its relationship with soil C:N:P, eco-enzymatic stoichiometry, and bacterial life-history strategies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Carbon labeling (CL) is a carbon reduction policy with development potential that has not yet been widely promoted worldwide. This study explores the trend of consumers' willingness to pay (WTP) for different types of carbon-labeled products from a dynamic perspective, to provide a reference for future pilot projects. The research team collected 3788 valid questionnaires from China's first-tier cities spanning a five-year period and used interval regression to analyze the impact and change of consumer traits on WTP for the four types of carbon-labeled products in 2019 and 2024. The bootstrap method was further used to examine the impact mechanisms to explore ways to improve the current situation. This study found that (1) WTP for food, textiles, electronics, and other household products with CL generally decreased from 2019 to 2024. Textiles and electronics experienced a smaller decline, while food and other household products witnessed larger decreases. (2) The effect of consumer characteristics on WTP changes from 2019 to 2024. Consumers' frequency of low-carbon behaviors no longer significantly affects WTP across all product categories, while attitudes toward CL only affect textiles and electronics. (3) Consumers' perceived environmental value is the mechanism by which personal traits affect WTP. Finally, based on the findings, this study suggests that the selection of textiles and electronics as a pilot product is more likely to be accepted by consumers and that emphasis should be placed on the promotion of the environmental values of CL., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Urban green space (UGS) provides multiple ecosystem services to enhance the residents' well-being in the cities. As a characterization of differences in the degree of interaction between residents and UGS, Green exposure equity, has been recognized as an environmental justice issue. In this study, we propose the concept of urban green space' vitalization (UGV) as a primary criterion for assessing whether the UGS' functions or services are realized. Taking Shanghai, China as a case study, we developed an assessment system for UGV, and quantified UGV's availability to examine the impact on green exposure equity. Our research shows that 1000 m is the optimal service radius to determine whether UGS vitality is realized. All UGS in the central regions of Shanghai have realized their vitality, while areas devoid of vitality are mainly located in the non-central. Compared to UGS, the availability of UGV in Shanghai was cumulatively reduced by 321.07 km 2 , 10,812.61 km 2 , and 197,496.54 km 2 for walking, public transport, and driving modes, respectively. In the non-central regions, the minimum green availability per capita for walking and public transport modes was reduced to 0 ha. The influence of UGV on green exposure equity varies depending on research scales and travel modes, as it is affected by heterogeneity in the distribution of UGS and population. Our research confirmed that UGV significantly reduces green availability and influences green exposure equity. Green exposure equity could be significantly improved by UGV under public transport mode and the district scale. Therefore, UGV is an essential factor in quantifying the equity of green exposure. Our research can serve as a basis for more realistic measurements of green exposure equity, providing insights for improving environmental justice in sustainable cities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

With the intensification of environmental issues, environmental policies have played an increasingly important role in the Chinese economic system. The previous literature focuses on the impact of environmental policies on the green transformation of enterprises but pays little attention to policy-related environmental risks. In this way the impact of environmental policy uncertainty on enterprise green transformation remains a black box, which forms the initial motivation of this essay. In this study, under the real options theory assumption, we use Word2vec machine learning technology and text information from the annual reports of Chinese listed companies to measure environmental policy uncertainty at the enterprise level and examine its impact on enterprise green transformation and mechanism. Results indicate that environmental policy uncertainty has a significant negative impact on the green innovation and total factor productivity of the Chinese enterprises, which can lead to a green upgrading dilemma. The mechanism analysis shows that EPU suppresses enterprise green transformation by crowding out research and experimental development investment and intensifying enterprise financialization. In addition, The moderating effect analysis reveals that strong external market competition, capital market attention, and environmental information transparency can alleviate the negative impact of environmental policy uncertainty on enterprise green transformation to a certain extent. Furthermore, the short-sighted behavior of enterprise management can strengthen the negative impact of environmental policy uncertainty on green transformation. Finally, policy implications are provided to shed light on this essay's theoretical and practical values: the government should maintain the clarity, consistency, and stability of environmental policies to provide strong guarantees for the green transformation of enterprises.This paper broadens the scope of research on green transformation, offers new development philosophy for enterprises' green transformation, and provides new directions for the synergistic development of environmental policies and green transformation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Given the research situation of toxic metals (TMs) pollution in farmland soil, it is very critical to study the clay influence on TMs environmental behavior to meet the aim of lowering TMs pollution. This research explores the association among clay minerals and TMs and the health risks in TMs combined polluted farmland of northern China. In this study, agricultural soil, wheat grain, and atmospheric sediments from nonferrous metal smelting (NMS) areas were collected and investigated to determine the effect of clay minerals on TMs. The results show that the content ranges of Cd (0.199 mg/kg ∼1.98 × 10 2  mg/kg), Pb (0.228 × 10 2  mg/kg ∼ 4.87 × 10 3  mg/kg), Cu (0.187 × 10 2  mg/kg ∼ 4.57 × 10 3  mg/kg), and Zn (0.559 × 10 2  mg/kg ∼ 3.04 × 10 3  mg/kg) in the agricultural soil. In particular, Cd has reached heavy pollution by the high pollution index (6.74). The findings indicate that Cd and Pb in wheat grain were influenced by their exchangeable fractions in soil, according to a significant relationship between Cd and Pb in soil and wheat grain. XRD-SEM suggests that TMs come from atmospheric sediments associated with NMS emissions by microsphere signatures with surface burn marks. Meanwhile, Geographical detector indicated that clay was the primary contributor to spatial distribution of Cd and Pb. In addition, XRD results showed that I/S (a mixed layer of illite and smectite), illite, chlorite, and kaolinite co-existed. Whereas the clay minerals with this ratio did not demonstrate better adsorption capacities for Cd and Pb due to the Cd percentage of the residual fraction being less than 9%. The result of negative correlation between exchangeable Cd and clay minerals implies that illite, chlorite, and kaolinite may preferentially adsorb Cd and Pb. It is similar to the relationship between Cd and Pb in wheat grain and illite, chlorite, and kaolinite. In addition, the health assessment result show that the negative correlation between clay minerals and the noncarcinogenic hazard quotient (HQ) and indicate that clay minerals could reduce the noncarcinogenic risk of Pb and Cd for children. Our findings provide a potential mechanism and application of clay minerals for the remediation of soil contaminated with TMs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

In response to the dual challenges of climate change and environmental degradation, China is prioritizing efforts to manage both pollution and carbon emissions. Given China's leadership in global copper smelting, recycling substantial amounts of copper slag is considered a key strategy for environmental improvement. This study applies life cycle assessment (LCA) to evaluate the environmental benefits of three copper slag recycling strategies. Building on the LCA results, we introduced a synergistic reduction index system that assesses the combined effects of pollution mitigation and carbon reduction. Findings indicate that utilizing recycled copper slag in building materials not only significantly reduces local industry emissions but also demonstrates substantial synergistic effects. This strategy optimally reduces both air pollution and carbon emissions, largely due to the substitution of high-pollution materials with recycled copper slag. Based on these insights, we propose targeted recycling strategies tailored to regional needs and capacities, thereby offering practical suggestions for the sustainable management of copper slag., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Renewable portfolio standards (RPS) and tradable green certificate (TGC) systems are mandatory institutional change that promote the renewable energy development and improve the environment in China. Their implementation will cause collective action issues among market entities. Collective action of participating in TGC trading is crucial for transaction success and the effectiveness of system implementation. This paper takes the collective action of heterogeneous market entities participating in TGC trading as the starting point. This paper simulates the strategy selection and group behavior evolution of different market entities under multiple scenarios, and analyzes collective action's evolutionary path and equilibrium results under different group combination environments. It explores the success rate of TGC trading under different heterogeneous entities combinations through an evolutionary game model, revealing the reasons for low liquidity of China's TGC market. The results show that: (1) Heterogeneity is an important factor affecting the success of TGC collective action. (2) When TGC suppliers and demanders are egoists, collective actions appear in multiple equilibria. As egoists decrease, the probability of market entities participating in collective actions increases, and TGC transactions are more successful. (3) Altruists can shorten the time for collective action to achieve equilibrium and reduce the possibility of multiple equilibria. (4) TGC suppliers play a greater guiding role in the transaction. When TGC suppliers are altruists, the probability of TGC demanders participating in collective action tends to 1. Conversely, TGC transaction success rate is 50%., Competing Interests: Declaration of competing interest There is no conflict of interest between the authors., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The main stream of the Tarim River is a crucial part of China's ecological security strategy within the "two screens and three belts" framework, serving the "northern sand control belt" and the ecological civilization corridor. Evaluating and understanding desertification dynamics and driving factors is essential for achieving the United Nations Sustainable Development Goals and promoting ecological civilization. This study, based on the United Nations Convention to Combat Desertification, quantified the desertification process of the Tarim River's main stream from 1990 to 2020 using Landsat series satellite imagery from Google Earth Engine. Additionally, we employed panel data models to analyze the driving roles of climate change, socio-economic factors, and policies in desertification.Results indicate that between 1990 and 2020, desertification in the main stream of the Tarim River initially intensified, with 15% of the area experiencing desertification between 1990 and 2000. However, this trend was subsequently reversed, with only 0.6% of the area undergoing desertification over the 30-year period. Extensive economic development (-37.2%) and population growth (-48.7%) were the predominant factors exacerbating desertification in the initial period (1990-2000), whereas positive policies (55.3%) were the key to reversing desertification in the main stream of the Tarim River over the past 30 years.We also explored whether policies necessarily play a positive role in combating and preventing desertification. Based on this, we suggest actively engaging in interdisciplinary research and linking research outcomes with practical situations to formulate scientifically sound policies and measures for desertification prevention and control., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

A comprehensive understanding of the logistics decoupling status and driving factors is of immense theoretical and practical importance for rationally formulating low-carbon logistics policies and accelerating the realization of high-quality development. Present study introduces the logarithmic mean Divisia index method (LMDI) decomposition technique into Tapio index model, extends traditional decoupling model, and establishes a new analytical framework for the decoupling relationship between logistics growth and carbon emissions. Using long-term data from Chongqing (1997-2021), this study investigated the Chongqing logistics decoupling relationship and driving factors. The study found the following: (1) Chongqing logistics carbon emissions show phased changes and face greater pressure to reduce emissions. (2) The decoupling status of logistics growth and carbon emissions is predominantly expansive and weak decoupling, with an overall evolutionary trend of "expansive decoupling-weak decoupling-strong decoupling. The average decoupling index in 2013-2021 was 0.5523, indicating a decreasing trend; however, there was still a large gap in realizing a strong decoupling goal. (3) The energy consumption intensity effect facilitates logistics carbon decoupling, the economic scale effect has a strong inhibiting effect, and the industrial structure effect and transportation intensity effect are staged. Finally, targeted policy recommendations are proposed to expedite logistics carbon emissions decoupling in Chongqing., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Wetland restoration has a significantly impacts biogeochemical cycles. However, the specific mechanisms and potential microbial processes by which wetland restoration influences litter decomposition remain unclear. This knowledge gap hinders our ability to accurately predict ecological processes within wetland ecosystems across various restoration timeframes. Therefore, we conducted an in situ experiment was conducted in wetlands in Northeast China using the litterbag method, involving a restoration time gradient. Natural wetlands served as controls, with wetlands restored for 17 years (R17), 3 years (R3), 2 years (R2), and 1 year (R1). The study focused on two typical wetland plants: reed (Phragmites australis) and sedge (Cyperus rotundus), to investigate the effects of wetland restoration on microbial community, as well as the decomposition of litter. During the experiment, the decomposition rates (k-values) of both types of litter were lower in restored wetlands than natural wetlands. Fungal diversity varied significantly between restored and natural wetlands. In the short term (R3), the community structures of bacteria and fungi in restored wetlands resembled those of natural wetlands. However, significant differences persisted in long-term restored wetlands (R17). Partial Least Squares Path Modeling (PLS-PM) revealed that bacterial network cohesion (network average density, network transitivity) and wetland restoration time are the primary drivers of Reed and Sedge litter decomposition. Overall, wetland restoration enhances litter decomposition by altering the physicochemical properties of water and the characteristics of the microbial interaction network, suggesting that wetland restoration can accelerate the material cycling processes within wetland ecosystems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Urban streams play a crucial role in water network connectivity, drainage and urban landscaping, and receive abundant allochthonous dissolved organic matter (DOM), which is derived from nature and human activities. However, the influence of diverse land use types on the spatiotemporal distribution and characteristics of DOM in typical urban streams is still not fully understood. Therefore, the water sample collection and data analysis campaign were carried out in Wuhan in summer and winter. By using parallel factor analysis (PARAFAC) model, two humic-like substances and one protein-like component were eventually identified, and the specific DOM charcteristics of urban streams in industrial area illustrated the impact of allochthonous DOM caused by anthropogenic activities on their properties. The characteristics of DOM presents spatiotemporal distribution differences, and the fluorescence intensity of DOM in summer was significantly higher than that in winter, mainly due to the variation of allochthonous input from precipitation and runoff. Significant differences of the DOM concentration and composition in urban streams under different vegetation coverage were found, indicating that extreme human disturbance and high vegetation coverage can both greatly change DOM characteristics in urban streams. Redundancy analysis (RDA) revealed an indirect driving effect of land use on DOM, and the influence was considerably stronger in summer. The partial least squares structural equation modelling (PLS-SEM) analysis showed that land use can directly affect DOM content of urban streams (-0.147), with anthropogenic land use playing a positive role and natural land use the reverse, and indirectly change DOM concentration by influencing DOM origin (0.128), nutrients (0.022) and heavy metals (0.021). Moreover, human social and economic structure in anthropogenic land use can affect DOM components and sources of urban streams. This study revealed the driving mechanism of land use impact on DOM characteristics and improve our understanding of DOM geochemical cycling in urban streams., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

This study aims to balance the dual objectives of improving environmental quality and achieving carbon peaking and carbon neutrality goals. Utilizing panel data from 274 Chinese cities between 2006 and 2020, this paper employs the difference-in-differences method to examine the impact of the Air Pollution Prevention and Control Action Plan (APPCAP) on urban carbon emissions. Empirical results indicate that the impact of the APPCAP on regional carbon emissions follows an inverted U-shaped curve, exhibiting a dual impact path. Although the implementation of the APPCAP increased the annual carbon emissions of the city by an average of 1.637 million tons, it showed a trend of inhibiting the growth of carbon emissions, although it was not significant. Specifically, the APPCAP is most effective in reducing carbon emissions during the "source prevention" stage, primarily by increasing industrial electricity consumption and reducing coal production and consumption. However, a rebound effect occurs at the policy period's end, with compensatory increases in crude oil and electricity consumption, thereby elevating regional carbon emission levels. The APPCAP's effect on carbon emissions is more pronounced in areas with lower population density and higher environmental regulation intensity. It notably raises carbon emission levels in non-industrial base and non-resource-based cities compared to other cities. Furthermore, the APPCAP positively impacts regional carbon emission intensity and economic growth, significantly driving the secondary industry while minimally affecting the primary industry., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. There are no financial arrangements or affiliations, nor any other potential conflicts of interest, including patent or stock ownership, consultancy, expert testimony, grants or other funding received, or honoraria, that could be perceived as affecting the objectivity of the research presented herein., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Poyang lake (PYL), as China's largest freshwater lake, has been suffering from increasing total phosphorus (TP) pollution associated with rapid basinal socio-economic development. However, anthropogenic phosphorus stressors were rarely examined in PYL basin due to its large-scale and complex river-lake connection water system, hampering phosphorus pollution control efforts. In this study, water pollution stress from multiple anthropogenic activities is quantitatively examined in PYL basin based on a newly developed framework coupling grey water footprint (GWF) analysis with the SPARROW model. Results show that the phosphorus source-sink process in PYL basin has been well simulated by SPARROW model quantifying an overall TP delivery rate of 0.39, with catchments closer to PYL showing higher delivery rate of phosphorus (up to over 0.8). The GWF analysis demonstrates that anthropogenic phosphorus sources have imposed much higher pollution stress on PYL than its inflowing rivers, with twelve catchments nearby PYL identified as critical source areas of TP contamination. Agricultural farming, livestock & poultry production, and urban household are recognized as the dominant anthropogenic stressors burdening water environment of PYL. Based on these, policy recommendations are provided for advancing control of the phosphorus pollution stressors. The methodology is effective in refined examination of water pollution sources, which is expected to be applied in other watersheds providing informative diagnosis of water issues especially in lakes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The equitable evolution of neighborhood environments is closely linked to housing economics. However, the lack of quantitative and longitudinal evaluation methods makes it challenging to assess residents' neighborhood perceptions and achieve social inclusiveness goals. Using long-time series street view imagery, we quantified Shenzhen residents' multidimensional neighborhood perceptions before and after micro-renovations, including visual and soundscape dimensions, and revealed the association between perceptual evolution and the housing value. We identified inequitable results during neighborhood renewal: Neighborhoods with high soundscape scores are accompanied by low visual perception scores, and vice versa. The spatial inequality is reflected in the perceptual differentiation prevalent between urban and suburbs. Visual aspects showed a stable but weak relationship with housing value fluctuations, while soundscape aspects had a strong but more dynamic impact. The inequitable spatial evolution is facilitated by changes in residents' perceptions: expectations for positive audio-visual perceptions are increasing, but sensitivity for negative soundscape is decreasing. Meanwhile, residents are increasingly seeking diverse and rich visual neighborhood landscapes and atmospheres filled with human voices. This study provides quantitative support for the equitable evolution of neighborhoods and the economics of neighborhood landscapes. It offers a novel method for measuring multidimensional perceptions that can be applied to settlements worldwide., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The Chinese government implemented air pollution control policies in its Five-Year Plans (FYPs), setting specific emission reduction targets for different regions. This study employed the generalized difference-in-differences (GDD) method to assess the impacts of air pollution control policies on pollutants and carbon emissions from 2003 to 2020. This study had three main findings. (1) Air pollution control policies promoted the reduction of total SO 2 and carbon emissions, indicating that these policies had synergic impacts on pollutants and carbon emissions. (2) The reduction in emissions due to air pollution control policies primarily originated from industrial emissions, particularly in reducing industrial SO 2 emissions from process of production. (3) The emission reduction targets of different pollutants showed varying effects; SO 2 reduction targets significantly lowered overall SO 2 emissions, whereas NO x reduction targets effectively reduced industrial NO x and carbon emissions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In the pursuit of multifaceted objectives encompassing energy, environment, and climate considerations, a prevalent phenomenon across various nations is the simultaneous implementation of diverse policies. These policies may exhibit synergies that mutually reinforce each other, while also entailing the risk of policy failure. This study constructs an environmental dynamic stochastic general equilibrium (E-DSGE) model to evaluate and optimize the policy mix in China, incorporating the environmental tax (APT), carbon emission trading scheme (CET), and renewable portfolio standard (RPS). Regarding policy evaluation, we observe that (1) the effective range of both CET and RPS decreases with the increasing intensity of other policies; for instance, with RPS at 18% and APT at 3 CNY/kg, the CO 2 emission cap must be below 93.56%; (2) all three policies exhibit automatic stabilizer functions, and policy failure weakens their stabilizing effects, resulting in a reduction in welfare. Concerning policy optimization, we observe that (1) from a static perspective, the optimal tax rate is 32.68 CNY/kg, the optimal CO 2 emission cap is 66.62%, and the optimal renewable energy proportion is 62.4%; (2) from a dynamic perspective, the optimal tax rate, quantity of CO 2 quota (or CO 2 emission cap), and renewable energy proportion all exhibits pro-cyclical patterns., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

As a green finance policy, the establishment of pilot zones for green finance reform and innovation (PZGFRI) is of crucial importance to green innovation. This study employs panel data at the city level from 2011 to 2019 to explore the impact of the PZGFRI policy on green innovation in cities by constructing the Difference-in-Differences model. The results indicate that the PZGFRI policy significantly improves overall green innovation in cities. We test the mechanisms at the city level and find that the PZGFRI policy achieves green innovation improvement by improving capital support and research and development input, and this effect could be weakened when pollution intensity in cities is high. There is heterogeneity in different regions, cities of different economic development levels, and environmental regulation strength in the green innovation improving effects. These results suggest that the government should continue to promote the development of green finance and increase regulatory efforts to realize the enhancement of green innovation. This study can not only provide the Chinese government with more focused suggestions on green finance development of macro-policies but also give important references for other developing countries on green finance development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

This paper uses firm-level panel data to study the quasi-experiment of China's low carbon city (LCC) pilots and to estimate the dynamic impact of environmental regulations on firms' trade-offs between green innovation and digital innovation. The results indicate that environmental regulations lead to an increase in firms' green innovation in the short run and promote firms' digital transformation in the long run. Moreover, the key factors influencing firms' trade-offs are their size and the pollution levels of their primary businesses, highlighting the importance of both capability and immediacy for firms when making decisions. Furthermore, the event study shows that environmental regulations initially impact firms' profits in heavily polluting industries in the short run. However, environmental regulations can gradually enhance those profits in the long run by reducing marginal costs and upgrading industrial structures in treated regions. This paper provides insights for a deeper understanding of firms' heterogeneous choices and dynamic effects of innovation behaviors., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:We thank Ziyi Xie of Auckland University for his beneficial perspectives for understanding the impact of environmental regulations. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

As a key export-oriented economy, China faces significant challenges to its green economic development due to industrial pollution. While digital trade is crucial for sustainable development, its impact on industrial pollution has not been studied. This paper addresses this gap by adopting prefecture-level data from 2005 to 2021 and using a staggered difference-in-differences model to assess the impact of comprehensive pilot zones policy of cross-border e-commerce (CBEC) on industrial sulfur dioxide pollution. The findings indicate that CBEC significantly reduces industrial sulfur dioxide emission intensity, with the effect growing stronger over time. The effect is particularly notable in eastern and western regions, large cities, cities with underdeveloped digital infrastructure, and cities with lower pollution. Mechanism analysis reveals that CBEC lowers industrial emission intensity by driving structure upgrading, fostering green innovation, and advancing digital transformation. This paper emphasizes that the government can expedite the green transformation of the economy by integrating digital trade with industry., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

This study makes a significant contribution to China's ambitious goals of achieving carbon dioxide (CO 2 ) neutrality and transitioning to green economic growth (GEG), and integrating the theoretical framework of the impact, population, affluence, and technology (IPAT) theory, with real-world application to reduce CO 2 and promote GEG for sustainable development. Furthermore, the study examines the ongoing theoretical debate on whether an inverted U-shaped environmental Kuznets curve (EKC) exists between technological innovations (TI) in environment-related fields and CO 2 emissions in China, using data from 1990 to 2020 and employing the threshold instrumental variable two-stage least-squares (Th-IV2SLS) model. The findings indicate that all the variables representing education contribute to reducing CO 2 emissions. The cost-effective levels of these variables to achieve CO 2 reduction are as follows: a 93% literacy rate index, 12% education expenditure as a percentage of GDP, and an average of 6 years of schooling. Furthermore, TI also contributes to CO 2 reduction, with a cost-effective level of 10.16% of TI. Educational variables promote GEG, with their respective cost-effective levels being 84% of the literacy rate index, 11.9% of education expenditure as a percentage of GDP, and an average of 5.5 years of schooling. In addition, TI promotes GEG, with a cost-effectiveness level of 10.4%. Moreover, there is a synergistic effect between education and TI that reduces CO 2 emissions; however, the synergy that promotes GEG is relatively weak. Based on these findings, policy recommendations are provided to enhance the effectiveness of education and TI in reducing CO 2 emissions and promoting GEG., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)