Search Results (1,470)

This paper is aimed at landscape managers and designers. It looks at 123 real-world coastal landscape projects and organizes them into clear design categories, i.e., wetland restoration, hybrid infrastructure, or urban green spaces. We looked at how these projects were framed (whether they focused on climate adaptation, flood protection, or other goals) and how they tracked performance. We are hoping to bring some clarity to a very scattered field, helping us to see patterns in what is actually being carried out in terms of landscape interventions and increasing sea levels. We are hoping to provide a practical reference for making better, more climate-responsive design decisions. Coastal cities face escalating climate-driven threats from increasing sea levels and storm surges to urban heat islands. These threats are driving increased interest in nature-based solutions (NbSs) as green adaptive alternatives to traditional gray infrastructure. Despite an abundance of individual case studies, there have been few systematic syntheses aimed at landscape designers and managers linking design typologies, project framing, and performance outcomes. This study addresses this gap through a meta-synthesis of 123 implemented coastal landscape interventions aimed directly at landscape-oriented research and professions. Flood risk reduction was the dominant framing strategy (30.9%), followed by climate resilience (24.4%). Critical evidence gaps emerged—only 1.6% employed integrated monitoring approaches, 30.1% provided ambiguous performance documentation, and mean monitoring quality scored 0.89 out of 5.0. While 95.9% of the projects acknowledged SLR as a driver, only 4.1% explicitly integrated climate projections into design parameters. Community monitoring approaches demonstrated significantly higher ecosystem service integration, particularly cultural services (36.4% vs. 6.9%, $p<0.001$), and enhanced monitoring quality (mean score 1.64 vs. 0.76, $p<0.001$). Implementation barriers spanned technical constraints, institutional fragmentation, and data limitations, each affecting 20.3% of projects. Geographic analysis revealed evidence generation inequities, with systematic underrepresentation of high-risk regions (Africa: 4.1%; Latin America: 2.4%) versus concentration in well-resourced areas (North America: 27.6%; Europe: 17.1%). Full article

The rapid growth of e-commerce has created substantial environmental impacts, driving the need for advanced optimization models to enhance supply chain sustainability. As consumer preferences shift toward environmental responsibility, organizations must adopt robust quantitative methods to reduce ecological footprints while ensuring operational efficiency. This study develops a novel hybrid multi-criteria decision-making (MCDM) model to evaluate and prioritize green suppliers under uncertainty, integrating the rough-Dombi best–worst method (BWM) and an improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The proposed model addresses two key challenges: (1) inconsistency in expert judgments through rough set theory and Dombi aggregation operators and (2) ranking instability via an enhanced TOPSIS formulation that mitigates rank reversal. Mathematically, the rough-Dombi BWM leverages interval-valued rough numbers to model subjective expert preferences, while the Dombi operator ensures flexible and precise weight aggregation. The modified TOPSIS incorporates a dynamic distance metric to strengthen ranking robustness. A case study of five e-commerce suppliers validates the model’s effectiveness, with results identifying cost, green competitiveness, and external environmental management as the dominant evaluation dimensions. Key indicators—such as product price, pollution control, and green design—are rigorously prioritized using the proposed framework. Theoretical contributions include (1) a new rough-Dombi fusion for criteria weighting under uncertainty and (2) a stabilized TOPSIS variant with reduced sensitivity to data perturbations. Practically, the model provides e-commerce enterprises with a computationally efficient tool for sustainable supplier selection, enhancing resource allocation and green innovation. This study advances the intersection of uncertainty modeling, operational research, and sustainability analytics, offering scalable methodologies for mathematical decision-making in supply chain contexts. Full article

Sustainability has become a key focus in the hospitality industry, with travelers increasingly seeking accommodations with strong environmental commitments. As part of this trend, many hotels are adopting green marketing strategies to improve their brand image and appeal to eco-conscious consumers. However, the challenge lies in ensuring that these strategies are perceived as genuine rather than as “greenwashing,” which undermines their effectiveness and harms the brand’s credibility. This study examines the impact of green marketing strategies on the brand image of 5-star hotels in Lima, Peru. A survey of 206 hotel clients reveals that the implementation of green marketing positively influences the perceived benefits, corporate image, trust, and loyalty associated with these establishments. The results highlight that younger generations, particularly Millennials and Generation Z, are more likely to value sustainability initiatives, making them an important target for hotels seeking to enhance their brand image through eco-friendly practices. The findings suggest that effective communication of sustainable practices and transparency are essential to avoid greenwashing and build customer loyalty. This research contributes to the limited knowledge on green marketing in the Peruvian hotel sector and provides insights for both hotel managers and researchers on the importance of integrating genuine sustainability efforts into their marketing strategies. Full article

With increasing wastewater treatment demands and decarbonization goals, synergistic reduction in pollutants and green house gas (GHG) emissions is crucial. High process emissions like N₂O pose significant challenges, yet optimized carbon reduction strategies for conventional plants are lacking. This study developed three mathematical models to quantify the impact of dissolved oxygen (DO), influent salinity, and C/N ratio on direct emissions (CH₄, N₂O) and indirect emissions. Response Surface Methodology (RSM) optimized these factors to minimize GHG emissions under three accounting scenarios: (1) plants with CH₄ reuse systems: salinity = 0.5 g L⁻¹, DO = 3.67 mg L⁻¹, C/N = 12.75; (2) plants focusing solely on direct emissions: salinity = 0.5 g L⁻¹, DO = 3.35 mg L⁻¹, C/N = 3; and (3) plants assessing total emissions: salinity = 0.5 g L⁻¹, DO = 2.5 mg L⁻¹, C/N = 7.18. Key findings indicated that increasing salinity exacerbated greenhouse gas emissions. Elevated DO levels in the aerobic stage reduced N₂O emissions but increased indirect emissions in the A²/O process. Higher C/N ratios promoted anaerobic CH₄ production, but sufficient carbon reduced N₂O by enabling complete heterotrophic denitrification. A 60−day continuous GHG emissions monitoring campaign was conducted at a WWTP to validate the actual emission reductions achievable under the identified optimal control conditions. An analysis and comparison of operational and economic costs were also performed. The findings provide practical insights into sustainable GHG emission management and offer potential solutions to advance the synergistic reduction in GHG emissions and pollutants. Full article

Climate change and rapid urbanization are underscoring the need for urban green spaces that offer a wide range of ecosystem services, which can provide irreplaceable benefits to residents. Cultural services are the ones that affect visitation patterns the most and may be the easiest to influence via investment or neglect. The main aim of this research was to evaluate and cluster the urban green spaces of a Hungarian city, Szeged, based on their potential cultural ecosystem service values, to uncover their investment and management differences. Regarding the methodology, we performed three field observations on each of the selected 19 sample areas, assessing their potential cultural ecosystem services and visitation patterns. The green spaces were evaluated on a total of 36 criteria, which we analysed using principal component analysis, factor analysis, and cluster analysis. As a result of our research, we defined four main urban green space clusters: city centre squares, suburban playgrounds, central parks, and informal green spaces. The differences in their potential cultural ecosystem service values significantly affect their usage patterns and are indicators of investment inequities. Understanding and tackling the uncovered environmental injustices requires a complex assessment of the local urban fabric along with its usage and management practices. Full article

This study addresses the need for efficient and non-destructive monitoring of the nutrient status of hardy kiwi (Actinidia arguta), a plantation crop native to East Asia. Traditional nutrient monitoring methods are labor-intensive and often destructive, limiting their practicality in precision agriculture. To overcome these challenges, we deployed a rotary-wing unmanned aerial vehicle (UAV) equipped with a multispectral camera to capture monthly images of 10 hardy kiwi orchards in South Korea from June to October 2019. We extracted spectral bands (i.e., red, red-edge, green, and near-infrared) to generate normalized difference vegetation index and canopy chlorophyll content index maps, which were correlated with in situ chlorophyll measurements using a chlorophyll meter. Strong positive correlations were observed between vegetation indexes and actual chlorophyll content, with canopy chlorophyll content index achieving the highest predictive accuracy (average correlation coefficient > 0.84). Regression models based on multispectral data enabled reliable estimation of leaf chlorophyll across months and regions, with an average RMSE of 3.1. Our results confirmed that UAV-based multispectral imaging is an effective, scalable approach for real-time monitoring of nutrient status, supporting timely, site-specific fertilizer management. This method has the potential to enhance fertilizer efficiency, reduce environmental impact, and improve the quality of hardy kiwi cultivations. Full article

This study examines the impact of environmental, social, and governance (ESG) practices on green innovation and financial performance among 174 publicly listed firms across ASEAN countries over the period from 2019 to 2023. Utilizing an unbalanced panel dataset of firms from key ASEAN economies, the analysis employs panel regression techniques. Green innovation performance is measured through innovation disclosures related to environmental technologies, while financial success is assessed via return on assets (ROA) and Tobin’s Q. The findings reveal that environmental and governance disclosure scores positively influence green innovation, whereas social scores exert a more immediate impact on financial performance. Moreover, green innovation is found to partially mediate the relationship between overall ESG practices and long-term market valuation. These results highlight the strategic role of ESG transparency in enhancing innovation-driven competitiveness, responsible business conduct, and sustainable employment across Southeast Asian markets. Implications are discussed for corporate managers, policymakers, and socially responsible investors. The study reinforces the case for ESG-aligned strategy as a pathway to both innovation, inclusive economic growth, and long-term competitiveness in ASEAN markets. Full article

The supply chain is a critical tool for enterprises to withstand risks and ensure sustainable development. Integrating green and environmentally friendly practices into the supply chain has become an increasingly prominent trend. This study examines the impact of green supply chain management (GSCM) on supply chain resilience, using the green supply chain pilot projects implemented in China as a quasi-natural experiment, employing a multi-period difference-in-difference (DID) model. Based on panel data from manufacturing enterprises listed on the A-share market in China from 2014 to 2022, the findings reveal three key insights. First, GSCM significantly improves the resilience of enterprise supply chains. Second, GSCM has both signaling and cost effects, as it can reduce corporate financing costs and enhance market value, lower market transaction costs, and improve productivity. These are potential channels through which GSCM exerts a positive influence. Third, the positive impact of GSCM on supply chain resilience is more pronounced in enterprises with third-party environmental certifications and higher institutional shareholder ratios. Additionally, this study also extends to demonstrate that GSCM directly and positively influences corporate environmental performance. These findings provide policy recommendations for enhancing green supply chain development and offer managerial insights to help enterprises proactively embrace green transformation. Full article

Hymenopellis raphanipes is a high-value edible fungus with a short shelf life and high perishability, which poses significant challenges for quality control and safety assurance throughout its supply chain. Ensuring effective traceability is essential for improving production management, strengthening consumer trust, and supporting brand development. This study proposes a comprehensive traceability system tailored to the full lifecycle of Hymenopellis raphanipes, addressing the operational needs of producers and regulators alike. Through detailed analysis of the entire supply chain, from raw material intake, cultivation, and processing to logistics and sales, the system defines standardized traceability granularity and a unique hierarchical coding scheme. A multi-layered system architecture is designed, comprising a data acquisition layer, network transmission layer, storage management layer, service orchestration layer, business logic layer, and user interaction layer, ensuring modularity, scalability, and maintainability. To address performance bottlenecks in traditional systems, a multi-chain collaborative traceability model is introduced, integrating a mainchain–sidechain storage mechanism with an on-chain/off-chain hybrid management strategy. This approach effectively mitigates storage overhead and enhances response efficiency. Furthermore, data integrity is verified through hash-based validation, supporting high-throughput queries and reliable traceability. Experimental results from its real-world deployment demonstrate that the proposed system significantly outperforms traditional single-chain models in terms of query latency and throughput. The solution enhances data transparency and regulatory efficiency, promotes sustainable practices in green agricultural production, and offers a scalable reference model for the traceability of other high-value agricultural products. Full article

Against the backdrop of global sustainable development and environmental governance, research on contractors’ green behavior has received increasing attention. However, the research progress and knowledge structure within this field remain unclear. This study, therefore, reviews the literature published between 1985 and 2005 in the Web of Science Core Collection and Scopus databases. It aims to reveal the current state of research, identify gaps, and propose future research directions. First, through bibliometric analysis, this study explores research trends, journal distribution, country distribution, author distribution, institutional distribution, and collaboration patterns. Second, social network analysis of keyword co-occurrence is conducted to identify emerging research hotspots and frontier topics. Third, content analysis complements the quantitative findings by synthesizing theoretical foundations, methodological approaches, and influencing factors. Finally, potential future research directions are outlined regarding collaboration models, thematic integration, theoretical frameworks, research methods, factors, research boundaries, contextual applications, and behavioral outcome variables. By systematically reviewing the literature on contractors’ green behavior, this study offers valuable insights for future research as well as management practices. Full article

Geospatial sensing and data-driven technologies (GSDDTs) are playing an increasingly important role in transforming (agro)forestry practices across the Western Balkans 6 region (WB6). This review critically examines the current state of GSDDT application in six WB countries (also known as the WB6 group)—Albania, Bosnia and Herzegovina, Kosovo*, Montenegro, North Macedonia, and Serbia—with a focus on their contributions to sustainable (agro)forest management. The analysis explores the use of unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR), geographic information systems (GIS), and satellite imagery in (agro)forest monitoring, biodiversity assessment, landscape restoration, and the promotion of circular economy models. Drawing on 25 identified case studies across WB6—for example, ALFIS, Forest Beyond Borders, ForestConnect, Kuklica Geosite Survey, CREDIT Vibes, and Project O₂ (including drone-assisted reforestation in Kosovo*)—this review highlights both technological advancements and systemic limitations. Key barriers to effective GSDDT deployment across WB6 in the (agro)forestry sector and its cross-border cooperation initiatives include fragmented legal frameworks, limited technical expertise, weak institutional coordination, and reliance on short-term donor funding. In addition to mapping current practices, this paper offers a comparative overview of UAV regulations across the WB6 region and identifies six major challenges influencing the adoption and scaling of GSDDTs. To address these, it proposes targeted policy interventions, such as establishing national LiDAR inventories, harmonizing UAV legislation, developing national GSDDT strategies, and creating dedicated GSDDT units within forestry agencies. This review also underscores how GSDDTs contribute to compliance with seven European Union (EU) acquis chapters, how they support eight Sustainable Development Goals (SDGs) and their sixteen targets, and how they advance several EU Green Agenda objectives. Strengthening institutional capacities, promoting legal alignment, and enabling cross-border data interoperability are essential for integrating GSDDTs into national (agro)forest policies and research agendas. This review underscores GSDDTs’ untapped potential in forest genetic monitoring and landscape restoration, advocating for their institutional integration as catalysts for evidence-based policy and ecological resilience in WB6 (agro)forestry systems. Full article

While escalating environment and food safety challenges underscore the need for sustainable agri-food systems, promoting green agri-food production provides a promising pathway. The green agri-food value chain integrates green agri-food production with coordinated value-adding activities across the value chain. In developing such value chains, agricultural cooperatives emerge as a key player. This research integrates sustainability and value chain theories, aiming to study the role of China’s cooperatives in enabling green production and green value chains. It used qualitative methodology and interviews with management and members of three green vegetable cooperatives in Shandong Province, China, to offer an initial examination into this research area. The findings reveal that cooperatives play an important role in the green vegetable value chain and have a different level of vertical integration, with some having control over the whole value chain from input supply to retail. They also provide essential input, technical, and market support to enable green vegetable production and facilitate various value-adding activities. The study offers valuable insights into recommendations for enhancing value addition and facilitating green value chains. It also holds practical implications for practitioners and policymakers to strengthen cooperative development in China as an important intermediary for advancing agriculture sustainability. Full article

Once confined to mourning and burial, urban cemeteries are now being reimagined as multifunctional public spaces integrated into everyday urban life. Responding to this evolving role, this study investigates how metropolitan cemeteries in Tokyo are used, perceived, and socially negotiated. Although institutional initiatives have promoted the integration of cemeteries into green infrastructure, empirical research on user behavior, perception, and willingness remains limited—particularly in East Asian contexts. To address this gap, the study combines unstructured user-generated data (Google Maps reviews and images) with structured questionnaire responses to examine behavioral patterns, emotional responses, perceived landscape elements, and behavioral intentions across both urban and suburban cemeteries. Findings reveal that non-commemorative uses—ranging from nature appreciation and cultural engagement to recreational walking—are common in urban cemeteries and are closely associated with positive sentiment and seasonal perception. Factor analysis identifies two dimensions of behavioral intention—active and passive engagement—and reveals group-level differences: commemorative visitors show greater inclination toward active engagement, whereas multi-purpose visitors tend toward passive forms. Urban cemeteries are more frequently associated with non-commemorative behaviors and higher willingness to engage than suburban sites. These results underscore the role of cultural norms, prior experience, and spatial typology in shaping cemetery use, and offer practical insights for managing cemeteries as inclusive and culturally meaningful components of the urban landscape. Full article

Prior studies have generally confirmed that Environmental, Social, and Governance (ESG) practices have a positive impact on perceived value and sustainability performance. However, empirical research examining the mediating role of employee-perceived value in the relationship between ESG and sustainability performance from the perspective of internal stakeholders remains limited. To address this gap, this study aims to understand the relationship among ESG, employee-perceived value, and sustainable management in green hotels in southern Taiwan. Using a convenience sampling method, 277 valid questionnaires were collected and analyzed through Structural Equation Modeling (SEM). The results show that ESG practices have significant positive effects on both employee-perceived value and sustainability performance, with perceived value partially mediating the relationship between the two, highlighting the critical role employees play in promoting sustainable management. Based on the empirical findings, it is recommended that companies strengthen internal ESG communication and education to ensure that employees understand ESG goals and outcomes and integrate them into daily work. Employee-centered participation programs, such as green innovation contests and community carbon reduction activities, should be designed to enhance emotional value and organizational identification. Companies should internalize ESG principles into corporate culture and management processes, reinforcing sustainable behaviors through performance appraisals, leadership modeling, and continuous dialogue. Finally, ESG should be positioned as a core strategy aligned with long-term corporate objectives, enhancing employee commitment and creating competitive advantages that attract support from customers and stakeholders. Full article

Determining the amount of biowaste generated, separated, and recycled at source in households (BHrecycled) is crucial for assessing its potential inclusion in the total mass of waste prepared for reuse and recycling on the country level. Although the EU has introduced standardized rules for BHrecycled measurement, it is still a major challenge. This study, the first to be conducted on a large scale in Poland and the EU countries, aimed to determine the actual mass of BHrecycled (kitchen waste (B_K) per capita per year (kg/(capita·year)) and garden waste (B_G) per square meter of green area (kg/(m²·year)) in 1150 households that use an active composting unit located in more than 400 municipalities in all the voivodeships in Poland. Each municipality is characterized by individual MSW generation (MSW_G) values (the amount of waste generated per capita per year). The MSW_G values of the municipality where the household was located were used to group the data of B_K and B_G. In Poland, the average masses of B_K and B_G remained within the ranges of 81.02–107.49 kg/(capita·year) and 1.02–2.87 kg/(m²·year), respectively, across the MSW_G value. However, there was no clear statistical relationship between the MSW_G value and B_K or B_G. The average masses of B_K and B_G were ca. 97 kg/(capita·year) and ca. 2 kg/(m²·year). These results enable the determination of the total amount of BHrecycled in Poland. By incorporating these findings into waste management, strategies, monitoring, and reporting practices can be improved. Moreover, it promotes compliance with the EU recycling targets. Full article