Search Results (103)

Cross-border e-commerce, as a vital form of digital trade, is emerging as a new engine for corporate internationalization. This study employs China’s cross-border e-commerce pilot zones (established since 2015) as a quasi-natural experiment to investigate their causal effects on Chinese cities’ outward foreign direct investment (OFDI) and the underlying mechanisms. Distinct from previous trade-focused studies, this paper innovatively adopts a greenfield investment perspective. By integrating the Global Greenfield Investment Database (2010–2022) with the China City Statistical Yearbook, we constructed a greenfield OFDI dataset spanning the city–destination–target industry dimensions. Based on this dataset, this study employs a time-varying DID approach combined with PSM-DID, parallel trend tests, and placebo tests to empirically analyze how cross-border e-commerce development influences OFDI and its underlying mechanisms. The findings reveal that establishing cross-border e-commerce pilot zones boosts local outward investment by approximately 18.8%. A binary marginal decomposition analysis indicates that this effect primarily manifests through the extensive margin—significantly driving investment into new destination markets. Additionally, the mechanism operates by reducing information search costs and enhancing factor allocation efficiency. Furthermore, the outward investment promotion effect of cross-border e-commerce pilot zones is more pronounced in samples where the destination is a developed country, the target industry is high-tech, and the origin is eastern China. This study not only expands the dimensions for assessing the economic effects of cross-border e-commerce but also provides concrete empirical evidence for governments to optimize digital trade policy arrangements and for enterprises to leverage digital tools to overcome the “Liability of Foreignness” and achieve internationalization. Full article

Background: Venous thromboembolism (VTE) is associated with high morbidity and mortality. The activation of multiple pathways of venous thrombosis occurs after an injury. A prophylaxis protocol is necessary to prevent early and late venous thrombotic complications. Methods: This study aimed to evaluate the outcomes of venous thromboembolism using the Greenfield risk assessment profile score and its association with bleeding complications. This was a retrospective cohort study conducted on trauma cases who were aged 15 years or older. The study was conducted from January 2020 through December 2022. Patients who were admitted to hospital for less than 24 h or those who died during resuscitation or treatment in an emergency room were excluded from this study. Results: We enrolled 580 cases. Among them, 46.6% were categorized as high-risk for developing venous thromboembolism, and 30.4% of these high-risk patients received pharmaco-mechanical thromboprophylaxis. All VTE cases were high risk according to the Greenfield risk assessment profile, accounting for 3% of the entire group and 1.4% of all enrolled cases. All major bleeding complications occurred with a previously diagnosed large subdural hematoma. Conclusions: Assessing VTE risk was crucial for optimal management of prophylaxis. Proper use of pharmacological prophylaxis had to be balanced against the risk of bleeding complications. Full article

Cross-border greenfield investment in the financial services sector is increasingly understood not as isolated flows, but as a complex, dynamic global system. This systemic perspective is essential for understanding its holistic structure and evolution amidst globalisation and digital transformation. This paper utilises financial services greenfield investment projects from 100 major economies from 2003 to 2021 to construct the Global Financial Services Greenfield FDI Network (GFS-GFN). By combining Social Network Analysis (SNA) and Temporal Exponential Random Graph Models (TERGMs), we systematically investigate its dynamic evolutionary features and endogenous mechanisms. The findings reveal the following: (1) System-wide, the network exhibits persistent expansion, “small-world” properties, and a pronounced “rich club” effect among source countries. (2) Nodally, the structure has evolved from a US-UK “dual-core” to a multipolar configuration, as emerging hubs like China, the UAE, and Singapore rapidly approach the traditional centres. (3) Structurally, the network has fragmented from Euro-American dominance into five major communities, forming a diverse, complementary pattern. Network evolution is primarily driven by endogenous mechanisms. Investment relationships widely exhibit reciprocity, preferential attachment, transitive closure, and marked path dependence. Full article

This study is an attempt to compile and complete structural features of the Kalba-Narym Zone in East Kazakhstan belonging to the western Central Asian Orogenic Belt, which is known to be well-endowed with the occurrence of pegmatite rare-metal mineralization. Remote sensing and GIS-based 2D are utilized to map the geological structural lineaments of faults and granitic pegmatite and pegmatite dikes. This includes lineament extraction on regional and district scales. Then, the spatial relationship between pegmatite dikes and faults is analyzed, including the lineament trends and proximity patterns. The spatial analyses are performed via the geo-computational method of Distance to Nearest Neighbors (DNN), Ripley’s L′ function, and pegmatite orientation families were employed to study the spatial distribution pattern of the pegmatites. The results of this study demonstrate that the occurrence of pegmatite dikes in various Greenfields and Brownfields of the Kalba-Narym Zone follows clustered distributions, the orientation of pegmatite swarms is dominantly NW-SE, and pegmatite emplacement is proximal to the intersection of multiple faulting systems. Extracted fault strikes, demonstrating a pronounced NW–SE to NNW–SSE structural fabric across the zone, show orientation association with the pegmatite dikes. Extraction and demarcation of pegmatites on a regional scale via remote sensing techniques help efficiently narrow down the target areas before conducting geological campaigns. This investigation proposes several new districts of pegmatite occurrence in the Kalba-Narym Zone as potential targets for exploration of critical metals. Full article

This study examines how green finance drives sustainable economic development in Saudi Arabia, focusing on the Hail region, with comparisons across seven major cities (Riyadh, Jeddah, Mecca, Medina, Dammam, Tabuk, and Taif). Through an XGBoost machine learning approach enhanced by SHAP interpretation, we analyze how Green Finance Investment (IGF), Alternative and Nuclear Energy (ANE), Electricity Access (ATE), and Logarithmic Carbon Emissions (LCDE) influence New Business Registrations (NBR), Employment rates (EM), and Circular Economy outcomes measured via Combustible Renewables and Waste (CRW). Results reveal that ANE is the dominant predictor of employment across all cities, with SHAP values ranging from 76.9% in Hail to 96.6% in Jeddah. Entrepreneurial drivers vary regionally: ANE leads in Riyadh (63.1%) and Jeddah (73.3%), LCDE dominates in Hail (45.0%) and Taif (48.6%), and IGF is primarily evident in Tabuk (39.5%). Model accuracy varies, with RMSE being the highest in Hail (58.97) and lowest in Jeddah (433.86), highlighting structural differences across urban economies. Circular economy pathways diverge between LCDE-driven industrial modernization (e.g., Dammam, 62.9%) and IGF-driven greenfield development (e.g., Tabuk, 81.1%). These findings support a threefold city classification and provide actionable insights into Saudi Arabia’s Vision 2030 implementation. They inform targeted policy interventions, including green infrastructure investments in energy hubs, industrial modernization programs in manufacturing centers, and entrepreneurial financing mechanisms in emerging regions. Full article

Machine learning (ML) algorithms have promoted the development of predictive modeling of mineral prospectivity, enabling data-driven decision-making processes by integrating multi-source geological information, leading to efficient and accurate prediction of mineral exploration targets. However, it is challenging to conduct ML-based mineral prospectivity mapping (MPM) in under-explored areas where scarce data are available. In this study, the Narigongma district of the Qiangtang block in the Himalayan–Tibetan orogen was chosen as a case study. Five typical alterations related to porphyry mineralization in the study area, namely pyritization, sericitization, silicification, chloritization and propylitization, were extracted by remote sensing interpretation to enrich the data source for MPM. The extracted alteration evidences, combined with geological, geophysical and geochemical multi-source information, were employed to train the ML models. Four machine learning models, including artificial neural network (ANN), random forest (RF), support vector machine and logistic regression, were employed to map the Cu-polymetallic prospectivity in the study area. The predictive performances of the models were evaluated through confusion matrix-based indices and success-rate curves. The results show that the classification accuracy of the four models all exceed 85%, among which the ANN model achieves the highest accuracy of 96.43% and a leading Kappa value of 92.86%. In terms of predictive efficiency, the RF model outperforms the other models, which captures 75% of the mineralization sites within only 3.5% of the predicted area. A total of eight exploration targets were delineated upon a comprehensive assessment of all ML models, and these targets were further ranked based on the verification of high-resolution geochemical anomalies and evaluation of the transportation condition. The interpretability analyses emphasize the key roles of spatial proxies of porphyry intrusions and geochemical exploration in model prediction as well as significant influences everted by pyritization and chloritization, which accords well with the established knowledge about porphyry mineral systems in the study area. The findings of this study provide a robust ML-based framework for the exploration targeting in greenfield areas with good outcrops but low exploration extent, where fusion of a remote sensing technique and multi-source geo-information serve as an effective exploration strategy. Full article

Environmental problems associated with emergency emissions, indoor air pollution with harmful particles, and the spread of viruses and bacteria make the topic of cleaning indoor air from small particles of pollution relevant. In the event of a dangerous situation associated with the presence of small particles in the air, especially those smaller than 10 μm, methods for quickly cleaning the air from such pollutants are required. One of these new methods is the efficient spraying of fine aerosol using the ultrasound technique. Fine aerosol with a droplet size of about 30–50 μm interacts more effectively with pollutant particles compared to larger aerosols. In this paper, the process of interaction of droplets with a characteristic size of 30–50 μm with airborne pollutant particles sized 0.1–10 μm is theoretically studied. Particular attention is paid to particles sized 0.1–2 μm, which are the most difficult to remove from the air. The work will serve as a theoretical basis for the development of methods for cleaning indoor air of pollutant particles using fine aerosol. Full article

Whether on greenfield or brownfield sites, new buildings need land. The locations of additional dwellings in England, whether provided through a standard planning process or a light-touch approach, have recently been criticised for not impacting affordability and for being in the wrong places. More sustainable means of raising the stock of abodes in England, including repurposing dilapidated or underused property, land, or infrastructure; reducing the demolition rate; and reducing the time an existing dwelling is left idle, do not consume additional land for building. Although the National Planning Policy Framework for additional dwellings places a duty on each district planning authority to find more land for housing, alternatives to new builds are included in the count. This paper examines the spatial concentrations of the components that can add to the habitable stock of real estate. It examines their take-up over recent years. This is important for land-use planning and the preservation of green spaces in the face of increasing housing pressures. Using a simple, innovative approach to assessing collocation, the paper considers whether there are similarities in spatial concentrations. The approach is used to infer whether builders converting existing property add units in areas where new builds are in more modest supply. Although alternative means of adding to the housing stock may be more sustainable, and more likely to be found in areas of greater need, the numbers are too low to be anything other than a supplement to new builds. Full article

The behavior response of an existing shield tunnel to under-cross tunneling is fundamentally governed by the tunnel–soil interaction. In this study, the existing tunnel is simplified as a single-variable Timoshenko beam to address the shear locking issue of the conventional Timoshenko beam. An elastic continuum solution, which can be degenerated into the Winkler–Timoshenko model, is established by considering the tunnel–soil interaction to evaluate the existing tunnel’s response to underlying tunneling. Meanwhile, greenfield settlement is described using a modified Gaussian function to fit practical engineering cases. The joint opening and segmental dislocation are also quantified. The applicability of the proposed method is validated by two reported engineering cases, where measured greenfield settlements are used to verify the modified Peck formula. Key parameters, including the ground loss rate, intersection angle, tunnel–soil stiffness factor, and vertical clearance, are discussed. The results show that the proposed method can provide references for predicting the potential diseases of existing tunnels affected by new tunnel excavation. Full article

The revitalization of post-industrial areas has emerged as a critical strategy for sustainable urban development, achieving a balance between economic, social, and environmental priorities. This study assesses the transformative capacity of revitalization strategies by conducting a comprehensive case analysis of “Radex Park Marywilska” in Warsaw, Poland. The analysis quantifies the benefits of revitalization in comparison to demolition and new construction methodologies. An examination of the revitalization initiative demonstrates that it yielded a total of PLN 41.15 million in benefits, with PLN 28.13 million attributed to direct cost savings and another PLN 13.02 million resulting from environmental improvements. In practical terms, this equates to a return of PLN 1.93 for every PLN 1 invested—a notably efficient outcome. The project transformed four industrial buildings, significantly increasing usable space in some (e.g., Building L1 by 345% and K1 by 21.6%) while slightly reducing it in others (B1 by 4.7% and I1 by 10.5%). From an environmental impact perspective, the success was staggering: 48,217 tons of carbon dioxide emissions were prevented, and 72,315 tons of building waste were diverted from landfills. To these figures, the study further adds a return in economic activity, the generation of new jobs, and improvement in local infrastructure. The retrofitting of historical buildings to contemporary standards has encountered numerous challenges; nonetheless, the implementation of circular economy principles has succeeded in negating such challenges. Generally, the results show economic, environmental, and social benefits of revitalization projects compared to new, greenfield projects. The case study provides valuable lessons to policymakers and urban planners, rendering adaptive reuse a fundamental approach in achieving sustainable urban development. Full article

Population growth and land use change often have significant environmental impacts, affecting biodiversity, water supply, agricultural production, and other resources. Future scenario models can provide a better understanding of these changes, helping planners and the public understand the consequences of choices regarding development density, land use, and conservation. This study presents a model that has been used to identify alternative future scenarios for Florida considering future population growth and land use. It includes two scenarios: a “Sprawl” scenario reflecting a continuation of current development patterns and a “Conservation” scenario with higher densities, redevelopment, and more land protection. The study incorporates sea level rise scenarios for both 2040 and 2070. Results show that the Sprawl scenario could lead to 3.5 million acres of new developed land and 1.8 million acres of lost agricultural land by 2070 in Florida. In contrast, the Conservation scenario for 2070 results in 1.3 million fewer acres of developed land and 5 million more acres of protected natural land, showing that it is possible to accommodate future population growth while reducing impacts to agricultural and conservation priorities in Florida. Although this is by no means a “prediction” of future Florida, it has been useful as a tool for evaluating potential future land use scenarios and is a model that may be more broadly applied by other locations and users. Full article

Corporate environmental claims often neglect the substantial ecological impact of land-use changes. This case study examines the spatial dimension of retail-driven land-use transformation by analyzing supermarket expansion in the Veneto region (northern Italy), with a focus on a large grocery retailer. We evaluated its corporate environmental claims by assessing land consumption patterns from 1983 to 2024 using Geographic Information Systems (GIS). The GIS-based methodology involved geocoding 113 Points of Sale (POS—individual retail outlets), performing photo-interpretation of historical aerial imagery, and classifying land-cover types prior to construction. We applied spatial metrics such as total converted surface area, land-cover class frequency across eight categories (e.g., agricultural, herbaceous, arboreal), and the average linear distance between afforestation sites and POS developed on previously rural land. Our findings reveal that 65.97% of the total land converted for Points of Sale development occurred in rural areas, primarily agricultural and herbaceous lands. These landscapes play a critical role in supporting urban biodiversity and providing essential ecosystem services, which are increasingly threatened by unchecked land conversion. While the corporate sustainability reports and marketing strategies emphasize afforestation efforts under their “We Love Nature” initiative, our spatial analysis uncovers no evidence of actual land-use conversion. Additionally, reforestation activities are located an average of 40.75 km from converted sites, undermining their role as effective compensatory measures. These findings raise concerns about selective disclosure and greenwashing, driving the need for more comprehensive and transparent corporate sustainability reporting. The study argues for stronger policy frameworks to incentivize urban regeneration over greenfield development and calls for the integration of land-use data into corporate sustainability disclosures. By combining geospatial methods with content analysis, the research offers new insights into the intersection of land use, business practices, and environmental sustainability in climate-vulnerable regions. Full article

Blue hydrogen is a key pathway for reducing greenhouse gas emissions while utilizing natural gas with carbon capture and storage (CCS). This study conducts a techno-economic and environmental analysis of a greenfield blue hydrogen plant in Saskatchewan, Canada, integrating both SMR and ATR technologies. Unlike previous studies that focus mainly on production units, this research includes all process and utility systems such as H₂ and CO₂ compression, air separation, refrigeration, co-generation, and gas dehydration. Aspen HYSYS simulations revealed ATR’s energy demand is 10% lower than that of SMR. The hydrogen production cost was USD 3.28/kg for ATR and USD 3.33/kg for SMR, while a separate study estimated a USD 2.2/kg cost for design without utilities, highlighting the impact of indirect costs. Environmental analysis showed ATR’s lower Global Warming Potential (GWP) compared to SMR, reducing its carbon footprint. The results signified the role of utility integration, site conditions, and process selection in optimizing energy efficiency, costs, and sustainability. Full article

Spodumene-bearing pegmatites are geochemically anomalous among crystalline rocks and important critical mineral resources in the green energy transition. However, prospecting is challenging due to their small size and the fact that they are often covered by soil and vegetation. This study demonstrates that, rather than being a hindrance, soil cover can enhance geochemical exploration, at least at the prospect scale. This study examines the dispersion pathways of lithium (Li) and its pathfinder elements (Rb, B, Ga, and Sn) from pegmatites (<10 m thick) into metamorphic host rocks and further into overlying undisturbed soils in heavily forested, postglaciated terrain of northeastern Wisconsin, USA. Soil-sample traverses over the world-renowned, lepidolite-type Animikie Red Ace pegmatite and two nearby dikes reveal pronounced <20 m anomalies with up to 1400 ppm of Li, 450 ppm of Rb, 3100 ppm of B, 40 ppm of Ga, and 60 ppm of Sn, greatly exceeding the control soil concentrations from nonmineralized granite and pegmatites. Soils mirror both the magmatic fractionation and alteration of pegmatite bedrock and metasomatic halos in parent host rocks. Metasomatized amphibolite revealed the presence of a holmquistite-ferro-holmquistite mineral. This greenfield pilot exploration led to lithium-rich pegmatite discoveries within the district and demonstrates the applicability of proximal sensors for soil exploration in Wisconsin and beyond. Full article

Background: The Petroleum Products Distribution Company in Anbar Governorate is responsible for securing and distributing petroleum products to various sectors, including transportation, agriculture, industry, and households, through over 100 gas stations. The company has faced significant challenges due to the destruction of its infrastructure caused by past conflicts. These challenges have necessitated strategic decisions to design an efficient distribution network. Methods: This study aimed to assist the company in selecting the optimal location for a distribution center by evaluating four potential locations. Three of the proposed locations were suggested by the company: Ramadi, Habbaniyah, and Haqlaniyah. The fourth location, referred to as the GFA DC location, was determined through a greenfield analysis (GFA) experiment using AnyLogistix software (version 3.2.1. PLE) ALX. The simulation experiment in ALX was conducted using product data, fuel station locations, order quantities, distribution center data, and transportation and emissions data. Results: The simulation results, taking into account both practical and regulatory constraints, indicated that the Ramadi location was the most suitable for establishing the new distribution center. Conclusions: Based on the analysis, the study concluded that the Ramadi location was the optimal site for building the petroleum products distribution center in Anbar Governorate, offering a solution that aligns with the company’s goals of improving distribution efficiency and overcoming existing logistical challenges. Full article