Search Results (235)

This study presents the first fine-scale Coastal Vulnerability Index (CVI) assessment for Togo, evaluating coastal vulnerability and risk along the country’s 50 km barrier coastline in the context of accelerating erosion, rising sea level, and growing human exposure. Using remote sensing, GIS, and a CVI framework, shoreline trend rates, beach width, land use, and the role of existing coastal defences were analysed to support risk-informed decision-making. The coastline was segmented into 99 coastal units of 500 m, and shoreline trend rates were computed using the End Point Rate (EPR) method based on multi-temporal satellite-derived shorelines spanning from 1988 to 2024. Results show strong spatial contrasts in vulnerability, with the eastern sector of the Port of Lomé, particularly a 24.5 km stretch, exhibiting high vulnerability due to persistent shoreline retreat and narrow beach widths. In contrast, the western coastline displays lower vulnerability levels. Several erosion hotspots were identified, including Baguida and Dévinkemé, where recent shoreline retreat reaches up to −12.8 m/year. Existing coastal defences locally mitigate erosion impacts, reducing the extent of highly vulnerable shoreline from 23.5 km to 15 km. The integrated risk assessment identifies 6.5 km of coastline, primarily in the eastern port area, as being at high risk due to the combined effects of erosion and dense human settlement. These results provide spatially explicit information to support integrated coastal zone management, land-use planning, and adaptation strategies in Togo. Full article

The International Maritime Organization (IMO) established an initial strategy for maritime decarbonization and later specified its long-term target of achieving net-zero strategy by 2050. The institutional framework for mid-term measures was introduced by IMO, and mid-term measures were originally scheduled to be adopted at the end of 2025, but will be re-discussed in 2026 due to opposition from some current member states; South Korea relies on maritime transport for over 99% of its total import/export volume, meaning that the national shipping sector constitutes a core infrastructure supporting trade-driven economic activity. However, mid-term measures are expected to increase logistics costs and weaken route competitiveness and contract markets, affecting individual shipping companies and the entire export–import industrial base. However, quantitative analyses of the cross-industry ripple effects remain limited. Existing studies assess regulatory burdens on shipping but rarely estimate economy-wide spillovers or provide empirical guidance for policy strategies. Therefore, research is needed to move beyond regulatory interpretation, assess domestic response capabilities, and quantitatively analyze the macroeconomic impacts of mid-term measures to support sound policy decision-making. This study aims to quantitatively evaluate the nationwide economic impact of the IMO mid-term measures and propose strategic policy solutions for effective domestic responses. Full article

With the implementation of China’s strategy to build a maritime power, new-quality marine productive forces have emerged as an important driver of high-quality development in the marine economy. Based on panel data from 11 coastal provinces in China covering the period 2013–2022, this study constructs a comprehensive evaluation index system for both new-quality marine productive forces and the high-quality development of the marine economy. It employs the entropy method to calculate a composite development index and uses panel models, mediation effect models, and threshold regression models to examine the mechanism through which new-quality marine productive forces influence the high-quality development of the marine economy. The study finds the following: (1) New-quality marine productive forces are positively associated with the high-quality development of the marine economy. (2) They are also positively associated with marine science and technology innovation, which in turn is associated with the high-quality development of the marine economy, suggesting a partial mediating role. (3) The level of economic development plays a nonlinear moderating role: the positive association is not significant at lower levels of economic development, strengthens at moderate levels, and weakens at higher levels. Full article

This study develops an integrated vessel-level framework for assessing logistics performance and operational energy efficiency in container shipping. The novelty of the study lies in the development of a unified analytical approach that explicitly integrates logistics indicators with fuel consumption and emissions within a consistent system boundary, including auxiliary engine operation during both sea passages and port stays. The framework is applied to four medium-sized container vessels (6000–7500 TEU; 20-foot equivalent unit) under normalised operating conditions. The results show that higher capacity utilisation and economies of scale significantly improve both cost and energy performance, while emissions intensity varies by more than twofold across vessels. A deterministic sensitivity analysis is applied to evaluate the influence of key operational parameters. The analysis identifies service speed as the dominant driver, followed by vessel loading rate, while port-related parameters—such as auxiliary engine load and port productivity—have a lower yet still measurable influence, reducing emissions by up to 5% under improved conditions. The main contribution of the study is the development of a practical vessel-level benchmarking tool that captures logistics–energy interactions and supports operational decision-making under current regulatory frameworks, including EU ETS, FuelEU Maritime, and the IMO Carbon Intensity Indicator (CII). Full article

Ports play a pivotal role in global trade but are also associated with significant environmental and social challenges. Despite growing research on green ports, existing studies remain fragmented, with limited integration between technological, environmental, and governance perspectives within the blue economy framework. This review examines the transition from green port initiatives toward integrated blue-economy-oriented port systems by synthesizing recent advances in sustainable maritime infrastructure, smart port technologies, renewable energy integration, and policy frameworks. The analysis reveals three major findings. First, ports are increasingly evolving into energy-integrated hubs, with leading examples adopting shore power systems, renewable energy microgrids, and hydrogen-based infrastructure, thereby contributing to emissions reductions. Second, digitalization through artificial intelligence, IoT, and data-driven logistics significantly enhances operational efficiency, reduces energy consumption, and improves real-time decision-making. Third, effective governance frameworks that combine regulatory measures and incentive-based instruments are critical to accelerating sustainability transitions while ensuring economic competitiveness. In addition, the review highlights the growing integration of biodiversity conservation, marine pollution mitigation, and community engagement into port management strategies, reflecting a shift toward ecosystem-based approaches. Overall, the findings demonstrate that ports are transitioning from conventional logistics hubs into integrated socio-technical systems that enable low-carbon maritime transport while supporting inclusive and resilient coastal development. Full article

Background: Understanding how logistics structure affects fiscal performance and exposure to disruption is critical in import-dependent economies. This study examines the concentration of Ecuador’s import logistics system using customs revenue as an operational–fiscal proxy. Methods: The analysis uses 2023–2024 customs revenue data to evaluate modal and territorial concentration through the Herfindahl–Hirschman Index (HHI). Scenario-based stress tests are applied to assess sensitivity to redistribution and disruption shocks. Results: Results reveal a high dependence on maritime transport and a dominant customs district, with the Guayaquil–Maritime node accounting for most revenue. HHI values confirm strong concentration patterns. Scenario analysis shows that even moderate disruptions in dominant nodes generate disproportionate fiscal impacts, while limited modal diversification slightly reduces vulnerability. Conclusions: The findings indicate that logistics concentration constitutes a structural source of fiscal exposure. The study contributes by framing customs revenue as an integrated proxy linking logistics structure and vulnerability. However, results should be interpreted cautiously due to the short-term dataset, static analysis, and absence of behavioral responses. Full article

Achieving sustainable maritime transport requires comprehensive understanding of port-related emissions and evidence-based mitigation strategies. Maritime shipping significantly contributes to air pollution in port cities, threatening environmental sustainability and public health, yet comprehensive emission inventories remain scarce for major ports in developing economies. This study presents the first bottom-up emission inventory for Ambarlı Port, Turkey’s largest container port, utilizing AIS data from Global Fishing Watch for calendar year 2025. Emissions of CO₂, NO_x, SO₂, PM₁₀, PM_2.5, CO, and NMVOC were quantified using EMEP/EEA activity-based methodology with IMO Tier II emission factors and vessel type-specific load factors (75% for passenger, 45% for cargo) from ENTEC guidelines. Non-commercial vessels (tugs, service craft, fishing vessels) and lay-up vessels exceeding six months continuous berthing were excluded to focus on active commercial shipping operations, resulting in a validated dataset of 10,267 port visits from commercial cargo, passenger, and bunker vessels. Annual emissions from active commercial vessels totaled 404,766 tonnes CO₂, 8487 tonnes NO_x, 6724 tonnes SO₂, 914 tonnes PM₁₀, and 849 tonnes PM_2.5. Passenger vessels dominated the inventory (93.3% of CO₂) due to high auxiliary power demands for hotel services and elevated load factors, while cargo vessels contributed 6.5% despite representing 61.4% of port visits. Turkish-flagged vessels accounted for the majority of domestic ferry traffic. These findings provide baseline data for air quality management in the Istanbul metropolitan area and support policy development regarding shore power implementation, with particular emphasis on reducing emissions from passenger vessels with extended berth times. From a policy perspective, prioritized shore power investment at passenger ferry terminals emerges as the most cost-effective emission reduction strategy, with potential to eliminate over 90% of port-related air pollutant emissions through public-private partnership models. Full article

This integrative literature review synthesises five strands of recent scholarships on port city regions (PCRs): (1) their multidimensional transitions, (2) skills foresight and future competences, (3) challenges and reforms in vocational education and training (VET) systems, (4) social inclusion and equity in skills development, and (5) innovative VET methodologies in port-adjacent sectors. Drawing on the interdisciplinary academic and policy-oriented literature, this article adopts a qualitative, integrative review approach to examine how the twin green and digital transition is reshaping port city regions and their associated skills ecosystems. The review demonstrates that PCR transitions are not only technical but socio-institutional: while Onshore Power Supplies (OPSs), alternative fuels, and digital platforms are transforming operational landscapes, the success of these innovations depends critically on the adaptive capacity of workers, training systems, and governance arrangements. The article further examines emerging pedagogical approaches in port-adjacent VET, including work-based learning, micro-credentials, and immersive training methods. Taken together, the evidence converges on a central claim: the resilience and sustainability of port city regions depend on integrated skills systems that combine foresight, inclusivity, and pedagogical innovation. Without such systems, decarbonisation and digitalisation risk exacerbating social and spatial inequalities rather than fostering sustainable growth. The article concludes by outlining implications for research, policy, and practice, calling for integrative performance metrics, longitudinal evaluation, and quadruple helix collaboration to support inclusive, competitive, and sustainable port transitions. Full article

For nations heavily dependent on fossil-fuel exports, hydrogen is emerging as a promising solution to reduce carbon emissions while preserving economic stability and promoting countries’ energy independence. This research study examines hydrogen potential as a renewable energy source to facilitate the transition toward a sustainable economy with a special focus on Middle East and North Africa (MENA) countries. The analysis delves into policy frameworks, technological advancements, and infrastructure adaptations to build a reliable green hydrogen supply chain for a scalable and bankable future. The role played by other renewable energies like solar and wind, together with the risk related to the high demand for water resources to achieve the green hydrogen transition, has also been assessed. Furthermore, key challenges have been highlighted, including the repurposing of the existing pipelines into the energy networks, public–private partnerships to secure investment, and legislation requirements to encourage the adoption of novel hydrogen applications. In order to do that, a SWOT-PESTEL analysis has been carried out to identify the main decarbonization strategies for achieving a replicable framework. Moreover, a multi-criteria decision analysis was performed, applying 11 indicators across supply-side (e.g., solar/wind potential, LCOE, and water stress), demand-pull/logistics (e.g., maritime connectivity, steel production, and LNG export capacity), and risk/regulation dimensions (e.g., governance effectiveness, regulatory quality, and fossil rent dependence). The Analytic Hierarchy Process (AHP) was used for weighting, the entropy method for weighting variability (hybrid 50/50 combined weights), min–max normalization for costs, 5% Winsorization for outliers, and TOPSIS for aggregation following OECD-JRC composite indicator guidelines. Results have been validated through a multiple scenario analysis (base, supply-led, and risk-aware) and sensitivity testing via Dirichlet bootstrapping (5000 iterations) with ±20% weight perturbations. Six countries of the MENA region have been studied. The multi-criteria decision analysis outcomes rank Egypt (composite score 0.518), Algeria (0.482), and Oman (0.479) as the most suitable countries for large-scale green hydrogen and ammonia production/export, while Saudi Arabia, Qatar, and Kuwait achieved lower supply scores in the base case due to higher perceived risks. Full article

This study proposes an advanced coordinated control strategy for a hybrid medium-voltage DC (MVDC) shipboard power system that integrates solid oxide fuel cells (SOFCs) and variable-speed diesel generators (VSDGs). The study aims to achieve superior fuel consumption reduction and enhanced power quality in marine environments. An SOFC dynamic model is developed to accurately capture electrochemical behavior and to evaluate efficiency under varying load factors. For the VSDG, a fuel consumption model incorporating variable rotational speed is derived, enabling the selection of an optimal operating speed that minimizes specific fuel consumption while maintaining system stability. The proposed strategy employs fuel-optimal integrated control to dispatch and regulate power sharing between SOFCs and VSDGs dynamically under varying load conditions using an upper-level controller. Simulation studies demonstrate that the proposed method ensures SOFC operation within high-efficiency utilization regions, adjusts VSDG speed to maximize fuel economy, and achieves stable load sharing through cooperative control. The results demonstrate significant fuel savings, with reductions of 75.3% under low-load conditions and 26.3% under high-load conditions compared with the non-coordinated baseline, contributing to the advancement of sustainable and reliable maritime electrification. Full article

Marine data assets are increasingly recognized as important drivers of value creation in the blue economy, yet their valuation remains challenging due to difficulties in isolating data-related earnings in capital-intensive maritime enterprises. This study proposes a methodological valuation framework that integrates the multi-period excess earnings method with the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation (FCE) approach, incorporating both financial and non-financial dimensions. The framework follows a “total synergistic return–data contribution separation” logic to isolate data-related excess earnings and applies an AHP–FCE-based adjustment coefficient to account for data quality, application value, and risk. A representative container shipping enterprise is used as an illustrative application to demonstrate the implementation logic of the framework. The results indicate that marine data assets can constitute a non-negligible component of enterprise value under reasonable parameter settings, while sensitivity analysis highlights the influence of key parameters such as the data contribution coefficient and discount rate. The proposed framework provides a transparent methodological reference for marine data asset valuation and supports sustainability-oriented research and practice in the blue economy. Full article

Compared to traditional marine productivity, marine new-quality productivity (MNQP) is composed of advanced productive forces driven by the deepening application of new technologies, is characterized by the rapid emergence of new industries, new business models, and new modes of operation, and is marked by a substantial increase in total factor productivity in the marine economy. It has, therefore, become a new engine and pathway for China’s development into a maritime power. The main research approaches and conclusions of this paper are as follows: ① Using a combined order relation analysis method–Entropy Weight Method (G1-EWM) weighting method that integrates subjective and objective factors, we measured the development level of China’s MNQP from 2006 to 2021 across two dimensions: “factor structure” and “quality and efficiency”. The findings indicate that China’s MNQP is developing robustly and still holds considerable potential for improvement. ② Utilizing Gaussian Kernel Density Estimation and Spatial Markov Chain analysis to examine the dynamic evolution of China’s MNQP, the study identifies breaking the low-end lock-in of MNQP as crucial for accelerating balanced development. Spatial imbalances in China’s MNQP may exist both at the national level and within the three major marine economic zones. ③ To further examine potential spatial imbalances, Dagum Gini decomposition was employed to assess regional disparities in China’s MNQP. The DER polarization index and EGR polarization index were used to analyze spatial polarization levels, revealing an intensifying spatial imbalance in China’s MNQP. ④ Finally, geographic detectors were employed to identify the factors influencing spatial imbalances in China’s MNQP. Results indicate that these imbalances result from the combined effects of multiple factors, with marine economic development emerging as the core determinant exerting a dominant influence. The core conclusions of this study provide theoretical support and practical evidence for advancing the enhancement of China’s MNQP, thereby contributing to the realization of the goal of building a maritime power. Full article

In the context of the era where the maritime power strategy converges with the wave of the digital economy, the digital economy provides a critical transformational opportunity for marine fisheries to break through the traditional extensive model and achieve high-quality development. Based on panel data from 41 coastal cities in China from 2003 to 2022, this study empirically examines the enabling effect of the digital economy on marine fisheries from the perspective of total factor productivity. The findings are as follows: First, the development of the digital economy promotes the improvement of total factor productivity in marine fisheries, but this is primarily achieved through “innovation-driven” expansion of the production frontier, while its potential in “efficiency catch-up” has not yet been fully realized. Second, the enabling effect exhibits distinct spatial heterogeneity, with its positive impact concentrated in cities in the South China Sea region, where industrial foundations and policy environments are more aligned. Third, the influence of the digital economy demonstrates nonlinear threshold characteristics; when technology promotion and industrial collaboration surpass specific thresholds, the enabling effect significantly strengthens, but as innovation capability improves, its marginal contribution shows a diminishing trend. Accordingly, it is recommended to deepen the application of digital technologies in core processes, transitioning from “isolated applications” to “systematic integration.” Simultaneously, tailored regional development strategies should be formulated to align with the resource endowments and development stages of each maritime region. On this basis, efforts should be made to improve technology promotion and industrial support systems, construct a collaborative and efficient digital fishery ecosystem, and facilitate the sustainable transition of marine fisheries from factor-driven to innovation-driven growth. Full article

With the rapid growth of the marine economy and the increasing demand for maritime security, ship target detection has become critically important in both military and civilian applications. However, in complex remote sensing scenarios, challenges such as visual similarity among ships, subtle inter-class differences, and the continual emergence of new categories make traditional closed-world detection methods inadequate. To address these issues, this paper proposes an open-world detection framework for remote sensing ships. The framework integrates two key modules: (1) a Fine-Grained Feature and Extreme Value-based Unknown Recognition (FEUR) module, which leverages tail distribution modeling and adaptive thresholding to achieve precise detection and effective differentiation of unknown ship targets; and (2) a Joint Optimization-based Incremental Learning (JOIL) module, which employs hierarchical elastic weight constraints to differentially update the backbone and detection head, thereby alleviating catastrophic forgetting while incorporating new categories with only a few labeled samples. Extensive experiments on the FGSRCS dataset demonstrate that the proposed method not only maintains high accuracy on known categories but also significantly outperforms mainstream open-world detection approaches in unknown recognition and incremental learning. This work provides both theoretical value and practical potential for continuous ship detection and recognition in complex open environments. Full article