Asian Journal of Shipping and Logistics最新文献

According the Resource Based View (RBV) theory and the sustainable development goals (SDG) framework, this study investigates the structural relationships between sustainable development goals, supply chain collaboration, and sustained competitive advantage. Data were collected from a survey of 359 firms in Thailand's coffee and tea supply chains and analyzed using structural equation modeling. The findings show that partnership is the most influential aspect of the SDG, whereas resource sharing is the most influential aspect of supply chain collaboration. Findings also show that supply chain collaboration has more influence than capability to enhance sustained competitive advantage. This research sheds light on the linkage between sustainable development goals and supply chain collaboration and capability, which affects the firm's sustained competitive advantage.

The objective of this study is to examine the effects of trust and communication on flexibility and customer relationships between port logistics firms and shippers. In order to achieve this objective, the study collected questionnaires from 238 port logistics firms and conducted analyses. The results are as follows: First, the trust of port logistics firms has a positive effect on both flexibility and customer relationships. When there is a high level of mutual trust between port logistics firms and shippers, the firms can provide flexible services and work towards a common goal by sharing information and resources based on a strong understanding. Second, port logistics firms that engage in frequent communicate with shippers are more likely to provide flexible services. By exchanging information with shippers, port logistics firms can establish service processes that align with the specific needs of the shippers, ultimately leading to the provision of superior services. Third, the flexibility of port logistics firms enhances customer relationships with shippers. By offering flexible services, port logistics firms can build strong relationships with shippers and work together towards common goals. Fourth, trust and communication of port logistics firms further reinforce the relationship between flexibility and customer relationships. When there are trust and effective communication between the firms and shippers, the positive effect of flexibility on customer relationships is amplified.

This study investigates the impact of green logistics on Vietnam's regional trade within the frameworks of the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), Regional Comprehensive Economic Partnership (RCEP), Association of Southeast Asian Nations (ASEAN), and Asia-Pacific Economic Cooperation (APEC) from 2007 to 2020. Employing a newly formulated Green Logistics Performance Index (GLPI) derived through Principal Component Analysis (PCA), the research assesses how sustainable logistics practices influence trade performance. An extended gravity model is utilized to analyze the impact of green logistics across different regional trade agreements. The findings suggest that improved green logistics correlate positively with enhanced trade outcomes, highlighting the dual benefits of sustainability efforts in the environmental and economic realms. The study contributes to the limited empirical research on the intersection of green logistics and trade in Vietnam, offering a methodological approach for future analyses in this field. It provides valuable insights for businesses and policymakers aiming to align economic growth with sustainability objectives.

In the Sakha Republic, aviation serves as the sole mode of year-round transportation, which is crucial for overcoming logistical challenges in remote areas of the region. This study utilizes DEA-SBM analysis to assess the efficiency of 21 airports in addressing issues within the Sakha Republic’s airport infrastructure. The study revealed that six airports achieved the highest efficiency score: Batagay Airport, Chulman Airport, Deputatsky Airport, Ust-Kuyga Airport, Ust-Nera Airport, and Yakutsk Airport. The findings highlight the potential of DEA-SBM analysis for airport operators and managers to evaluate input and output levels for enhanced operational efficiency.

This study examines the effect of macroeconomic shocks on the shipping market using time-series data by comparing the periods of the COVID-19 and traditional crises. A structural vector autoregressive model and forecast scenario were applied for the analysis. The results can be summarized as follows. First, the response of freight rates to macroeconomic shocks in the shipping market was consistent with the theoretical predictions. Second, the freight rates were the most affected by VIX shock during the global financial crisis, by fleet development shock during the period of overbuilt shipping capacity, and by the oil price during the periods of instability in the oil market. In particular, we found that businesses recovered more quickly from the shock during the COVID-19 compared to other periods, implying that the uncertainty had a greater influence than real economic factors during the pandemic. Finally, forecast scenario analysis showed that freight rates fell sharply immediately after the global financial crisis and during COVID-19 but the pace of recovery was faster during the COVID-19 than the global financial crisis. This study is significant as it empirically shows that the main factors affecting the shipping market and its transition process differ according to the characteristics of episodes.

Container Terminal Port of Boombaru is a Port that serves goods in container’s shape for shipping, and it is located in Palembang, South Sumatra Province. The results of the projections show that the growth rate of Berth occupancy at the Boombaru Port container terminal is very significant, which is 43.33% in year 2018–2019 and by 2030 it is predicted to be maximum. The port progress factor is determined by the support of hinterland connection, route infrastructure conditions as the main corridor. In overcoming goods distribution problems, which often hampers the port operational performance process due to the long waiting time for ships at the port to wait for heavy transportation vehicles in Boombaru port. The aim, of this study is to find the best selected road from various criteria, such as land use, accessibility, pavement structure, and road geometrics. The method that has been used in this study is Multi Criteria Analysis (MCA). The results show that highest weighted value for successive criteria, namely 3.795 for Geometric, 3.787 for Land Use, 3.521 for Pavement Structure, and 3.157 for Accessibility. Overall, the results show that the best selected route is route B, borderline with Lampung-OKU-Prabumulih- Indralaya-Palembang. The advantage of this route B is because it avoids urban congested area, and it has easy access to industrial area, distribution Centre, warehouses and Ports. Thus, it is less fuel consumption and less gas emission.

This study aimed to analyze the obstacles to lowering demurrage at a grain terminal. After conducting in-depth interviews with working-level staff in grain terminal, 12 factors were selected to derive key factors for reducing demurrage. The Consistent Fuzzy Preference Relations methodology, which can extract experts’ knowledge and experiences, was employed to rank the obstacles in lowering demurrage. The analysis showed that the number one factor was “inventory requirements of grain shippers” (with an importance of 0.097), followed by “capacity of storage facilities” and “port congestion” as the second and third factors, respectively. As for sub-factors, “climate (e.g., typhoon, rain, etc.)” and “ship size” were ranked 11th and 12th, respectively. The analysis indicates that experts recognized factors that can be changed by shippers and that are difficult to control as more important obstacles than cost-related factors. The findings of this study provide the working-staff of ports, grain terminals, and the government implications for reducing demurrage.

This study aims to develop an index for assessing Maritime Supply Chain Risks (MSCRs) capable of preemptively detecting potential crises in the container market and validating the predictive power with Korean container volumes. By employing Lexicon-based text analysis, we scrutinized 174,271 headlines from key maritime and port news from 2004 to 2023 to formulate MSCRs index. Further, the application of a VAR model elucidates the maritime container supply chain market's response to sentiment shocks. Our findings reveal that an integrative sentiment index (MSCRs), considering both maritime and port sectors, possesses higher predictive accuracy than when these sectors are examined individually. Although the shock response of the index is temporary, it exerts a more gradual impact on transshipment throughput.The results of this study underscore the substantial influence of sentiment shocks stemming from maritime transportation news. The constructed MSCRs index emerges as a significant predictive variable for the Korean maritime transportation market. This sentiment index is anticipated to assist government, port authorities, and shipping companies in policy and managerial decision-making, offering enhanced foresight and response mechanisms to navigate and mitigate potential crises.

Tiksi Port is a Russian seaport located on the Laptev Sea shore in the Central Arctic region and holds potential as a crucial and versatile hub for the improvement of the Eastern Arctic sector. It is one of the main ports on the Northern Sea Route and can potentially become the primary point for transporting various types of cargo. Currently, Tiksi Port is shallow and incapable of receiving large sea vessels and although it was initially equipped with handling equipment, signs of decline are visible. This study aims to identify the critical logistics elements of Tiksi Port and classify them according to their level of significance in vitalizing the logistics activities of the port for further practical use. Interpretive Structural Modelling and the Matrix of Cross Impacts Multiplication Applied to a Classification (MICMAC) method was used in this study. The study findings revealed ten factors that appeared at three levels of importance. According to the analysis results, “combating oil spills” was present at Level 3, which is the first and most fundamental level to be improved. Tiksi Port officials and government ministries can use these results as a reference for development and to support the establishment of a cost-effective and agile logistics system for related companies.

The BDI is a barometer of maritime trade, and the shipping trade network may graphically reflect trade pattern evolution. Because commerce influences freight prices, it is worthwhile to consider the influence of maritime network characteristics on freight rates. To begin, this article constructs maritime networks using AIS data and displays the dry bulk trade trend in the period following the pandemic. This will assist shipowners and laypeople in comprehending the evolution of dry bulk maritime commerce in the post-pandemic age. Second, the PVAR model is implemented in this work to investigate the connection between the trade in shipping mode and freight prices. The empirical study demonstrated that shipowners ought to devote more attention to port linkages, particularly significant ports in the maritime network in the years following the pandemic.