Suchergebnisse

Chapter1. Introduction -- Chapter2. Maritime Security – Call of the Seas -- Chapter3. Jurisdictional Issues of the Seas -- Chapter4. Coastal and Port Security -- Chapter5. Blue Economy and Smart Sea Transport Systems -- Chapter6. Towards a Sustainable Global Growth -- Chapter7. Maritime Clusters -- Chapter8. Public Private Partnerships and Port- Land Interface Projects -- Chapter9. The Pandemic, the Blue Economy and the Way Forward.

AbstractWith substantial increases in labor and operational costs in the Pearl River Delta (PRD), many firms in China have started to relocate their production plants to inland provinces. This change will not only affect the PRD ports, including Hong Kong and Shenzhen, but also ports in other regions, such as Shanghai in the Yangtze River Delta. However, systematic studies on regional transformation and port cluster competition have been found wanting. This paper undertakes an economic analysis on the implications of such a relocation process. Important features such as demand differentiation among ports and port clusters, hinterland access costs, intra‐ and inter‐port cluster competition are considered in the economic model, and this allows us to identify market equilibrium and the effects of possible market dynamics related to the relocation process. Our analysis suggests that relocation of production plants away from the PRD would pose negative effects on ports within the region, and may favor other ports with more convenient hinterland access. Improvements in hinterland access would likely to benefit the port of Hong Kong, but it would be a mixed blessing to Shenzhen due to inter‐port competition. A more competitive port of Hong Kong would certainly be in a better position to cooperate with port of Shenzhen.

AbstractIt is difficult to assess the risk of ship‐source oil spills in Arctic waters for insurance purposes due to many unknowns and the lack of reliable data. However, maritime activities in the Arctic area continue to grow, indicating the urgent needs for the development of innovative methods to estimate loss from potential ship‐source oil spills in the Arctic area. To fill this gap, we develop a hybrid Bayesian‐loss function‐based method to assess ship‐source oil spill‐related loss and implement an illustrative test on Baffin Island, Nunavut in Canada. The results confirm that our method can accurately assess loss and, subsequently, develop reliable insurance premiums for shipping activities in the Arctic area. This enables governmental and nongovernmental organizations alike to use the method as a reliable loss estimation mechanism for ship‐source oil spills. Also, it is a valuable tool in designing measures for safer and more resilient Arctic shipping.