The Impact of Container Type Diversification on Regional British Port Development Strategies

Abstract

Despite a concentration of container traffic in the southeast of the UK over the last few decades, regional ports are attempting new development strategies to capture or retain specific traffic segments. These include intra-European short-sea traffic and a potentially increasing feeder market. These trends are reflected in the movement of different container types, which result in a number of planning challenges related to changing infrastructural and operational requirements. This paper uses highly disaggregated data on container type movements to address three issues that can inform these planning challenges. First, the imbalance of trade resulting in empty container repositioning; second, the requirement for gauge-cleared rail routes to cater for the increasing proportion of high-cube containers; and third, the specialisation of European short-sea traffic at secondary UK ports. The results reveal the disproportionate repositioning of empty containers at Scottish ports and the importance of 45?ft, high-cube and pallet-wide containers at regional ports, highlighting their focus on intra-European short-sea traffic and raising difficulties relating to their lower quality of landside infrastructure (particularly rail) in comparison to the large south-eastern ports. The potential repercussions on hinterland infrastructure development raise questions about both public and private sector responses to regional port development.     

Characteristics of European inland ports: A statistical analysis of inland waterway port development in Dutch municipalities

Most scientific attention in port studies centers on deep-sea ports, in particular container ports. In our paper, in contrast, we focus our attention on the characteristics of inland waterway ports in a European context. This is an overlooked part in the scientific literature on inland port development, which is up to now mainly concerned with US-based understandings of inland ports. We try to broaden the application of the inland port concept by explaining the development of inland ports in terms of inland waterway bounded cargo throughput. Based on a large-scale quantitative dataset of inland port development in Dutch municipalities we perform various statistical analyses to arrive at a more detailed understanding of the question: What are the characteristics of European inland waterway ports and what transport and economic factors influence cargo throughput on the municipal level? The results in particular highlight the importance of the presence of a container terminal, the diversity in types of goods which are being handled by the inland port and the accessibility of the inland port relative to the regional motorway network as important factors in explaining the size and growth of inland ports. Interestingly, the popular claim in policy of ‘investments in inland port development leading to employment growth’ cannot be confirmed.     

An Application of the Hierarchical Fuzzy Process to Container Port Competition: Policy and Strategic Implications

This paper aims to empirically identify the competitiveness of container ports in Asia by examining factors influencing the perceived competitive edge of each port using the Hierarchical Fuzzy Process, a method embracing human knowledge and/or judgement into a mathematical framework. This analysis is unique in that the ‘human-perceived’ competitiveness on Asian container ports is examined under the quantifiable framework. The findings reveal that Singapore is the most competitive port among the sampled ports. Moreover, the methodology employed here shows the potential to be applicable to other transport and logistics related service industries.     

Container Terminal Development in Mainland China and Its Impact on the Competitiveness of the Port of Hong Kong

In recent years, China's container ports have experienced a significant expansion in throughput and capacity. This paper provides a review of the sector and analyses the recent development of container ports and terminals within Mainland China. It then focuses in more depth on the competition between the ports of Shenzhen and Hong Kong. In particular, the port of Shenzhen is analysed in the context of Robinson's criteria for hub port development to try to discern whether it will become the dominant regional hub. The discussion concludes that despite Shenzhen's current competitive advantages, Hong Kong will, in all probability, retain its dominant role.     

A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures

This paper applies a `port function matrix' to analyse the administrative and ownership structures of major container ports in Asia. The relative efficiency of these ports is then assessed using the cross-sectional and panel data versions of the `stochastic frontier model'. The estimated efficiency measures are broadly similar for the two versions of the model tested. From the results of the analysis, it is concluded that the size of a port or terminal is closely correlated with its efficiency and that some support exists for the claim that the transformation of ownership from public to private sector improves economic efficiency. While this provides some justification for the many programmes in Asian ports which aim to attract private capital into both existing and new facilities, it is also concluded that the level of market deregulation is an important intervening variable which may also exert a positive influence.     

Traffic consolidation in East Asian container ports: A network flow analysis

The proliferation of hub-and-spoke operations in maritime container transportation has resulted in the widespread consolidation of traffic flows. Utilising liner shipping network configurations, this paper assesses the impact of freight traffic consolidation in the container port industry by exploring the spatial pattern of traffic flow movements and identifying the variety of roles that container ports play within this context. On the basis of the network concept, the spatial inequality of freight traffic consolidation is determined by the density and direction of all meaningful connections (i.e. significant flows) identified by applying Multiple Linkage Analysis (MLA) to an initial traffic flow matrix.The effectiveness of the chosen methodology is tested empirically using a sample comprising the 18 major container ports in East Asia, together with another 21 important container ports located on the East–West trading route. Based on this sample network, the spatial structure of traffic flow consolidation reveals the nature and structure of hub-and-spoke operations within a port system, the relative hub-dependence of ports, the variety of roles which individual ports play within the overall structure of inter-port interactions and the hierarchical configuration of the port industry structure. The paper concludes that MLA offers new insights into the distributional inequality of traffic flows, the spatial and economic interactions between ports and the extent to which hinterlands overlap. Furthermore, the analysis clearly shows that inter-port relationships can no longer be evaluated as isolated phenomena; any change in a specific port’s competitiveness will directly impact upon the structure of the whole maritime transportation system. Port authorities and terminal operators will need, therefore, to carefully analyse and disentangle specific inter-port relationships in order to provide the most appropriate basis for their decision making.     

Assessment of hub status among Asian ports from a network perspective

This paper proposes a novel network-based hub port assessment (NHPA) model through explicit formulations of connectivity and cooperation indices. Such a model is useful for port operators and policy makers to evaluate the relative influences of various quality characteristics from which carriers base their port choices on and identify port partners. Key insights can be obtained for port authorities to improve their port infrastructures and operations to achieve a competitive and sustainable hub port status. Three comprehensive case studies are conducted to assess the current standings and potentials of major Asian ports within networks of major carriers.     

广西沿海铁路建设双层集装箱通道必要性研究

广西沿海铁路作为大西南的重要出海通道,是防城、钦州、北海等重要沿海港口主要的后方集疏运干线。文章提出了广西沿海铁路开行双层集装箱列车的意义,预测了广西沿海铁路集装箱的运量,从经济与通过能力方面分析了广西沿海铁路开行双层集装箱列车的必要性。     

Evaluating the competitiveness of container ports in Korea and China

Changes in world trade and the shipping environment have created ever-increasing competition between ports in North-east Asia, especially Korea and China. Following intensive state investment in port developments through large-scale projects, Chinese ports now threaten to oust Busan in Korea as the regional hub. To identify and evaluate the competitiveness of major ports in the region, this paper identifies the components influencing their competitiveness and presents a structure for evaluating them. Based on the literature related to port selection and competition, a regional survey of shipping companies and owners employed factor analysis to reveal that port service, hinterland condition, availability, convenience, logistics cost, regional centre and connectivity are the determining factors in these regions.     

Competition dynamics between container ports in East Asia

This paper unveils the competitive dynamics between the major container ports in East Asia by analyzing their extent and intensity. Time series data, with the longest series dating back to 1970 ending 2001, on container throughput for the ports of Hong Kong, Kaohsiung, Keelung, Kobe, Nagoya, Osaka, Pusan, Taichung, Tokyo and Yokohama are computed. Cointegration tests are employed to determine the existence of long run relationship between various port pairs. Error correction models are constructed to determine short run inter-port dynamics. The results reveal that Hong Kong and Pusan are beneficiaries from inter-port competition in the region for the past three decades. The study suggests that inter-port competition in the region would intensify in the future as the centre of gravity of cargo volume shifts to mainland China. Moreover, concentration of services by shipping lines at the primary load centers might lead to intense competition between the primary load centers and ports located in close proximity that share their hinterlands.     

A review of port devolution and governance models with compound eyes approach

Port devolution and port governance are focal issues in port studies. This paper argues that the previous typology of port devolution and port governance, including port function matrix models, might have to be modified, in particular for Asian port cases, because they have not considered socio, economic, and political systems and historical aspects behind the port devolution continuum. This paper uses the “compound eyes” approach comprising of many similar, closely-packed facets called ommatidia, with a multiple angle view, to revisit and review previous port devolution and governance models. The paper aims to identify the limitations and rectify fallacies in previous port studies by conducting a critical review and taking a couple of Asian container port cases as examples. This paper contributes to the literature of port devolution and governance, illuminating crucial gaps that the previous studies have not addressed.     

Ports and regional development: A spatial analysis on a panel of European regions

This paper analyses the impact of port activities on local development for a sample of 621 TL-3 regions located in thirteen European countries and observed over the period 1998–2009. Using a spatial panel econometric framework which controls for spatial fixed effects, the paper provides an estimate of both the direct and indirect (i.e. spillover) effects associated to port activities. Results suggest that ports might have non-negligible effects on local GDP: interestingly, an important share of the effects takes place outside the region where the port is located.     

Post-entry container port capacity expansion

Port capacity development is a critical strategy for the growth of a new port, as well as for the development of existing ones, when both new and existing ports serve the same hinterland but have different competitive conditions. To study this strategy, we develop a two-stage duopoly model that comprises the pricing and capacity decisions of two heterogeneous players serving an increasing market. We identify the necessary condition for a port to increase its profit through capacity expansion, and characterize the condition when preemptive pricing by the dominant player is neither credible nor effective in preventing the smaller player from gaining market share. We also find the pure-strategy Nash equilibrium in the capacity expansion game for two ports that have different price sensitivities, as well as different operation and capacity investment costs. We apply the model results to the container port competition between Hong Kong and Shenzhen after Shenzhen port started its container operation in 1991. Our analysis explains the transition of market power from monopoly to duopoly, the fast development of Shenzhen Port, and the possible market structure changes with the continuing increase in demand.     

Carbon dioxide emissions from port container distribution: Spatial characteristics and driving factors

Port carbon dioxide (CO₂) emissions in China have become an ever-increasing public concern due to their significant impacts on human health and the environment. However, existing studies focus mainly on CO₂ emissions from vessels calling at the ports and cargo handling within the ports, paying little attention to the inland distribution networks. To fill this gap, this paper proposes an easily implemented method for calculating CO₂ emissions from port container distribution (PCD) and investigates their spatial characteristics and driving factors. By analyzing 30 container ports in China, the main findings are as follows. First, road transportation is the major contributor of CO₂ emissions from PCD due to the lack of rail and inland water transportation. Second, PCD carbon emissions exhibit significant local spatial clustering. That is, ports with similar geographical locations tend to present a similar pattern of PCD carbon emissions. Third, as suggested by the spatial Durbin model, PCD carbon emissions are negatively determined by local gross domestic product, number of port berths, but are positively determined by local tertiary industry value and highway freight volume, and waterway freight volume in both local and neighboring ports. These results provide empirical insights into cross-port collaboration in reducing PCD carbon emissions.     

The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis

The efficiency of the container port industry has been variously studied utilising either Data Envelopment Analysis (DEA) or Stochastic Frontier Analysis (SFA). Given the strengths and weaknesses associated with these two approaches, the efficiency estimates and scale properties derived from these analyses are not always convincing. This paper applies both approaches to the same set of container port data for the world’s largest container ports and compares the results obtained. A high degree of correlation is found between the efficiency estimates derived from all the models applied, suggesting that results are relatively robust to the DEA models applied or the distributional assumptions under SFA. High levels of technical efficiency are associated with scale, greater private-sector participation and with transhipment as opposed to gateway ports. In analysing the implications of the results for management and policy makers, a number of shortcomings of applying a cross-sectional approach to an industry characterised by significant, lumpy and risky investments are identified and the potential benefits of a dynamic analysis, based on panel data, are enumerated.     

Efficiency measurement of selected Australian and other international ports using data envelopment analysis

Available studies have not provided a satisfactory answer to the problem of making international comparisons of port efficiency. This study applies data envelopment analysis (DEA) to provide an efficiency measurement for four Australian and twelve other international container ports. While DEA has been applied to a wide number of different situations where efficiency comparisons are required, this technique has not previously been applied to ports. The DEA technique is useful in resolving the measurement of port efficiency because the calculations are non-parametric, can handle more than one output and do not require an explicit a priori determination of relationships between output and inputs, as is required for conventional estimation of efficiency using production functions. The ports of Melbourne, Rotterdam, Yokohama and Osaka are found to be the most inefficient ports in the sample, based on constant and variable returns to scale assumptions, mainly due to the enormous slack in their container berths, terminal area and labor inputs. The study also draws some policy implications for ports and recommends certain areas for future research.     

A frequency-based maritime container assignment model

This paper transfers the classic frequency-based transit assignment method of Spiess and Florian to containers demonstrating its promise as the basis for a global maritime container assignment model. In this model, containers are carried by shipping lines operating strings (or port rotations) with given service frequencies. An origin–destination matrix of full containers is assigned to these strings to minimize sailing time plus container dwell time at the origin port and any intermediate transhipment ports. This necessitated two significant model extensions. The first involves the repositioning of empty containers so that a net outflow of full containers from any port is balanced by a net inflow of empty containers, and vice versa. As with full containers, empty containers are repositioned to minimize the sum of sailing and dwell time, with a facility to discount the dwell time of empty containers in recognition of the absence of inventory. The second involves the inclusion of an upper limit to the maximum number of container moves per unit time at any port. The dual variable for this constraint provides a shadow price, or surcharge, for loading or unloading a container at a congested port. Insight into the interpretation of the dual variables is given by proposition and proof. Model behaviour is illustrated by a simple numerical example. The paper concludes by considering the next steps toward realising a container assignment model that can, amongst other things, support the assessment of supply chain vulnerability to maritime disruptions.     

Port performance in Asia: Does production efficiency imply environmental efficiency?

Atmospheric and water pollution are two main sources of negative environmental externalities generated by shipping. This study recognizes the negative externalities in the production of port services in East Asia by explicitly incorporating environmental impacts of shipping. Programming techniques are used to analyze 156 Origin–Destination pairs between 13 major East Asian ports, to derive the externality-augmented measures of port productivity and efficiency at the waterside. The results suggest that the inclusion of externality mitigation strategies can exert a considerable influence on efficiency performance.     

Modelling emission control taxes in port areas and port privatization levels in port competition and co-operation sub-games

Using a game theory approach, this paper analyses a situation in which the government imposes a certain emission tax on vessels and port operations for emission control in port areas. Two ports are considered: a purely private port and a landlord (partial public) port. These two ports are in Cournot or Bertrand competition or cooperation with differentiated service. Our model outcomes lead to the following conclusions. First, the optimal private level of port 2 under Cournot and Bertrand competitions varies between fully private and highly public concerned port, while government will prefer a highly public concerned or close to highly public concerned port in the cooperation scenario. Second, government will have to make more and stricter efforts to enhance environmental protection in the situation of port cooperation (monopoly) than in the case of inter-port competition, and all the optimal emission tax should be always lower than the marginal emission damage. Third, port privatization has a non-monotonous effect on ports’ environmental damage in the inter-port competition scenarios and a monotonous decreasing effect in the cooperation scenario. Fourth, the total emission tax revenue is always higher than the overall environmental damage in the cooperative scenario, and it may or may not be able to cover the whole environment damage in Cournot and Bertrand competitions. Finally, the government may face a trade-off among environmental protection, maximizing social welfare, satisfying individual motivation, when considering port cooperation (monopoly).     

A multioutput cost function for the services of Spanish ports' infrastructure

A long run multioutput cost function for the infrastructure services of Spanish ports is estimated using 286 observations on 26 ports during 11 years. Cargo specific marginal costs and the degree of economies of scale and scope are calculated up to a port level. Results show that liquid bulk and non-containerised general cargo present the lowest and largest marginal cost, respectively. Increasing returns to scale are present in general and for each and every port. A scope analysis indicates that port specialisation is not appropriate from the viewpoint of infrastructure.