World maritime cities: From which cities do container shipping companies make decisions?

In recent decades, many researchers have devoted themselves to the study of world cities. One of the most important contributions to world city research has come from the Globalisation and World Cities Study Group & Network (GaWC-Loughborough University). GaWC focuses on external relationships between world cities. It has analysed the world city network and the hierarchy between cities in various sectors, but primarily in advanced producer services (accountancy, advertising, banking/finance and law). Previous studies have identified London, New York, Paris and Tokyo as high-level global service centres, followed closely by Chicago, Frankfurt, Hong Kong, Los Angeles, Milan and Singapore. Thus far, however, the maritime sector has been neglected in the identification and analysis of global cities. The main purpose of the present article is to fill this void.The first part of our analysis includes a study of the literature on world cities and an examination of the criteria and methods on which previous research has been based. In part II, we explore the world maritime city network by applying and interpreting the GaWC methods. For a city to be recognised as a world maritime city, it must have a presence of container shipping companies and container terminal operators. As for the city's operational capacity, that is determined by the extent of linkages between those container shipping companies and container terminal operators, on the one hand, and the rest of the world maritime market, on the other hand. The collected empirical evidence shows that Hong Kong, Hamburg, Singapore, Shanghai, Tokyo, New Jersey/New York, Bangkok/Laem Chabang and London are the world's leading maritime cities. Furthermore, analysis of interrelations in these cities between shipping companies and container terminal has indicated Hong Kong, Hamburg and New York to be the main nodes in the world maritime city network.     

Determinants of spreads on new high yield bonds of shipping companies

This paper investigates determinants of pricing of new high yield bond offerings of shipping companies. New high yield bond offerings issued by shipping companies in the US market, during the period 1993–1998, are used in the investigation. The empirical results suggest that credit rating is the major determinant of the price spread of the bond offerings. Financial leverage and shipping market conditions also account for a significant part of the price variability.     

Fleet deployment, network design and hub location of liner shipping companies

A mixed integer linear programming formulation is proposed for the simultaneous design of network and fleet deployment of a deep-sea liner service provider. The underlying network design problem is based on a 4-index (5-index by considering capacity type) formulation of the hub location problem which are known for their tightness. The demand is elastic in the sense that the service provider can accept any fraction of the origin–destination demand. We then propose a primal decomposition method to solve instances of the problem to optimality. Numerical results confirm superiority of our approach in comparison with a general-purpose mixed integer programming solver.     

Levels of internationalization in the container shipping industry: an assessment of the port networks of the large container shipping companies

This paper examines the internationalization level of the world’s largest container shipping companies by examining their port networks. The results of our analysis show that only three of the nineteen companies could be considered as being truly ‘International’ and service the ‘lion’s share’ of the major and minor ports distributed across the globe. The port networks of the other companies in our survey, whilst having individualized features, shared common characteristics. Guided by the ‘Uppsala Model of Incremental Internationalization’ (Johanson and Vahlne, 1977), we were able to identify four internationalization levels of a container shipping company that are indicated by their port network.We argue that the port network plays an additional role as it contributes to the internationalization level of the container shipping companies. This is important because the internationalization level affects the container shipping company’s ability to expand its customer base both at a local and international level. Local customers would have access to a larger international destination network and international customers would be able access a larger local distribution network without transhipping between different companies.Amongst other issues, we were able to determine that, for the analyzed container shipping companies, ‘Internationalization’ of a port network means including or excluding ports in specific regions or sub-regions in their own network, and that a company’s home base or history plays a significant role in this development.     

Delivery leadtime and channel structure decisions for make-to-order duopoly under different game scenarios

We develop game-theoretic models to explore the quoted delivery leadtime, price, and channel structure decisions for a make-to-order duopoly system under three game scenarios. Under the integrated-manufacturer first scenario, we find that (i) decentralization of the supply chain increases quoted leadtime; and (ii) both manufacturers may choose different channel structures under symmetric duopoly. By comparing with the symmetric scenario and the retailer first scenario, we find that a manufacturer facing a decentralized rival adopts decentralization when leadtime sensitivity, leadtime cost, and price elasticity are very small; the effect of decentralization on quoted leadtime largely depends on game scenario.     

Liner hub-and-spoke shipping network design

This paper proposes a liner hub-and-spoke shipping network design problem by introducing the concept of a main port, as well as some container shipping constraints such as multi-type container shipment and transit time constraints, which are seldom considered in the previous studies. It develops a mixed-integer programming model with nonconvex multi-linear terms for the proposed problem. An efficient genetic algorithm embedded with a multi-stage decomposition approach is developed to solve the model. Numerical experiments are carried out to assess the effectiveness of the proposed model and the efficiency of the proposed algorithm.     

Mergers and acquisitions in shipping

In this comprehensive study of all shipping mergers and acquisitions from 1984 to 2011 we document that the shareholders of both acquirers and targets realise average abnormal gains of 1.2% and 3.3% respectively and both parties gain more from diversifying than focus-increasing deals. Acquirers gain more when paying with stock, in cross-border deals and from taking over public targets. Targets gain more from cross-border and focus-increasing deals. Regulatory interventions, like the EU repeal of exemption from competition and the US Ocean Shipping Reform Act, affect the marginal merger propensity and this propensity differs significantly across regions.     

Knowledge management enablers in liner shipping

This study empirically identifies crucial knowledge management enablers and examines their impacts on organizational performance using survey data collected from liner shipping firms include shipping companies and agencies. Results indicated that knowledge management enablers such as organizational structure and knowledge management culture are found to have significantly positive effects on the organizational performance aspects of innovativeness, financial performance, and customer service, whereas information technology support is a positive effect on organizational performance aspect of innovativeness. Theoretical and managerial implications of the research findings on knowledge management for liner shipping companies are discussed.     

Robust schedule design for liner shipping services

This paper examines the design of liner ship route schedules that can hedge against the uncertainties in port operations, which include the uncertain wait time due to port congestion and uncertain container handling time. The designed schedule is robust in that uncertainties in port operations and schedule recovery by fast steaming are captured endogenously. This problem is formulated as a mixed-integer nonlinear stochastic programming model. A solution algorithm which incorporates a sample average approximation method, linearization techniques, and a decomposition scheme, is proposed. Extensive numerical experiments demonstrate that the algorithm obtains near-optimal solutions with the stochastic optimality gap less 1.5% within reasonable time.     

River-sea shipping - competitiveness of various transport technologies

This paper evaluates two existing and one new river-sea transport technology. As existing technologies, we are dealing with river-sea transport with transhipment of cargos from sea to river ships and vice versa at ports located in the river mouths and technology with river-sea vessels and the river-sea push barge system. The new cost based models are developed for each of these technologies and illustrated through various examples. The proposed models consider the dependence between minimal total costs and relations of sea transport distance to total transport distance, on one side, and a level of cargo handling rates in ports, on the other side. An analysis of the results provides us with the possibility of drawing useful guidelines for further improvement and development of river-sea transport and its technologies.     

Robust schedule design for liner shipping services

This paper examines the design of liner ship route schedules that can hedge against the uncertainties in port operations, which include the uncertain wait time due to port congestion and uncertain container handling time. The designed schedule is robust in that uncertainties in port operations and schedule recovery by fast steaming are captured endogenously. This problem is formulated as a mixed-integer nonlinear stochastic programming model. A solution algorithm which incorporates a sample average approximation method, linearization techniques, and a decomposition scheme, is proposed. Extensive numerical experiments demonstrate that the algorithm obtains near-optimal solutions with the stochastic optimality gap less 1.5% within reasonable time.     

Default risk drivers in shipping bank loans

This paper proposes a credit scoring model for the empirical assessment of default risk drivers of shipping bank loans. A unique dataset, consisting of the credit portfolio of a ship-lending bank is used to estimate a logit model with two-way clustered adjusted standard errors, ensuring robust inferences. Industry specific variables, captured through current and expected conditions in the extremely volatile global shipping freight markets, the risk appetite of borrowers–the shipowners – expressed through the chartering policy they follow – and a pricing variable, are shown for the first time to be the important factors explaining default probabilities of bank loans.     

Evolution of regional inequality in the global shipping network

Global shipping is a backbone of the global economy, and as such, it evolves alongside the development of trade and the elaboration of commodity chains. This paper investigates the evolution of regional inequality in the global shipping network by analyzing the changing positions of world regions during the period from 2001 to 2012. This was a period of both prosperity and recession in maritime shipping. Using data on inter-regional flow connections, the positions of seventeen regions in the global shipping network are analyzed in terms of their traffic development, centrality, dominance and vulnerability. The East Asian, Northwest European and Europe Mediterranean regions have consistently held the highest positions, while East African and North African regions have held the lowest positions. By commanding the largest flows in the network, East Asia assumes a dominant position. The Australasian, North American West Coast, Northwest European and Southern African regions show an increasing dependency on East Asia. The analysis also identifies a few emerging regions that have had the highest growth rates in total traffic volume and connectivity for the studied period, namely South American North Coast, South American East Coast, West Africa, Southern Africa and West Asia. The empirical results of this paper supplement existing research on global shipping network evolution. One implication of the analysis is that the traffic growth of East Asia does not imply that, there is an equivalent improvement in its position in the global shipping network. The paper also shows that indicators from network analysis may be used to provide a more nuanced understanding of port-regional development than existing measures based solely on total traffic volume.     

Urban gravity in the global container shipping network

While the spatial and functional relationships between ports and cities have been put in question in the last decades, the continued importance of urbanization and maritime transport in global socio-economic development motivates deeper research on their interaction. The global trade network is often studied at the country level and all transport modes included, concluding that distance remains a strong counterforce to exchange. This article wishes to detect whether the global container shipping network obeys similar properties at the city level. More than 2 million inter-port vessel movements between 1977 and 2016 are assigned to about 9000 ports and 4600 cities to run a gravity model on two different network topologies. Gravitational properties are found, as larger cities connect more with each other but less at distance. The degree of distance effects negatively expanded in 40 years, confirming the “puzzling” or reinforcing effect of distance, yet it varies greatly depending on node aggregation and network topology. We conclude that ports and cities continue to share important interdependencies, but these often rest on a detrimental physical transformation. A discussion is proposed about the underlying operational and theoretical mechanisms at stake. Keywords container shipping; gravity model; maritime trade; port cities; spatial interaction; world city networks.     

The liner shipping industry and EU competition rules

The literature has always looked at co-operation in the shipping industry with some benevolence. While co-operation benefits the transport industry as it reduces operators, guarantees higher profits and regulates supply, does it also increase the consumers’ surplus, or does it cause lower benefits and eventually inefficiency? In fact, liner shipping is the sole industry that is heavily exempted from antitrust regulations, both in Europe and North America. The paper, moving from the recent decision of the EU regarding the maritime liner sector, and from the EU Commission's Consultation Paper on the review of Regulation 4056/86, aims at investigating in what ways antitrust rules can “monitor and control” the market in a proper way according to the emerging trends of integration in the maritime logistics sector.     

Operational shadow pricing in back haul container shipping

Minimum acceptable rates for back haul cargo are difficult for carriers to establish in practice. They depend on complex factors such as availability of empty containers in the vicinity, cost of repositioning empties and container on-hiring decisions. A shadow pricing and “shadow credit” approach is proposed and applied to an inland network. Such a model can help carriers undertake yield management at the operational level to improve financial performance in a post-conference era. Results also suggest a positive relationship between variability in the imbalance situation of laden containers in a particular trade and volatility of short-term back haul freight rates.     

Corporate social responsibility disclosure: The case of international shipping

Based on practices and legislation in the shipping industry, we construct a corporate social responsibility (CSR) disclosure index for listed shipping companies. We use Markov Chain Monte Carlo (MCMC) techniques for Bayesian inference, and we estimate the marginal effects of firm characteristics on CSR disclosure for each firm. Our results show a positive relationship between CSR disclosure and financial performance for each firm in our international sample. Firm size, financial leverage, and ownership structure are also associated with CSR disclosure. Our findings suggest that a majority of listed shipping companies have integrated CSR practices into their strategic planning and operations.     

Modelling airline flight cancellation decisions

In order to predict airline responses to Traffic Management Initiatives (TMIs), and reveal the underlying preference structures that shape these responses, we study US domestic airlines’ cancellation decisions in response to the Federal Aviation Administration (FAA)’s TMIs, in particular, to Ground Delay Programs (GDPs). By observing the actual flight-cancellation choices made by airline dispatchers, the airlines’ cancellation utility functions can be inferred through the use of binary choice models. The model captures how delays to a given flight and potential delay savings to other flights affect flight cancellation decisions. We also find larger, fuller, less frequent, shorter-distance, and spoke-bound flights are less likely to be cancelled, and that there is inter-airline variation in flight cancellation behaviour.     

Service quality gaps of business customers in the shipping industry

This paper extends the gaps model of [Zeithaml, V.A., Parasuraman, A., Berry, L. 1990. Delivering Quality Service: Balancing Customer Perceptions and Expectation. The Free Press, New York] from the service provider to the business customer side by examining two service quality (SQ) gaps. One is the SQ gap between types of business customers and the other is the SQ gap among employee statuses of business customers. Besides that, the five-factor SERVQUAL measure as the initial hypothesized model is also tested. The applicability of SERVQUAL to measuring the perceived SQ of customers in the shipping industry of Taiwan is rejected empirically. The existence of the two hypothesized gaps is verified by the method of MANOVA.     

The determinants of credit spreads changes in global shipping bonds

This paper investigates whether bond, issuer, industry and macro-specific variables account for the observed variation of credit spreads’ changes of global shipping bond issues before and after the onset of the subprime financial crisis. Results show that conclusions as to the significant variables of spreads depend significantly on whether two-way cluster-adjusted standard errors are utilized, thus rendering results in the extant literature ambigious. The main determinants of global cargo-carrying companies’ shipping bond spreads are found in this paper to be: the liquidity of the bond issue, the stock market’s volatility, the bond market’s cyclicality, freight earnings and the credit rating of the bond issue.