Networks and Spatial Economics

, Volume 14, Issue 3–4, pp 357–377 | Cite as

An Analysis of Shipping Agreements: The Cooperative Container Network

  • Simone Caschili
  • Francesca Medda
  • Francesco Parola
  • Claudio Ferrari
Article

Abstract

The recent economic downturn has intensified the need for cooperation among carriers in the container shipping industry. Indeed, carriers join inter-firm networks for several reasons such as achieving economies of scale, scope, and the search for new markets. In this paper we apply network analysis and construct the Cooperative Container Network in order to study how shipping companies integrate and coordinate their activities and to investigate the topology and hierarchical structure of inter-carrier relationships. Our data set is comprised of 65 carriers that provide 603 container services. The results indicate that the Cooperative Container Network (CCN) belongs to the family of small world networks. This finding suggests that the most cooperative companies are small-to-medium-size carriers that engage in commercial agreements in order to reduce costs and, when in partnership with larger carriers, these cooperative companies are able to compete, especially against the largest carriers. However shipping companies with high capacity engage in cooperation with other carriers by merely looking for local partners in order to increase their local and specialized market penetration.

Keywords

Container shipping line Cooperative agreement Small world network Complex network analysis 

References

  1. Ahuja G (2000) Collaboration networks, structural holes, and innovation: a longitudinal study. Adm Sci Q 45(3):425–455CrossRefGoogle Scholar
  2. Albert R, Barabási AL (2002) Statistical mechanics of complex networks. Rev Mod Phys 74:47–97CrossRefGoogle Scholar
  3. Alix Y, Slack B, Comtois C (1999) Alliance or acquisition? Strategies for growth in the container shipping industry, the case of CP ships. J Transp Geogr 7:203–208CrossRefGoogle Scholar
  4. Barabasi AL, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512CrossRefGoogle Scholar
  5. Barros CP (2005) Decomposing growth in Portuguese seaports: a frontier cost approach. Marit Econ Logist 7:297–315CrossRefGoogle Scholar
  6. Baum JAC, Shipilov AV, Rowley TJ (2003) Where do small worlds come from? Ind Corp Chang 12(4):697–725CrossRefGoogle Scholar
  7. Bergantino AS, Veenstra AW (2002) Interconnection and co-ordination: an application of network theory to liner shipping. Int J Marit Econ 4:231–248CrossRefGoogle Scholar
  8. Biggart N, Guillen M (1999) Developing difference: social organization and the rise of the auto industries of South Korea, Taiwan, Spain and Argentina. Am Sociol Rev 64:722–747CrossRefGoogle Scholar
  9. Blondel VD, Guillaume J, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 10:1742–5468Google Scholar
  10. Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang DU (2006) Complex networks: structure and dynamics. Phys Rep 424:175–308CrossRefGoogle Scholar
  11. Brooks MR, Blunden RG, Bidgood CI (1993) Strategic alliances in the global container transport industry. In: Rerck R (ed) Multinational strategic alliances. International Business Press, London, pp 221–250Google Scholar
  12. Brown L, Rugman A, Verbeke A (1989) Japanese joint ventures with western multinationals: synthesizing the economic and cultural explanations of failure. Asia Pac J Manag 6:225–242CrossRefGoogle Scholar
  13. Caves R, Porter ME (1977) From entry barriers to mobility barriers: conjectured decisions and contrived deterrence to new competition. Q J Econ 91:241–267CrossRefGoogle Scholar
  14. Chen J, Yahalom S (2013) Container slot co-allocation planning with joint fleet agreement in a round voyage for liner shipping. J Navig 66(4):589–603CrossRefGoogle Scholar
  15. Cisic D, Komadina P, Hlaca B (2007) Network analysis applied to Mediterranean liner transport system. In: Proceedings of the International Association of Maritime Economists Conference, AthensGoogle Scholar
  16. Clauset A, Newman MEJ, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70:066111–066117CrossRefGoogle Scholar
  17. Clauset A, Shalizi CR, Newman MEJ (2009) Power-law distributions in empirical data. SIAM Rev 51(4):661–703CrossRefGoogle Scholar
  18. Dittrich K, Duysters G, de Man AP (2007) Strategic repositioning by means of alliance networks: the case of IBM. Res Policy 36(10):1496–1511CrossRefGoogle Scholar
  19. Drewry Shipping Consultants (2005) Ship operating costs. Annual market review and forecast, LondonGoogle Scholar
  20. Ducruet C, Notteboom T (2012) The worldwide maritime network of container shipping: spatial structure and regional dynamics. Glob Networks 12(3):395–423CrossRefGoogle Scholar
  21. Ducruet C, Lee SW, Ng AKY (2010) Centrality and vulnerability in liner shipping networks: revisiting the Northeast Asian port hierarchy. Marit Policy Manag 37(1):17–36CrossRefGoogle Scholar
  22. Erdos P, Renyi A (1960) On the evolution of random graphs. Publ Math Inst Hung Acad Sci 12:17–61Google Scholar
  23. Farmer JD, Geanakoplos J (2008) The virtues and vices of equilibrium and the future of financial economics. arXiv:0803.2996Google Scholar
  24. Ferrari C, Parola F, Benacchio M (2008) Network economies in liner shipping: the role of the home markets. Marit Policy Manag 35(2):127–143CrossRefGoogle Scholar
  25. Financial Times (2013) ‘Big three’ container shipping groups plan alliance, 18 JuneGoogle Scholar
  26. Frémont A, Soppé M (2004) Les stratégies des armateurs de lignes régulières en matière de dessertes maritimes. Belgéo 4:391–406Google Scholar
  27. Garcia-Pont C, Nohria N (2002) Local versus global mimetism: the dynamics of alliance formation in the automobile industry. Strateg Manag J 23:307–321CrossRefGoogle Scholar
  28. Gardellin V, Das SK, Lenzini (2011) Cooperative vs. non-cooperative: self-coexistence among selfish cognitive devices. In: World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 I.E. International Symposium on a (pp. 1–3). IEEEGoogle Scholar
  29. Gimeno J (2004) Competition within and between networks: the contingent effect of competitive embeddedness on alliance formation. Acad Manag J 47(6):820–842CrossRefGoogle Scholar
  30. Goerzen A, Beamish PW (2005) The effect of alliance network diversity on multinational enterprise performance. Strateg Manag J 26(4):333–354CrossRefGoogle Scholar
  31. Gomes-Casseres B (1996) The alliance revolution: the new shape of business rivalry. Harvard University Press, CambridgeGoogle Scholar
  32. Graham MG (1998) Stability and competition in intermodal container shipping: finding a balance. Marit Policy Manag 25:129–147CrossRefGoogle Scholar
  33. Grandori A, Soda G (1995) Inter-firm networks: antecedents, mechanisms and forms. Organ Stud 16(2):183–214CrossRefGoogle Scholar
  34. Grønhaug K (1989) Knowledge transfer: the case of the Norwegian technology agreements. OMEGA Int J Manag Sci 17(3):273–279CrossRefGoogle Scholar
  35. Hoetker G, Mellewigt T (2009) Choice and performance of governance mechanisms: matching alliance governance to asset type. Strateg Manag J 30(10):1025–1044CrossRefGoogle Scholar
  36. Hoffmann J (2010) Shipping out of the economic crisis. Brown J World Aff 16(2):121–130Google Scholar
  37. Hubert L, Arabie P (1985) Comparing partitions. J Classif 2:193–218CrossRefGoogle Scholar
  38. Hüttenrauch M, Baum M, Vielfalt E (2008) Die dritte Revolution in der Automobilindustrie. Springer, BerlinGoogle Scholar
  39. Imai A, Nishimura E, Papadimitriou S, Liu M (2006) The economic viability of container mega-ships. Transp Res E 42:21–41CrossRefGoogle Scholar
  40. Koluza P, Kolzsch A, Gastner MT, Blasius B (2010) The complex network of global cargo ship movements. J R Soc Interface 7:1093–1103CrossRefGoogle Scholar
  41. Koza MP, Lewin AY (1999) The coevolution of network alliances: a longitudinal analysis of an international professional service network. Organ Sci 10(5):638–653CrossRefGoogle Scholar
  42. Lam JSL, van de Voorde E (2011) Scenario analysis for supply chain integration in container shipping. Marit Policy Manag 38(7):705–725CrossRefGoogle Scholar
  43. Li SX, Huang Z, Zhu J, Chau PYK (2002) Cooperative advertising, game theory and manufacturer–retailer supply chains. OMEGA Int J Manag Sci 30:347–357CrossRefGoogle Scholar
  44. Lorange P (2001) Strategic re-thinking in shipping companies. Marit Policy Manag 28(1):23–32CrossRefGoogle Scholar
  45. Márquez-Ramos L, Márquez-Ramos I, Pérez-García E, Wilmsmeier G (2011) Maritime networks, services structure and maritime trade. Netw Spat Econ 11:555–576CrossRefGoogle Scholar
  46. Midoro R, Pitto A (2000) A critical evaluation of strategic alliances in liner shipping. Marit Policy Manag 27(1):31–40CrossRefGoogle Scholar
  47. Newman MEJ (2003) Mixing patterns in networks. Phys Rev E 67:026126–026139CrossRefGoogle Scholar
  48. Newman MEJ (2006) Finding community structure in networks using the eigenvectors of matrices, arXiv:physics/0605087v3Google Scholar
  49. Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69:026113–026128CrossRefGoogle Scholar
  50. Newman MEJ, Strogatz SH, Watts DJ (2003) Random graphs with arbitrary degree distributions and their applications. Phys Rev E 64:026118 (1–17)CrossRefGoogle Scholar
  51. Notteboom T, Rodrigue JP (2012) The corporate geography of global container terminal operators. Marit Policy Manag 39(3):249–279CrossRefGoogle Scholar
  52. Notteboom T, Rodrigue JP, De Monie G (2010) The organizational and geographical ramifications of the 2008–09 financial crisis on the maritime shipping and port industries. In: Hall PV, McCalla B, Comtois C, Slack B (eds) Integrating seaports and trade corridors. Ashgate, SurreyGoogle Scholar
  53. Panayides PM, Cullinane K (2002) Competitive advantage in liner shipping: a review and research agenda. Int J Marit Econ 4:189–209CrossRefGoogle Scholar
  54. Panayides PM, Wiedmer R (2011) Strategic alliances in container liner shipping. Res Transp Econ 32:25–38CrossRefGoogle Scholar
  55. Parola F, Satta G, Caschili S (2013) Unveiling cooperative networks and ‘hidden families’ in the container port industry. Marit Policy Manag 40. doi:10.1080/03088839.2013.782442
  56. Patibandla M, Petersen B (2002) Role of transnational corporations in the evolution of a high-tech industry: the case of India’s software industry. World Dev 30(9):1561–1577CrossRefGoogle Scholar
  57. Phelps C, Schilling MA (2005) Interfirm collaboration networks: the impact of small world connectivity on firm innovation. Academy of Management Proceedings 2005 (1). Academy of ManagementGoogle Scholar
  58. Pons P, Latapy M (2006) Computing communities in large networks using random walks. J Graph Algorithm Appl 10(2):191–218CrossRefGoogle Scholar
  59. Reichardt J, Bornholdt S (2006) Statistical mechanics of community detection. Phys Rev E 74:016110–016124CrossRefGoogle Scholar
  60. Rimmer PJ (1998) Ocean liner shipping services: corporate restructuring and port selection/competition. Asia Pac Viewpoint 39(2):193–208CrossRefGoogle Scholar
  61. Roijakkers N (2003) Inter-firm cooperation in high-tech industries: a study of R&D partnerships in pharmaceutical biotechnology. PhD thesis, Maastricht University, MaastrichtGoogle Scholar
  62. Rosegger G (1992) Cooperative strategies in iron and steel: motives and results. OMEGA Int J Manag Sci 20(4):417–430CrossRefGoogle Scholar
  63. Rowley T, Behrens D, Krackhardt D (2000) Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries. Strateg Manag J 21:369–386CrossRefGoogle Scholar
  64. Saramäki J, Kivelä M, Onnela JP, Kaski K, Kertész J (2007) Generalizations of the clustering coefficient to weighted complex networks. Phys Rev E 75:027105–027109CrossRefGoogle Scholar
  65. Satta G, Parola F, Ferrari C, Persico L (2013) Linking growth to performance: insights from shipping line groups. Marit Econ Logist 15(3):349–373CrossRefGoogle Scholar
  66. Solomonov R (1951) Rapport A: connectivity of random nets. Bull Math Biophys 13:107–117CrossRefGoogle Scholar
  67. Soppé M, Parola F, Frémont A (2009) Emerging inter-industry partnerships between shipping lines and stevedores: from rivalry to cooperation? J Transp Geogr 17(1):10–20CrossRefGoogle Scholar
  68. Staropoli C (1998) Cooperation in R&D in the pharmaceutical industry—the network as an organizational innovation governing technological innovation. Technovation 18(1):13–23CrossRefGoogle Scholar
  69. Stopford M (2009) Maritime economics, 3rd edn. Routledge, LondonCrossRefGoogle Scholar
  70. Stuart TE, Hoang H, Hybels R (1999) Interorganizational endorsements and the performance of entrepreneurial ventures. Adm Sci Q 44:315–349CrossRefGoogle Scholar
  71. Sullivan BN, Tang Y (2012) Small-world networks, absorptive capacity and firm performance: evidence from the US venture capital industry. Int J Strateg Chang Manag 4(2):149–175CrossRefGoogle Scholar
  72. Sydow J, Windeler A (1998) Organizing and evaluating interfirm networks: a structurationist perspective on network processes and effectiveness. Organ Sci 9(3):265–284CrossRefGoogle Scholar
  73. Tang LC, Low JMW, Lam SW (2011) Understanding port choice behavior—a network perspective. Netw Spat Econ 11(1):65–82CrossRefGoogle Scholar
  74. UNCTAD (2012) Review of maritime transport 2012. United Nations Publication, GenevaGoogle Scholar
  75. Watts D, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393:440–442CrossRefGoogle Scholar
  76. Zaheer A, Bell GG (2005) Benefiting from network position: firm capabilities, structural holes, and performance. Strateg Manag J 26(9):809–826CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Simone Caschili
    • 1
  • Francesca Medda
    • 2
  • Francesco Parola
    • 3
  • Claudio Ferrari
    • 4
  1. 1.UCL QASER Lab and Centre for Advanced Spatial AnalysisUniversity College LondonLondonUK
  2. 2.UCL QASER LabUniversity College LondonLondonUK
  3. 3.Department of Business and Quantitative StudiesUniversity of Naples “Parthenope”NaplesItaly
  4. 4.Department of Economics and Business StudiesUniversity of GenoaGenoaItaly

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