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Maritime cluster evolution based on symbiosis theory and Lotka--Volterra model

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  • Wei Zhang
  • Jasmine Siu Lee Lam

Abstract

Over the past few years, the concept of cluster has been regarded and adopted as a useful policy tool in analyzing maritime industry development. However, there is a lack of studies on the theoretical development of maritime cluster evolution in the existing literature. This paper aims to investigate the dynamic symbiosis derived from maritime cluster evolution. The research leads to a new path to investigate maritime cluster by employing the symbiosis theory in ecology and the Lotka--Volterra model. The paper first develops the concept of maritime cluster classification and evolution. Then, it analyses the compatibility and analogy of biotic community with maritime cluster. In order to study the interaction relationships among maritime sectors, the Lotka--Volterra model is introduced. The model is used to group the revenues of maritime sectors in pairs. These revenues are in turn grouped into a number of comparative pairs accordingly. The model is further advanced to forecast the trend of maritime clusters by studying the existence of an equilibrium point and its stability with the estimated functions. The original approach would deepen the understanding on maritime cluster and stimulate future research. The study also draws insights for policy makers in maritime nations.

Suggested Citation

  • Wei Zhang & Jasmine Siu Lee Lam, 2013. "Maritime cluster evolution based on symbiosis theory and Lotka--Volterra model," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(2), pages 161-176, March.
    • Handle: RePEc:taf:marpmg:v:40:y:2013:i:2:p:161-176
    DOI: 10.1080/03088839.2012.757375
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    1. Peter W. De Langen & Michiel Nijdam, 2003. "Leader Firms in the Dutch Maritime Cluster," ERSA conference papers ersa03p395, European Regional Science Association.
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    Cited by:

    1. Yang, Dong & Li, Chengkun & Li, Lu & Lai, Kee-hung & Lun, Venus Y.H., 2022. "Maritime cluster relatedness and policy implications," Transport Policy, Elsevier, vol. 128(C), pages 76-88.
    2. Anthony Pagano & Grace Wang & Onésimo Sánchez & Ricardo Ungo & Eddie Tapiero, 2016. "The impact of the Panama Canal expansion on Panama’s maritime cluster," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(2), pages 164-178, February.
    3. Marasco, Addolorata & Romano, Alessandro, 2018. "Inter-port interactions in the Le Havre-Hamburg range: A scenario analysis using a nonautonomous Lotka Volterra model," Journal of Transport Geography, Elsevier, vol. 69(C), pages 207-220.
    4. George K. Vaggelas & Athanasios A. Pallis, 2019. "Configuration and Prospects of the Piraeus Shipping Cluster," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 69(1-2), pages 3-17, January-J.
    5. Rolv Petter Amdam & Ove Bjarnar & Jinmin Wang, 2018. "The dynamic role of small- and medium-sized multinationals in global production networks: Norwegian maritime firms in the Greater Shanghai Region in China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(1), pages 37-52, January.
    6. Shi, Xin & Jiang, Haizhou & Li, Huan & Wang, Ying, 2020. "Upgrading port-originated maritime clusters: Insights from Shanghai's experience," Transport Policy, Elsevier, vol. 87(C), pages 19-32.
    7. Peter J. Stavroulakis & Stratos Papadimitriou, 2017. "Situation analysis forecasting: the case of European maritime clusters," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 779-789, August.
    8. Efimova Elena & Vroblevskaya Svetlana, 2019. "Are Eastern Baltic Ports the drivers of Eurasian trade?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(3), pages 268-281, September.
    9. Zhang, Wei & Lam, Jasmine Siu Lee, 2017. "An empirical analysis of maritime cluster evolution from the port development perspective – Cases of London and Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 219-232.
    10. Shi, Xin & Wang, Ying & Zhuang, Hui & Li, Huan & Jiang, Haizhou & Xu, Dong, 2021. "Global hierarchy of maritime clusters: Stability and reconstruction," Journal of Transport Geography, Elsevier, vol. 96(C).
    11. Lee, Choong Bae & Wan, Junbin & Shi, Wenming & Li, Kevin, 2014. "A cross-country study of competitiveness of the shipping industry," Transport Policy, Elsevier, vol. 35(C), pages 366-376.
    12. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.
    13. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    14. Jasmine Siu Lee Lam & Wei Yim Yap, 2019. "A Stakeholder Perspective of Port City Sustainable Development," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    15. Woo, Jong-Kyun & Moon, Daniel S.H. & Lam, Jasmine Siu Lee, 2018. "The impact of environmental policy on ports and the associated economic opportunities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 234-242.
    16. Shi, Xin & Jiang, Haizhou & Li, Huan & Xu, Dong, 2020. "Maritime cluster research: Evolutionary classification and future development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 237-254.

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