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Mapping shipbuilding clusters in Tuscany: main features and policy implications

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  • Luciana Lazzeretti
  • Francesco Capone

Abstract

The subject of cluster identification takes on a new value today: it is no more only a methodological question, but a point of tactical importance, since both firms and regional administrations are founding their present policies on cluster-based localization strategies. The shipbuilding industry constitutes an interesting case study, being generally clustered and having a peculiar localization near harbour infrastructures. The Italian peninsula has a very active traditional shipbuilding industry, which developed in industrial districts and represents a leading made-in-Italy sector. Using the methodology of local labour systems, we identify, in particular, the clusters of pleasure and sporting boat building in Tuscany -- a major player in this industry -- and offer support to policy-makers and economic actors to develop the most appropriate policies and strategies for this sector. After the introduction, in Section 2, we briefly illustrate the competitive advantages of clustering and recall the attention to the need of a suitable methodology of cluster identification. In Section 3 we illustrate the method used and the widened notion of nautical filière adopted, while in Section 4 we present and discuss the main results obtained both for Italy and Tuscany. Finally, we offer some conclusive remarks and regional policy implications.

Suggested Citation

  • Luciana Lazzeretti & Francesco Capone, 2010. "Mapping shipbuilding clusters in Tuscany: main features and policy implications," Maritime Policy & Management, Taylor & Francis Journals, vol. 37(1), pages 37-52, January.
  • Handle: RePEc:taf:marpmg:v:37:y:2010:i:1:p:37-52
    DOI: 10.1080/03088830903461183
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    Cited by:

    1. 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.
    2. 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.
    3. Morrissey, Karyn & O’Donoghue, Cathal, 2013. "The role of the marine sector in the Irish national economy: An input–output analysis," Marine Policy, Elsevier, vol. 37(C), pages 230-238.
    4. 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.
    5. 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.
    6. Paul Tae-Woo Lee & Inkyo Cheong, 2013. "Clustering logistics with ports and shipping services in the time of troubled waters and free trade era," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(2), pages 95-99, March.
    7. Morrissey, Karyn & O'Donoghue, Cathal, 2012. "The Potential for an Irish Maritime Transportation Cluster: An Input-Output Analysis," Working Papers 148836, National University of Ireland, Galway, Socio-Economic Marine Research Unit.

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