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Mapping shipbuilding clusters in Tuscany: main features and policy implications

机译:绘制托斯卡纳造船群的图:主要特征和政策含义

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摘要

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 filiere 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.
机译:集群识别的主题在今天具有了新的价值:这不仅是方法论上的问题,而且是战术上的重点,因为公司和地区政府都在建立基于集群的本地化策略的现行政策。造船业构成一个有趣的案例研究,通常被集群化,并且在港口基础设施附近具有特殊的定位。意大利半岛拥有非常活跃的传统造船业,该产业在工业区得到发展,并代表着意大利制造领域的领先地位。我们使用当地劳动力系统的方法,特别是在托斯卡纳(该行业的主要参与者)中识别娱乐和造船业的集群,并为决策者和经济参与者提供支持,以制定最合适的政策和策略对于这个部门。引言之后,在第2节中,我们简要说明了聚类的竞争优势,并回顾了对使用适当的聚类识别方法的注意。在第3节中,我们说明了所使用的方法,并扩大了航海鱼类的概念,而在第4节中,我们介绍并讨论了从意大利和托斯卡纳获得的主要结果。最后,我们提供一些结论性意见和区域政策含义。

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  • 来源
    《Maritime policy and management》 |2010年第1期|37-52|共16页
  • 作者单位

    Department of Business Economics, University of Florence, Via delle Pandette, 9, 50127 - Florence, Italy;

    Department of Business Economics, University of Florence, Via delle Pandette, 9, 50127 - Florence, Italy;

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  • 入库时间 2022-08-18 01:40:08

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