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- W973105823 abstract "This research aims to increase the academic debate on which indicators and approachescapture more appropriately the phenomenon of economic clustering (see, for instance, Arbia& Piras, 2007). A composite measure is proposed combining discrete and continuous spaceindicators in order to identify spatial localization more effectively as proposed by severalauthors such as Arbia (2001), Guillain and Le Gallo (2007), and Sohn (2004). The paper isdevoted to unfolding the localization patterns of employment within three-digitmanufacturing industries by Italian provinces in 2007 employing the location quotient, thelocational Gini, the global Moran’s I, and the local indicator of spatial associations since theyprovide complementary information (see, for instance, Guillain & Le Gallo, 2007). Evidenceshows that the manufacture of military fighting vehicles has the highest localization withalmost full concentration; whereas the industry of other general-purpose machinery holds thehighest global Moran’s I. Moreover, the five three-digit industries within the two-digitmanufacture of machinery and equipment n.e.c. show a relatively high global autocorrelationand concentration. It emerged that these five three-digit medium-high technology intensityindustries showed numerous hot-spots clusters in the North of Italy, whereas the South ofItaly and Islands were characterized by low-low values associationsa mong Italian provincesin 2007." @default.
- W973105823 created "2016-06-24" @default.
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- W973105823 date "2013-02-01" @default.
- W973105823 modified "2023-09-23" @default.
- W973105823 title "An Exploratory Spatial Data Analysis ofManufacturing Concentration Patterns in Italy" @default.
- W973105823 hasPublicationYear "2013" @default.
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