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  • Characterising spatial logistics employment clusters

    Author(s)
    Chhetri, Prem
    Butcher, Tim
    Corbitt, Brian
    Griffith University Author(s)
    Butcher, Tim J.
    Year published
    2014
    Metadata
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    Abstract
    Purpose – The purpose of this paper is twofold. First to identify economic activities and broader spatial logistics functions that characterise an urban setting, and second to delineate significant spatial logistics employment clusters to represent the underlying regional geography of the logistics landscape. Design/methodology/approach – Using the four-digit Australian and New Zealand Standard Industrial Classification, industries “explicitly” related to logistics were identified and aggregated with respect to employment. A principal component analysis was conducted to capture the functional interdependence of inter-related ...
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    Purpose – The purpose of this paper is twofold. First to identify economic activities and broader spatial logistics functions that characterise an urban setting, and second to delineate significant spatial logistics employment clusters to represent the underlying regional geography of the logistics landscape. Design/methodology/approach – Using the four-digit Australian and New Zealand Standard Industrial Classification, industries “explicitly” related to logistics were identified and aggregated with respect to employment. A principal component analysis was conducted to capture the functional interdependence of inter-related industries and measures of spatial autocorrelation were also applied to identify spatial logistics employment clusters. Findings – The results show that the logistics sector accounts for 3.57 per cent of total employment and that road freight, postal services, and air and space transport are major employers of logistics managers. The research shows significant spatial clustering of logistics employment in the western and southern corridors of Melbourne, associated spatially with manufacturing, service industry and retail hubs in those areas. Research limitations/implications – This research offers empirically informed insights into the composition of spatial logistics employment clusters to regions that lack a means of production that would otherwise support the economy. Inability to measure the size of the logistics sector due to overlaps with other sectors such as manufacturing is a limitation of the data used. Practical implications – The research offers policymakers and practitioners an empirically founded basis on which decisions about future infrastructure investment can be evaluated to support cluster development and achieve economies of agglomeration. Originality/value – The key value of this research is the quantification of spatial logistics employment clusters using spatial autocorrelation measures to empirically identify and spatially contextualize logistics hubs.
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    Journal Title
    International Journal of Physical Distribution and Logistics Management
    Volume
    44
    Issue
    3
    DOI
    https://doi.org/10.1108/IJPDLM-03-2012-0086
    Subject
    Transportation and Freight Services not elsewhere classified
    Commerce, Management, Tourism and Services
    Publication URI
    http://hdl.handle.net/10072/173517
    Collection
    • Journal articles

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