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Article

Characterising Spatial Logistics Employment Clusters

Chhetri, Prem - Nama Orang; Butcher, Tim - Nama Orang; Corbitt, Brian - Nama Orang;

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.


Ketersediaan
#
IPC Corporate University Library ATC LO CHH c
ATC1600314
Tersedia
Informasi Detail
Judul Seri
International Journal of Physical Distribution & Logistics Management
No. Panggil
ATC LO CHH c
Penerbit
Australia : Emerald Insight., 2014
Deskripsi Fisik
23 p
Bahasa
English
ISBN/ISSN
0960-0035
Klasifikasi
LO
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
Vol. 44 Iss 3 pp
Subjek
Logistics Landscape
Spatial Autocorrelation
Spatial Logistics Cluster
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Chhetri, Prem
Versi lain/terkait
JudulEdisiBahasa
Collective action regimes in seaport clusters : the case of the lower Mississippi port clusteren
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Tentang Kami

PT Pendidikan Maritim dan Logistik Indonesia (PMLI) berdiri pada 10 Juli 2013, berdasarkan Akta Pendirian No. 26 Tanggal 10 Juli 2013 dan Akta Kementerian Hukum dan Hak Asasi Manusia No. AHU-45955.AH.01.01 tahun 2013.

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