Mapping spatial tourism and hospitality employment clusters: An application of spatial autocorrelation

Chhetri A., Arrowsmith C., Chhetri P. and Corcoran J. (2013) Mapping spatial tourism and hospitality employment clusters: An application of spatial autocorrelation. Tourism Analysis, 18 5: 559-573. doi:10.3727/108354213X13782245307830

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Author Chhetri A.
Arrowsmith C.
Chhetri P.
Corcoran J.
Title Mapping spatial tourism and hospitality employment clusters: An application of spatial autocorrelation
Journal name Tourism Analysis   Check publisher's open access policy
ISSN 1083-5423
Publication date 2013-11
Year available 2013
Sub-type Article (original research)
DOI 10.3727/108354213X13782245307830
Open Access Status File (Author Post-print)
Volume 18
Issue 5
Start page 559
End page 573
Total pages 15
Place of publication Putnam Valley, United States
Publisher Cognizant Communication Corporation
Collection year 2014
Abstract This article analyzes the characteristics and spatial clustering of tourism and hospitality employment clusters in Victoria, Australia. Using cluster theory as the theoretical base, three interrelated research questions are specifically addressed: What industries constitute the tourism and hospitality sector? What broader "groupings" does the sector exhibit? Are these tourism and hospitality industries clustered around strategic areas of economic and resource advantage? Using the Australian and New Zealand Standard Industrial Classification (at the four-digit level), industries explicitly related to tourism and hospitality were first identified and total numbers of individuals working within these industries were aggregated at a level of Statistical Local Area (similar to a suburb or a neighborhood). Results show that in 2006 employment in tourism and hospitality equate to 7.74% of total employment in Australia. "Cafés and restaurants" (22%) is the single largest tourism and hospitality-related employer, followed by "takeaway food services" (20%) and "accommodation" (16%). Using factor analysis, four broader functions were extracted to characterize the underlying structure and functional interdependency among tourism and hospitality industries. These functions include: tourism operational services, hospitality services, entertainment services, and infrastructure operational facilities services. Spatial autocorrelation measures have identified five established tourism and hospitality spatial clusters in Victoria, which we argue hold the potential to act as tourism growth foci to create business synergy and generate spill-over effects through regional collaboration, competition, and sharing of pooled resources between firms
Keyword Cluster theory
Geographical information system (GIS)
Spatial autocorrelation
Tourism and hospitality sector
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2014 Collection
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Created: Tue, 17 Dec 2013, 00:23:08 EST by System User on behalf of School of Geography, Planning & Env Management