Modelling tourism and hospitality employment clusters: a spatial econometric approach

Chhetri, Anjali, Chhetri, Prem, Arrowsmith, Colin and Corcoran, Jonathan (2016) Modelling tourism and hospitality employment clusters: a spatial econometric approach. Tourism Geographies, 1-27. doi:10.1080/14616688.2016.1253765


Author Chhetri, Anjali
Chhetri, Prem
Arrowsmith, Colin
Corcoran, Jonathan
Title Modelling tourism and hospitality employment clusters: a spatial econometric approach
Journal name Tourism Geographies   Check publisher's open access policy
ISSN 1470-1340
1461-6688
Publication date 2016-11-17
Sub-type Article (original research)
DOI 10.1080/14616688.2016.1253765
Open Access Status Not yet assessed
Start page 1
End page 27
Total pages 27
Place of publication Abingdon, Oxon, United Kingdom
Publisher Routledge
Collection year 2017
Language eng
Abstract Geographic clustering of industries for mutual economic benefit has long been recognised. The concept of ‘externalities’ introduced by Alfred Marshall early last century rely on agglomeration of specialised industry within a geographic area. However, only recently has cluster modelling been applied to the tourism and hospitality (T&H) industry. The aim of this paper, therefore, is twofold: first is to develop a cluster-based theoretical framework for delineating geographic boundaries of T&H clusters, and second is to identify the underlying factors that drive their form and shape. Drawing on employment data as the basis for co-location of T&H firms, spatial econometrics techniques are applied to model the spatial clustering of T&H employment in Victoria, Australia. Results show that rural tourism regions have higher levels of employment in tourism operational services whereas employment in city-based regions is more concentrated in hospitality services. Our findings, when normalised as a percentage of total employment, show that rural and regional Victoria ranks most highly as employers in the T&H industry. Adopting a range of spatial metrics, we show that T&H clustering throughout Victoria is largely driven by six location-specific factors: (1) the availability of tourism attractions; (2) proximity to the coast; (3) the road density network; (4) accessibility to employment within the Melbourne CBD; (5) the scale of the regional economy; and, (6) the advantages and disadvantages associated with economic resources. We conclude that the cluster-led strategy pose a number of challenges for tourism planners to promote regional tourism. Nevertheless, results from this study indicate that T&H employment clustering creates a more cohesive spatial structure that could support economic development and better connectedness of tourism destinations. These clusters could act as service hubs to their wider catchment areas where visitors are encouraged to stay overnight and travel to specific sights during the day.
Keyword Employment
GIS
Spatial autocorrelation
Spatial cluster
Tourism and hospitality sector
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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