Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition

Lau, PL; Koo, TTR; Dwyer, L

Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition

Lau, PL Koo, TTR Dwyer, L

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Tourism Management, 2017, 59, (C), pp. 171-181
Issue Date:: 2017-04-01

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Field	Value	Language
dc.contributor.author	Lau, PL
dc.contributor.author	Koo, TTR
dc.contributor.author	Dwyer, L https://orcid.org/0000-0002-9797-1043
dc.date.accessioned	2022-09-22T07:15:38Z
dc.date.available	2022-09-22T07:15:38Z
dc.date.issued	2017-04-01
dc.identifier.citation	Tourism Management, 2017, 59, (C), pp. 171-181
dc.identifier.issn	0261-5177
dc.identifier.issn	1879-3193
dc.identifier.uri	http://hdl.handle.net/10453/161985
dc.description.abstract	Compared to the metrics of tourism seasonality or tourism income distribution, metrics of tourism spatiality remains under-explored. Our principal aim is to enhance the way we measure the geographic dispersal of visitors by developing a Gini index–inspired dispersal metric. We discuss the theoretical criteria for an ideal spatial metric and use these criteria to highlight the important links and differences between Gini and the common ratio approach. Applying the methods to inbound Australian tourism data, we find that considering only one method in isolation not only increases the risk of incorrectly measuring the spatial performance of markets but also ignores interesting, and often offsetting, heterogeneous influences in the data. We expect the outcomes to aid tourism researchers and managers wanting to widen their repertoire in spatial measurement methods, and aid the choice of most appropriate method based on criteria firmly grounded in theory.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Tourism Management
dc.relation.isbasedon	10.1016/j.tourman.2016.07.019
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1504 Commercial Services, 1505 Marketing, 1506 Tourism
dc.subject.classification	Sport, Leisure & Tourism
dc.title	Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition
dc.type	Journal Article
utslib.citation.volume	59
utslib.for	1504 Commercial Services
utslib.for	1505 Marketing
utslib.for	1506 Tourism
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-22T07:15:37Z
pubs.issue	C
pubs.publication-status	Published
pubs.volume	59
utslib.citation.issue	C

Abstract:

Compared to the metrics of tourism seasonality or tourism income distribution, metrics of tourism spatiality remains under-explored. Our principal aim is to enhance the way we measure the geographic dispersal of visitors by developing a Gini index–inspired dispersal metric. We discuss the theoretical criteria for an ideal spatial metric and use these criteria to highlight the important links and differences between Gini and the common ratio approach. Applying the methods to inbound Australian tourism data, we find that considering only one method in isolation not only increases the risk of incorrectly measuring the spatial performance of markets but also ignores interesting, and often offsetting, heterogeneous influences in the data. We expect the outcomes to aid tourism researchers and managers wanting to widen their repertoire in spatial measurement methods, and aid the choice of most appropriate method based on criteria firmly grounded in theory.

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http://hdl.handle.net/10453/161985