Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29546
Title: A Meta-Analysis of International Tourism Demand Elasticities
Authors: Peng, B
Song, H 
Crouch, GI
Witt, SF
Keywords: Data characteristics
Meta-analysis
Study features
Tourism demand elasticities
Issue Date: 2015
Publisher: SAGE Publications
Source: Journal of travel research, 2015, v. 54, no. 5, p. 611-633 How to cite?
Journal: Journal of travel research 
Abstract: This study uses meta-analysis to examine the relationship between estimated international tourism demand elasticities and the data characteristics and study features that may affect such empirical estimates. By reviewing 195 studies published during the period 1961�V2011, the meta-regression analysis shows that origin, destination, time period, modeling method, data frequency, the inclusion/omission of other explanatory variables and their measures, and sample size all significantly influence the estimates of the demand elasticities generated by a model. Moreover, the demand elasticities at both product and destination levels are generalized by statistically integrating previous empirical estimates. The findings of this meta-analysis will be useful wherever an understanding of the drivers of tourism demand is critically important. ? 2014, ? The Author(s) 2014.
URI: http://hdl.handle.net/10397/29546
ISSN: 0047-2875
EISSN: 1552-6763
DOI: 10.1177/0047287514528283
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