A Meta-Analysis of International Tourism Demand Elasticities. (September 2015)

• Record Type: Journal Article
• Authors: Peng, Bo; Song, Haiyan; Crouch, Geoffrey I.; Witt, Stephen F.
• Is Part Of: Journal of travel research. Volume 54:Number 5(2015:Sep.)
• Page Start: 611
• Page End: 633
• Publication Date: 2015-09
• Subjects: tourism demand elasticities -- data characteristics -- study features -- meta-analysis; Travel -- Research -- Periodicals; Tourism -- Periodicals; Tourism -- Research -- Periodicals; 910.72
• DOI: 10.1177/0047287514528283
• Languages: English
• ISSNs: 0047-2875

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 1961–2011, 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.