A Meta-Analysis of International Tourism Demand Elasticities

Bo Peng, Haiyan Song, Geoffrey I. Crouch, Stephen F. Witt

Research output: Journal article publicationJournal articleAcademic researchpeer-review

110 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)611-633
Number of pages23
JournalJournal of Travel Research
Volume54
Issue number5
DOIs
Publication statusPublished - 13 Sep 2015

Keywords

  • data characteristics
  • meta-analysis
  • study features
  • tourism demand elasticities

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation
  • Tourism, Leisure and Hospitality Management

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