Estimating demand elasticities for intra-regional tourist arrivals to Hong Kong - the 'bounds' testing approach

Koon Nam Henry Lee*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

11 Citations (Scopus)

Abstract

The aim of this study is to develop econometric models for estimating tourism demand elasticities using the Autoregressive Distributed Lag (ARDL) approach to cointegration analysis, and to explain the effects of economic determinants on inbound tourist flows to Hong Kong from four major short-haul markets. The cointegration test used is the 'bounds' test of Pesaran et al. (2001) that is based on the estimation of an Unrestricted Error-Correction Model (UECM). This article addresses one of the major problems of how to use a relatively small sample to estimate tourism demand elasticities using cointegration approaches, which is faced by many researchers in modelling tourism demand. The results show that permanent income is the most important explanatory variable for all origin countries, but there are substantial variations between countries with the long-run elasticity ranging between 1.74 for China and 3.05 for Australia. Price elasticity is the next most important variable with the longrun elasticities ranging from 0.35 (Australia) to 0.98 (Taiwan). The findings are consistent with economic theory and have implications for government policies and strategies on investment, marketing and promotion and pricing. © 2011 Taylor & Francis.
Original languageEnglish
Pages (from-to)1645-1654
JournalApplied Economics Letters
Volume18
Issue number17
Online published21 Apr 2011
DOIs
Publication statusPublished - Nov 2011

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

  • Bounds testing
  • Cointegration
  • Demand elasticities
  • Tourism demand

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