Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa

2.50
Hdl Handle:
http://hdl.handle.net/10547/594769
Title:
Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa
Authors:
Seetanah, Boopen; Durbarry, Ramesh; Ragodoo, J.F. Nicolas
Abstract:
Estimating tourism demand has become a challenge among researchers, as identification of key determinants is important for policymakers at a time when tourism has become the world's largest industry. Using a theoretical framework based on the gravity model, this paper models inbound tourism demand for South Africa to estimate price and income sensitivities as well as the impact of other important factors that affect tourist flows, such as the location of markets and socio-political factors. Given the non-stationary but cointegrated nature of the panel data, panel cointegration estimation techniques are employed. The results show that tourists are sensitive to price changes in South Africa and also to tourism price changes in competing destinations. The level of development, tourism infrastructure, distance (or transportation costs), common border and language are also found to affect arrivals. The results also indicate the need to conduct estimation by regional groupings for a better understanding of different markets.
Citation:
Seetanah, B., Durbarry, R., Ragodoo, J.F.N. (2010) 'Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa'. Tourism Economics16 (3):715
Publisher:
IP Publishing
Journal:
Tourism Economics
Issue Date:
1-Sep-2010
URI:
http://hdl.handle.net/10547/594769
DOI:
10.5367/000000010792278437
Additional Links:
http://openurl.ingenta.com/content/xref?genre=article&issn=1354-8166&volume=16&issue=3&spage=715
Type:
Article
Language:
en
ISSN:
1354-8166
Appears in Collections:
INTOUR Institute for Tourism Research

Full metadata record

DC FieldValue Language
dc.contributor.authorSeetanah, Boopenen
dc.contributor.authorDurbarry, Rameshen
dc.contributor.authorRagodoo, J.F. Nicolasen
dc.date.accessioned2016-01-25T11:18:43Zen
dc.date.available2016-01-25T11:18:43Zen
dc.date.issued2010-09-01en
dc.identifier.citationSeetanah, B., Durbarry, R., Ragodoo, J.F.N. (2010) 'Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa'. Tourism Economics16 (3):715en
dc.identifier.issn1354-8166en
dc.identifier.doi10.5367/000000010792278437en
dc.identifier.urihttp://hdl.handle.net/10547/594769en
dc.description.abstractEstimating tourism demand has become a challenge among researchers, as identification of key determinants is important for policymakers at a time when tourism has become the world's largest industry. Using a theoretical framework based on the gravity model, this paper models inbound tourism demand for South Africa to estimate price and income sensitivities as well as the impact of other important factors that affect tourist flows, such as the location of markets and socio-political factors. Given the non-stationary but cointegrated nature of the panel data, panel cointegration estimation techniques are employed. The results show that tourists are sensitive to price changes in South Africa and also to tourism price changes in competing destinations. The level of development, tourism infrastructure, distance (or transportation costs), common border and language are also found to affect arrivals. The results also indicate the need to conduct estimation by regional groupings for a better understanding of different markets.en
dc.language.isoenen
dc.publisherIP Publishingen
dc.relation.urlhttp://openurl.ingenta.com/content/xref?genre=article&issn=1354-8166&volume=16&issue=3&spage=715en
dc.rightsArchived with thanks to Tourism Economicsen
dc.subjectdynamic panel dataen
dc.subjectprice sensitivityen
dc.subjectSouth Africaen
dc.subjecttourism demanden
dc.titleUsing the panel cointegration approach to analyse the determinants of tourism demand in South Africaen
dc.typeArticleen
dc.identifier.journalTourism Economicsen
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