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

Boopen Seetanah ^[1] ; Ramesh Durbarry ^[2] ; J.F.Nicolas Ragodoo ^[1]
1. [1] University of Mauritius
  
  University of Mauritius
  
  Mauricio
2. [2] University of Technology, Mauritius
  
  University of Technology, Mauritius
  
  Mauricio
Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 16, Nº. 3, 2010, págs. 715-729
Idioma: inglés
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Resumen
- 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.