Summary: | The study focuses on the impact of oil price on tourism in South Africa. Quarterly time series data for the period 1990 to 2012 was used in this study. Error correction model is the research instrument that was used to determine the impact of oil price on tourism in South Africa. The explanatory variables in this study are oil price, real exchange rates, gross domestic product, consumer price index and transport infrastructure investment. The results of the study revealed that oil price, consumer price index and real exchange rate have a negative long run relationship on tourism, while gross domestic product and transport infrastructure investment had a positive long run relationship on tourism. It was also shown that oil price is statistically significant relationship on tourism.
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