Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis

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 var...

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Main Author: Gqozo, Pamela
Format: Others
Language:English
Published: University of Fort Hare 2013
Online Access:http://hdl.handle.net/10353/d1017941
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-ufh-vital-114862017-12-21T04:22:53ZImpact of oil price on tourism in South Africa: an error correction model (ECM) analysisGqozo, PamelaThe 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.University of Fort HareFaculty of Management & Commerce2013ThesisMastersM Com90 leaves; 30 cmpdfvital:11486http://hdl.handle.net/10353/d1017941EnglishUniversity of Fort Hare
collection NDLTD
language English
format Others
sources NDLTD
description 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.
author Gqozo, Pamela
spellingShingle Gqozo, Pamela
Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
author_facet Gqozo, Pamela
author_sort Gqozo, Pamela
title Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
title_short Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
title_full Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
title_fullStr Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
title_full_unstemmed Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis
title_sort impact of oil price on tourism in south africa: an error correction model (ecm) analysis
publisher University of Fort Hare
publishDate 2013
url http://hdl.handle.net/10353/d1017941
work_keys_str_mv AT gqozopamela impactofoilpriceontourisminsouthafricaanerrorcorrectionmodelecmanalysis
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