An ARDL modelling approach to international tourism demand in Tanzania

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dc.contributor.advisorMuchapondwa, Edwinen_ZA
dc.contributor.authorBashagi, Asimween_ZA
dc.date.accessioned2015-01-10T06:43:30Z
dc.date.available2015-01-10T06:43:30Z
dc.date.issued2009en_ZA
dc.descriptionIncludes bibliographical references (leaves 39-42).en_ZA
dc.description.abstractThe objective of this study was to model the extent of international tourist demand in Tanzania. Thus, the study aimed to investigate the factors affecting international tourism demand. Domestic tourism prices, travel costs, alternative destination tourism prices, exchange rates, world income and taste formation were selected as the main determinants. Dummy variables for the September 2001 USA terror attack and the 1998 Tanzania US embassy bombing were also included in the model. The dummy variables were treated in two different ways, to capture the temporary and permanent effects these events had on tourism demand. The study applied the Autoregressive Distributed Lag approach to modelling international tourist demand in Tanzania. The findings are consistent with economic theory and with empirical evidence from other studies. The model passed all diagnostic tests. Therefore, the results from this study may be used as a guide in formulating relevant tourism policy for Tanzania.en_ZA
dc.identifier.apacitationBashagi, A. (2009). <i>An ARDL modelling approach to international tourism demand in Tanzania</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/11874en_ZA
dc.identifier.chicagocitationBashagi, Asimwe. <i>"An ARDL modelling approach to international tourism demand in Tanzania."</i> Thesis., University of Cape Town ,Faculty of Commerce ,School of Economics, 2009. http://hdl.handle.net/11427/11874en_ZA
dc.identifier.citationBashagi, A. 2009. An ARDL modelling approach to international tourism demand in Tanzania. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Bashagi, Asimwe AB - The objective of this study was to model the extent of international tourist demand in Tanzania. Thus, the study aimed to investigate the factors affecting international tourism demand. Domestic tourism prices, travel costs, alternative destination tourism prices, exchange rates, world income and taste formation were selected as the main determinants. Dummy variables for the September 2001 USA terror attack and the 1998 Tanzania US embassy bombing were also included in the model. The dummy variables were treated in two different ways, to capture the temporary and permanent effects these events had on tourism demand. The study applied the Autoregressive Distributed Lag approach to modelling international tourist demand in Tanzania. The findings are consistent with economic theory and with empirical evidence from other studies. The model passed all diagnostic tests. Therefore, the results from this study may be used as a guide in formulating relevant tourism policy for Tanzania. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - An ARDL modelling approach to international tourism demand in Tanzania TI - An ARDL modelling approach to international tourism demand in Tanzania UR - http://hdl.handle.net/11427/11874 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11874
dc.identifier.vancouvercitationBashagi A. An ARDL modelling approach to international tourism demand in Tanzania. [Thesis]. University of Cape Town ,Faculty of Commerce ,School of Economics, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11874en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titleAn ARDL modelling approach to international tourism demand in Tanzaniaen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMComen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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