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Identification of relationship between macroeconomic variables and tourist arrivals to sri lanka

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dc.contributor.advisor Peiris, TSG
dc.contributor.advisor Karunarathne, HD
dc.contributor.author Mudunkotuwa, RS
dc.date.accessioned 2018-01-11T22:01:36Z
dc.date.available 2018-01-11T22:01:36Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12989
dc.description.abstract The study investigates the macroeconomic factors which affect on tourist arrivals in Sri Lanka for the period 1990-2014, using annually series of the corresponding variables. To achieve the objectives both time series technique and econometrics techniques were used to analysis of data. The statistical techniques used include the unit root Augmented Dickey Fuller test in order to fulfill the objective of stationary for all the time series. The results from granger causality revealed that past behavior of gross domestic production, gross domestic per capita income, government expenditure on capital and net lending, imports of goods, exports of goods and foreign direct investment are significant factors which determine the present behavior of tourist arrivals. The regression analysis it showed that all macroeconomic variables are strongly linear associated with tourist arrivals. The VECM model has revealed that there exists long run relationship between tourist arrivals and those variables. While tourist arrivals have elastic behavior with respect to gross domestic production, per capita income, imports and tourist cost and inelastic demand with respect to exports, direct employment and inflation rate in the economy. The results derived in this study can be effectively used for implementation of new strategies to attract more tourists to Sri Lanka. en_US
dc.language.iso en en_US
dc.subject Granger Causality en_US
dc.subject Gross Domestic Production en_US
dc.subject Regression Analysis en_US
dc.subject Tourist Arrivals en_US
dc.subject VECM en_US
dc.title Identification of relationship between macroeconomic variables and tourist arrivals to sri lanka en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree Master of Science in Business Statistics en_US
dc.identifier.department Department of Mathamatics en_US
dc.date.accept 2016-03
dc.identifier.accno TH3321 en_US


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