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Title: Statistical analysis for tourism in Greece (period: 2006-2015)
Authors: Ntaliakouras, Nikolaos
Advisor: Ntzoufras, Ioannis
Keywords: tourism;τουρισμός;tourist arrivals per continent of origin;αφίξεις ανά εθνικότητα;tourist arrivals per transportation mode;αφίξεις ανα ΜΜΜ;forecasts;προβλέψεις;regression analysis;παλινδρόμιση
Issue Date: 9-Sep-2018
Abstract: Tourism in recent years improved the Greek economy and functioned as a powerhouse to reduce unemployment. Moreover, the tourism sector is one of the few areas that draws the interest of investors, and as a result, it could function as a critical driver of growth in Greece. Tourism is critical for national income for most country’s regions, especially because of the dispersion of tourist destinations across Greece. On the other hand, tourism is intensely seasonal because Sun & Sea holidays, which make up the most extensive European product market, are also the main tourism product of Greece. More specifically, tourism directly contributed to generating 10.0% of the country's GDP corroborating the belief that it is the country's "heavy industry". The increase in revenues that come from foreign countries is 5.2% or €680 million which shows that tourism is the Greek’s economy primary driver. Also, from each €1.0 of tourism revenue, another €1.20 to €1.65 of additional economic activity was generated and travel receipts covered 82.0% of the balance of trade deficit. In this manuscript, we performed a statistical analysis using economic factors, of the the tourism data of Greece for the period 2006-2015. After the reference to the characteristics of the phenomenon of tourism, the tourist demand is explained in correlation with Greek economy’s specific factors. Starting with the presentation of the tourism data internationally, we concentrate on Greece with a statistical analysis of specific data and factors. A time series analysis follows about the international arrivals in Greece for each quarter of the year. Then, a forecast is made for the next five years. The model used is the simple linear trend model. Finally, a regression analysis takes place to estimate the correlation between overnight stays by residents and employment in Greece and between overnight stays by residents, gross domestic product, and net national disposable income.
Rights Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Appears in Collections:MBA Διπλωματικές Εργασίες

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