Analýza turizmu s pomocou kvantitatívnych a ekonometrických metód

Abstract

Tourism is one of the key sectors of the European Union's economy, contributing 17.6% to GDP in 2023. This thesis analyzes tourism efficiency and its impact on GDP across thirteen EU countries from 2013 to 2023. The Data Envelopment Analysis (DEA) method with BCC models is used to assess efficiency, accounting for differences in country size and structure. A panel regression method is then applied to identify relationships between tourism's GDP share and selected independent variables, including DEA-derived efficiency metrics. Results show Finland, Croatia, Lithuania, and Luxembourg achieved the highest efficiency levels, while France, Greece, and Portugal consistently demonstrated lower efficiency. The panel regression confirms the statistical significance of tourist expenditures and accommodation capacity on GDP, though input-output efficiency showed no substantial impact. These findings highlight the need for strategic management and further research into linking tourism efficiency with economic outcomes. The thesis provides recommendations to improve efficiency in underperforming countries and emphasizes tourism's untapped potential for economic development.