Abstract The present research addresses the analysis of tourism destination competitiveness (TDC) at national level in a 11-year period. A partial least square path model (PLS-PM) is developed where TDC and its determinants vary through time according to a second-degree polynomial trend, while their relationships remain constant, thus allowing to draw conclusions on their long-term association. Results show that the most important TDC determinants are cultural heritage, communication technology and tourism infrastructure.
The determinants of tourism destination competitiveness in 2006–2016: A partial least square path modelling approach / Magrini, Alessandro; Grassini, Laura. - ELETTRONICO. - (2018), pp. 1545-1550. (Intervento presentato al convegno 49th scientific meeting of the Italian Statistical Society (SIS 2018)).
The determinants of tourism destination competitiveness in 2006–2016: A partial least square path modelling approach
Magrini, Alessandro
;Grassini, Laura
2018
Abstract
Abstract The present research addresses the analysis of tourism destination competitiveness (TDC) at national level in a 11-year period. A partial least square path model (PLS-PM) is developed where TDC and its determinants vary through time according to a second-degree polynomial trend, while their relationships remain constant, thus allowing to draw conclusions on their long-term association. Results show that the most important TDC determinants are cultural heritage, communication technology and tourism infrastructure.File | Dimensione | Formato | |
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