This research explores the primary factors that influence the competitiveness of local tourism using a comprehensive mixed-methods approach. Grounded in competitiveness theories relevant to both domestic and international tourism, the study initially proposed 14 components. These were later tested, refined, and integrated into a final model comprising 12 core factors and 32 sub-elements. Analytical methods included Cronbach’s Alpha, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), conducted through SPSS and AMOS software. The findings reveal that local tourism competitiveness results from the interplay of various interconnected elements. Among these, Tourism Resources (52%), Tourism Support (26%), and Tourism Awareness (22%) were identified as the most influential contributors. These components serve as critical intermediaries in enhancing regional tourism performance. The study not only deepens theoretical understanding but also provides practical implications for policymakers, tourism planners, and academics aiming to strengthen local tourism sectors effectively and sustainably.
