<p>Depopulated areas in Spain can harness international tourism as a crucial means of economic revitalization. This approach can help stabilize their populations and improve their economic attractiveness beyond the primary and secondary sectors. This paper focuses on the situation in Castilla-La Mancha, Spain, utilizing data from 2224 surveys collected in the Tourist Expenditure Survey by the National Institute of Statistics between January 2016 and October 2023. A Latent Class Model with covariates has been applied to this data, allowing for segmentation based on factors such as the primary motivation for the visit, type of accommodation, and activities undertaken during the visit. Daily expenditure and length of stay are used as covariates to analyze how these factors influence membership in different rate classes. The study reveals that the area currently lacks significant appeal to international tourists traditionally interested in cultural resources but in this research demonstrates that family and other motivations are more important than cultural attraction. It highlights that while tourism in Toledo and business tourism offer attractive opportunities to increase spending and extend visitors’ stays, they represent only 27.1% of international travellers and are overshadowed by tourism driven by visits to family and friends, who dominate the market but have no economic appeal. Overall, the findings suggest that segmenting international tourists and understanding their impact on spending and length of stay can inform strategies to promote the cultural and environmental treasures of depopulated areas, with a focus on attracting the desired type of international tourist.</p>

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A Spanish regional perspective of influence of spending and length of stay effect on market segmentation in international inbound tourism: the case of low-density territories

  • Ignacio Ruiz Guerra,
  • Jesús Barreal Pernas,
  • Juan A. Parrilla González

摘要

Depopulated areas in Spain can harness international tourism as a crucial means of economic revitalization. This approach can help stabilize their populations and improve their economic attractiveness beyond the primary and secondary sectors. This paper focuses on the situation in Castilla-La Mancha, Spain, utilizing data from 2224 surveys collected in the Tourist Expenditure Survey by the National Institute of Statistics between January 2016 and October 2023. A Latent Class Model with covariates has been applied to this data, allowing for segmentation based on factors such as the primary motivation for the visit, type of accommodation, and activities undertaken during the visit. Daily expenditure and length of stay are used as covariates to analyze how these factors influence membership in different rate classes. The study reveals that the area currently lacks significant appeal to international tourists traditionally interested in cultural resources but in this research demonstrates that family and other motivations are more important than cultural attraction. It highlights that while tourism in Toledo and business tourism offer attractive opportunities to increase spending and extend visitors’ stays, they represent only 27.1% of international travellers and are overshadowed by tourism driven by visits to family and friends, who dominate the market but have no economic appeal. Overall, the findings suggest that segmenting international tourists and understanding their impact on spending and length of stay can inform strategies to promote the cultural and environmental treasures of depopulated areas, with a focus on attracting the desired type of international tourist.