Integral Assessment and Spatial Clustering of Regional Tourism Potential in Uzbekistan: A Meso-Level Composite-Index Approach

Authors

  • B. Sobirov “Silk Road” International University of Tourism and Cultural Heritage, Uzbekistan

DOI:

https://doi.org/10.51699/cajitmf.v5i8.1325

Keywords:

Regional Tourism, Composite Index, Spatial Clustering, Tourism Potential, Meso-Level Analysis, Uzbekistan

Abstract

Aggregate national tourism statistics conceal pronounced sub-national heterogeneity that conditions the efficiency of place-based tourism policy. This study develops and applies a meso-level Integral Tourism Potential Index (ITPI) to thirteen administrative regions of Uzbekistan, aggregating expert-rated attractiveness scores across seven tourism-product types, and validates it against realized inbound orientation. Regions are ranked and partitioned by tercile thresholds into high-potential, medium-potential and emerging tiers, and positioned within a two-dimensional potential-attractiveness space. Samarkand (4.41) leads the ranking, followed by a diversified high-potential tier comprising Tashkent region, Kashkadarya, Fergana and Surkhandarya. Notably, the heritage-specialized regions of Bukhara and Khorezm occupy the medium tier despite dominating the historical-cultural and pilgrimage dimensions, because a breadth-based index penalizes narrow product specialization. The decomposition demonstrates that regional potential is product-specific rather than uniform: agro, ethnographic and recreational strengths are spatially complementary to heritage assets. The findings provide an empirical basis for differentiated, cluster-specific regional tourism strategies.

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Published

2024-12-30

How to Cite

B. Sobirov. (2024). Integral Assessment and Spatial Clustering of Regional Tourism Potential in Uzbekistan: A Meso-Level Composite-Index Approach. Central Asian Journal of Innovations on Tourism Management and Finance, 5(8), 762–769. https://doi.org/10.51699/cajitmf.v5i8.1325

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