Abstract

Clustering of regional tourism service markets of Ukraine is performed according to the indicators of functioning of subjects of tourism activity (number of subjects of tourism activity; number of stuff members of tourist activities; income from tourism; number of tourists served by tour operators and travel agents; cost of travel packages sold). The clustering was performed in the software STATISTICA 10, the Ward method was chosen as the clustering algorithm, and the Euclidean distance was chosen as a measure of distance. The calculations made it possible to distinguish 6 clusters of regional tourism servicemarkets of Ukraine, which are formed at a threshold distance of 0.5, namely: cluster 1 is Kyiv city, cluster 2 is Zaporizhia, Kyiv, Poltava, Ivano-Frankivsk regions, cluster 3 is Dnipropetrovsk , Lviv regions, cluster 4 is Odessa, Kharkiv regions, cluster 5 is formed from Zhytomyr, Ternopil, Chernihiv, Kirovograd and Luhansk regions, cluster 6 unites Vinnytsia, Chernivtsi, Donetsk, Cherkasy, Transcarpathian, Rivne, Khmelnytsky, Volyn, Sumy, Kherson and Mykolaiv regions. The clusters on the vertical dendogram of hierarchical clustering are visualized, the spatial distribution of clusters of regional markets of tourist services is shown on the map of Ukraine. It is established that the high degree of regional differentiation of tourist service markets in Ukraine is caused by differences in the distribution of natural resources, climatic features of the regions, cultural and historical conditionality, and uneven placement of transport, communication, resort and entertainment infrastructures, asymmetrical distribution of recreational resources. It is suggested to take into account the restrictions of development of regional tourism service markets of Ukraine (clusters of regional tourism service markets) in terms of spatial polarization, to distribute them into internal (historically-formed basic and innovative determinants) and external ones.

Highlights

  • The high degree of regional differentiation of the tourist service markets in Ukraine makes the usage of unified approaches to the tourism development management and regulation ineffective

  • The achieved strategic goals of the state policy in the field of tourism, coherences and satisfaction of interests of the tourism activity subjects and the state is possible through the development and implementation of optimal specific models of regional support to the development of business processes in the tourism industry

  • The use of cluster analysis and clustering methods has become widespread in the tourism industry, both in the works of domestic scientists and foreign researchers

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Summary

Introduction

The high degree of regional differentiation of the tourist service markets in Ukraine makes the usage of unified approaches to the tourism development management and regulation ineffective.

Results
Conclusion
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