Interpretation and Identification of Tourism Sector Clustering

DOI

10.2991/aebmr.k.200312.246How to use a DOI?

Abstract

The question of identifying the clustering of the tourist sector due to its positive impact on the economic development of Russia was considered. The author’s methodological approach to the assessment of identification based on the integral method was presented. This approach includes six groups of indicators: assessments of natural and resource potential of a recreational area, localization, specialization, per head production, heterogeneity, and the competitiveness of the tourist sector in the region. Each group of the indicators includes single indicators; it should be noted that for the assessment of the natural and resource potential of a recreational area expert method is used with follow-on use of integral method to determine the resulting indicator. For the remaining groups of indicators, only the integral method is used. For the final conclusions on the identification of clustering of the tourist sector, the authors developed a scale with interval estimates and a presentation of the characteristics of each of them. Approbation of the author’s methodological approach was carried out using the example of the tourist sector of the Republic of Crimea with a test of objectivity by the Pearson criterion. The results indicate that there are good opportunities for the creation and development of tourist clusters in the regions of Crimea: south-coastal, south-western and southeast regions have a high level of clustering of the tourist sector; western and eastern regions have a good level, and central region has an average level.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - A I Pashentsev
AU  - A A Garmider
PY  - 2020
DA  - 2020/03/17
TI  - Interpretation and Identification of Tourism Sector Clustering
BT  - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 1780
EP  - 1786
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.246
DO  - 10.2991/aebmr.k.200312.246
ID  - Pashentsev2020
ER  -