Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

Cluster Analysis of Inbound Tourist Source Market in Guangdong Province

Authors
Tong YU
Corresponding Author
Tong YU
Available Online January 2017.
DOI
10.2991/icefs-17.2017.38How to use a DOI?
Keywords
Guangdong Province, inbound tourism, market, SPSS, cluster analysis
Abstract

According to the data of inbound tourism in Guangdong Province from 2006 to 2015, the author analyzes the development situation and composition of inbound tourism in Guangdong Provinceby Excel software, and the author conducts cluster analysis of inbound tourism market of Guangdong Province by SPSS23.0 software. The results show that the inbound tourism has strong development momentum, and the inbound tourism market has showed diversified characteristics. According to the results of the cluster analysis, the inbound tourism market of Guangdong Province is divided into four categories. Based on the analysis and evaluation, it is proposed to develop the Asian market stably, develop the Western European and North American markets energetically and explore the Russian market actively.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
10.2991/icefs-17.2017.38
ISSN
2352-5428
DOI
10.2991/icefs-17.2017.38How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Tong YU
PY  - 2017/01
DA  - 2017/01
TI  - Cluster Analysis of Inbound Tourist Source Market in Guangdong Province
BT  - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 313
EP  - 318
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.38
DO  - 10.2991/icefs-17.2017.38
ID  - YU2017/01
ER  -