Study on the Influencing Factors of Yichun Tourism Competitiveness by the Principal Component Analysis
- https://doi.org/10.2991/assehr.k.201214.562How to use a DOI?
- Yichun, Principal component analysis, Tourism competitiveness, Influencing factors
Principal component analysis was used to research the main influencing factors of tourism competitiveness of Yichun. Results showed that the main factors affecting the tourism competitiveness of Yichun are as follows: (1) the number of overseas tourists (the loading in the eigenvector variables T1 is highest, with 0.275); (2) the number of employees in accommodation and catering industry above designated scale at the end of the period (the loading in T2 is highest, with 0.353); (3) sunny days in a year (the loading in T3 is highest, with 0.480); and (4) passenger turnover (the loading in the eigenvector variables T4 is highest, with 0.529). To promote the development of Yichun’s tourism and its competitiveness, we recommended some suggestions on the aspects of promoting international reputation of tourism and upgrading tourism service, optimizing ecological environment, and perfecting the transportation infrastructure, etc.
- © 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/).
Cite this article
TY - CONF AU - Yuling Sun AU - Junsong Jia AU - Xiaoying Xiong AU - Jiehong Chen AU - Zhongyu Gu PY - 2020 DA - 2020/12/16 TI - Study on the Influencing Factors of Yichun Tourism Competitiveness by the Principal Component Analysis BT - Proceedings of the 2020 3rd International Conference on Humanities Education and Social Sciences (ICHESS 2020) PB - Atlantis Press SP - 551 EP - 554 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201214.562 DO - https://doi.org/10.2991/assehr.k.201214.562 ID - Sun2020 ER -