Study on the Influencing Factors of Yichun Tourism Competitiveness by the Principal Component Analysis

DOI

10.2991/assehr.k.201214.562How to use a DOI?

Keywords

Yichun, Principal component analysis, Tourism competitiveness, Influencing factors

Abstract

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.

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/).

Download article (PDF)

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  - 10.2991/assehr.k.201214.562
ID  - Sun2020
ER  -