Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)

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Research on Tourism Image Perception of the Beibu Gulf Urban Agglomeration in China

Authors
Xiaoxia Zeng1, Tiancheng Li2, Dandan Lu1, *, Lei Huang3
1College of Business Administration, Guangxi University of Finance and Economics, Nanning, 530003, China
2College of Medical Technology, Wuzhou Medical College, Wuzhou, 543199, China
3School of Economics and Management, Guangxi Universsity of Science and Technology, Liuzhou, 545006, China
*Corresponding author. Email: ludandan@gxufe.edu.cn
Corresponding Author
Dandan Lu
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-636-9_10How to use a DOI?
Keywords
Tourism Image Perception; Text Mining; Travel Destination; The Beibu Gulf Urban Agglomeration
Abstract

In the digital economy era, more opportunities and challenges for the sustainable tourism have been recognized by major economics. As the core of regional economic integration, improving tourism image for the urban agglomerations has been considered as a critical thrust in driving regional tourism economy. The studies of tourism image are of the great significance for guiding corresponding construction practices. Trying to bridge the theoretical discussion and regional policy practice, our research is hereby taking the Beibu Gulf urban as a travel destination for a comprehensive tourism image perception analysis. The network analysis and the text mining devices are combined to analyze the tourism image perception characteristics of the selected urban agglomeration. The result reveals that the cognitive tourism image perceptions of the Beibu Gulf urban agglomeration can be divided into multiple dimensions. The coastal tourism resources are the most distinctive in the urban agglomeration. We hereby suggest the policymakers should take the result into account in practice for promoting the high-quality tourism development.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2024
ISBN
978-94-6463-636-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-636-9_10How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoxia Zeng
AU  - Tiancheng Li
AU  - Dandan Lu
AU  - Lei Huang
PY  - 2024
DA  - 2024/12/31
TI  - Research on Tourism Image Perception of the Beibu Gulf Urban Agglomeration in China
BT  - Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
PB  - Atlantis Press
SP  - 98
EP  - 107
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-636-9_10
DO  - 10.2991/978-94-6463-636-9_10
ID  - Zeng2024
ER  -