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

Xiaoxia Zeng (), Tiancheng Li (), Dandan Lu () and Lei Huang ()
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Xiaoxia Zeng: Guangxi University of Finance and Economics, College of Business Administration
Tiancheng Li: Wuzhou Medical College, College of Medical Technology
Dandan Lu: Guangxi University of Finance and Economics, College of Business Administration
Lei Huang: Guangxi Universsity of Science and Technology, School of Economics and Management

A chapter in Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024), 2024, pp 98-107 from Springer

Abstract: 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.

Keywords: Tourism Image Perception; Text Mining; Travel Destination; The Beibu Gulf Urban Agglomeration (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-636-9_10

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