Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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What makes Ultra-low-price tour agencies survive in China tourism market?

Authors
Zhou Wang1, Ying Wang1, *
1Department of Tourism Management, Leshan Normal University, Leshan, China
*Corresponding author. Email: 95749962@qq.com
Corresponding Author
Ying Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_74How to use a DOI?
Keywords
Ultral-low-price tour; Evolutionary game theory; Hotelling model; Mental accounting; Tourism market
Abstract

Economic relationships between business units based on geographi Ultra-low-price tour (ULPT) is a trap that some travel agencies use to attract cost-sensitive travelers by offering an extremely low price and making them spend much more money during the trip. Government has taken measures to decrease the number of ULPT agencies, but did not succeed in eliminating them. Why is there still some ULPT agencies and why do tourists participate in those tour? This article offers an explanation from the dual perspective of both economics and psychology. By using the application of serval models, it shows how ULPT agencies can survive by using low price. And the theory of Mental Accounting helps to explain why customers are likely to be attracted by ULPT agencies. Lastly, the article provides suggestions on how to reduce the negative impact and loss brought by ULPT agencies.

Copyright
© 2023 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 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_74
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_74How to use a DOI?
Copyright
© 2023 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  - Zhou Wang
AU  - Ying Wang
PY  - 2022
DA  - 2022/12/29
TI  - What makes Ultra-low-price tour agencies survive in China tourism market?
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 727
EP  - 735
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_74
DO  - 10.2991/978-94-6463-102-9_74
ID  - Wang2022
ER  -