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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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Prediction of Thailand Tourism Driven in 2035 in Regional Competitiveness

Authors: Sirivadhanawaravachara, Aphisavadh;

Prediction of Thailand Tourism Driven in 2035 in Regional Competitiveness

Abstract

This research looks at how competitive Thailand's tourism might be in 2035. It checks out things that push growth, like the economy, culture, the environment, and new tech. Thailand's tourism has grown a lot and helped the country's money situation, so the government has put a lot of money into making things better for tourists to stay in the game. But, as more tourists come, things such as money problems, world changes, and health scares could make it hard to keep growing. This study uses special math to guess how many tourists will come by 2035, guessing around 43.8 million. It also sees how different areas are doing by looking at things like airports, roads, cultural events, and how green they are. The results show that what the government does, new tech, and being eco-friendly are important for Thailand to stay ahead in world tourism. By knowing what makes a place competitive, this research gives a way to plan and make smart choices for Thailand's tourism in the long run, making sure it keeps growing while avoiding possible problems.

Related Organizations
Keywords

Technological Advancements, ARFIMA-FIGARCH, Tourism Competitiveness, Government Policy, Cultural Exchange, Thailand, Regional Competitiveness, Sustainable Tourism, Forecasting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold