Factors influencing Taiwanese demand to travel abroad
Autor: | Lin LiFeng |
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Rok vydání: | 2019 |
Předmět: |
information searching behavior
economic factors lcsh:TX901-946.5 media_common.quotation_subject 05 social sciences google search index Econometric model Demand curve Tourism Leisure and Hospitality Management 0502 economics and business 050211 marketing Consumer price index Quality (business) panel data model Business lcsh:Hospitality industry. Hotels clubs restaurants etc. Food service Marketing tourism demand Proxy (statistics) 050212 sport leisure & tourism Consumer behaviour Tourism Google search index economic actors media_common Panel data |
Zdroj: | Tourism and Hospitality Management, Vol 25, Iss 2, Pp 291-310 (2019) Tourism and hospitality management Volume 25 Issue 2 |
ISSN: | 1847-3377 1330-7533 |
DOI: | 10.20867/thm.25.2.3 |
Popis: | Purpose – The present study analyzes how economic factors and online searching behavior influence the demand for international tourism and how to improve the relevance and prognostics between the active searching behavior and the tourism industry. Design – The study includes a tourist demand function, an econometric model, and a statistical inference, using panel data from 13 countries over a 108-month period. Methodology – This study uses a panel data model to analyze how economics and online searching behavior influence Taiwanese tourists who travel overseas. Approach – The study adopts a statistical test and inference based on the panel data model. Findings – The study’s results reveal that the effects of the consumer price index in the destination country, the Google search index for travel web pages, and the difference in the consumer price index in Taiwan are statistically significant and positively related to the number of Taiwanese overseas tourists. On the other hand, the Google search index for travel news has a negative statistical significance. Furthermore, the Google search index is statistically and significantly affected by economic variables. Originality of the research – This study adopts online searching behavior as a proxy variable to evaluate the intention to consume. In addition to economic factors, by promptly and effortlessly obtaining users’ search trends and intentions, this study then correctly predicts tourists’ demands, determines the best travel itinerary for tourists, and strengthens the quality of tourism services. |
Databáze: | OpenAIRE |
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