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A quantile regression analysis of tourism market growth effect on the hotel industry. | LitMetric

A quantile regression analysis of tourism market growth effect on the hotel industry.

Int J Hosp Manag

School of Hospitality Business Management, Carson College of Business, Washington State University, Todd Hall, Pullman, WA 99164-4742, USA.

Published: January 2016

This study used the quantile regression method to investigate how inbound tourism market growth proxied by the growth rate of total foreign tourist arrivals (GTA) affects the growth rate of sales (GS) and financial performance of hotel firms in Taiwan. The ordinary least squares estimation results of panel regression test revealed that GTA significantly affects GS, but has no significant effect on financial performance (proxied by hotel equity return). However, quantile regression tests revealed new and interesting results. GTA has a significant effect on GS at the different quantiles of GS. In comparison, although hotel equity return was not significantly related to GTA at the median and high quantiles, the effect of GTA on hotel equity return was statistically significant at the low quantiles. These results suggest that the effect of GTA on hotel equity return is asymmetric and state-dependent, conditional on the distributions of hotel equity return. The study further identified that GTA has a significant influence only on equity returns of hotels with a small size.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116976PMC
http://dx.doi.org/10.1016/j.ijhm.2015.10.001DOI Listing

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