Research Note: Using Demand Determinants to Anticipate Fluctuations in Hotel Occupancy

Mei Candy Fung, Mei Tang Fung, Nada Kulendran, Brian King and Matthew H.T. Yap
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Nada Kulendran: College of Business, Victoria University, Melbourne, Australia
Brian King: School of Hotel and Tourism Management, Hong Kong Polytechnic University, Hong Kong
Matthew H.T. Yap: Faculty of Business and Administration, University of Macau, Macau, China

Tourism Economics, 2016, vol. 22, issue 1, 179-187

Abstract: A logistic regression model is used to identify the determinants that influence periods of expanding and contracting occupancy growth rates for various hotel categories in Hong Kong. Tourist incomes are found to impact in different ways, depending on the category of hotel. The cycles of income growth in tourist origin countries have a greater impact on high tariff B and medium tariff hotels than on more expensive high tariff A hotels. In examining the applicability of real and nominal exchange rates to tourist hotel selections, it is found that nominal exchange rates are significant only in the case of high tariff A hotels, with a marginal probability of 0.76%. This implies that a 1% exchange rate appreciation in the tourist origin country will increase the expansion period by 0.76% in the case of high tariff A hotels.

Keywords: hotel demand determinants; hotel occupancy rates; turning points; logistic regression; Hong Kong (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:22:y:2016:i:1:p:179-187

DOI: 10.5367/te.2014.0421

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