scholarly journals Are we explaining the movement of hotel room rates correctly?

Tourism ◽  
2020 ◽  
Vol 68 (1) ◽  
pp. 21-33
Author(s):  
Chew Ging Lee

Demand function, inverse demand function or market equilibrium condition has been used to estimate the empirical models that explain the movement of hotel room rates. However, hotels generally face excess supply of rooms. This research paper develops a simple theoretical model to link hotel room rates to excess supply of hotel rooms. The annual data of Singapore from 1991 to 2017 is used to test this framework. Due to small sample size, with only 27 observations, the bounds testing approach to cointegration is applied on the annual data of hotel industry in Singapore because the obtained estimators are super-consistent. It is found that average hotel room rate and average hotel occupancy rate are cointegrated to confirm hotel room rates and excess supply of hotel rooms are inversely correlated. In order to avoid model mis-specification, major crises are captured by dummy variables which are treated as fixed regressors in the bounds testing approach to cointegration. The empirical and theoretical frameworks used in this study suggest that when hotel occupancy rate is used as an independent variable in modelling the determination of hotel room rates, a researcher is adopting excess supply framework developed in this paper. Furthermore, this framework teaches students in tourism a simplified way to explain the movement of hotel room rates, while still reminding students about the complexity of hotel industry.

2019 ◽  
Vol 13 (2) ◽  
pp. 339-352 ◽  
Author(s):  
Partha Gangopadhyay ◽  
Siddharth Jain

Purpose This paper aims to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests from the following four major domains: economic, human security and vulnerability of people, aggressiveness or militancy of the armed forces and global and regional climates. Design/methodology/approach Autoregressive distributed lag (ARDL) bounds testing approach has been applied on annual data from 1960-2017, to deal with the problems of autocorrelation and non-stationarity of key variables. Findings First, an increase in crop yield, cereal productivity, food productivity and per capita availability of arable land unequivocally and significantly lower the severity of conflict in Myanmar in the long run. Second, the authors uncover strong evidence that the intensity of conflicts bears a positive relationship with the vulnerability of the people of Myanmar. Third, the authors detect that both regional and global climate variables have limited and rather inconsistent impacts on subnational conflicts in Myanmar. Finally, the authors find that the aggressiveness (militancy index) of the armed forces has significant impacts upon subnational conflicts and economic variables of Myanmar in the long run. Originality/value This paper is completely data-driven and explains the long-term dynamics of the intensity of the civil war in Myanmar. ARDL bounds testing approach has been used to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests. It is a novel approach, which overcomes the problems of autocorrelation and nonstationarity and offers reliable results.


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