Modelling growth and revenue for Swedish hotel establishments

This paper provides first estimates of the determinants of output growth of Swedish hotels based on establishment data. Growth of overnight stays is modelled as a function of initial size, age, type of accommodation, location and hotel prices measured as average revenues per guest nights. The empirical model accounts for potential endogeneity of hotel prices through the two-stage least absolute deviation model (2SLAD) and the instrumental variable quantile regression method. 2SLAD estimates show a positive and significant relationship between hotel prices and subsequent growth. The relationship is nonlinear with a decreasing impact as the price level increases. Growth of establishments is significantly higher for smaller and younger hotels. An important result is that city hotels, in comparison to tourist and other hotels – which are mainly located outside urban areas (in the mountains and at the sea) – exhibit significantly higher growth rates with a gap between 2.2 and 3.4 percentage points. Furthermore, the positive impact of hotel prices on growth is larger for high-growth establishments. Accommodation prices significantly decrease with the number of local competitors with a non-linear form and increase with size. City hotels and accommodation in the capital city have the highest revenues per guest night.     

The price competitive position of Mediterranean countries in tourism: Evidence from the Thomson brochure

Tourism in the Mediterranean region is highly dependent on the few, large, mass market tour operators situated in the North European tourist originating countries. Price competition is intense both between the tour operators and between the Mediterranean countries themselves. This paper uses the hotel package prices listed in the Thomson summer and winter brochures to develop relative price indexes of each Mediterranean country with respect to the Mediterranean average. Indexes are developed in the 3 star, 4 star, 5 star, 7 nights and 14 nights, half-board holiday packages. The prices in the Thomson brochure can be regarded as a unified, internally consistent, set of price data, compiled by the largest UK tour operator and offered to UK tourists desiring a Thomson summer holiday. The change through time of the competitive relative price ranking of hotels, regions and countries listed in the Thomson brochure, may be regarded as an important competitive indicator by industry operators and national policy makers concerned about tourism development.     

The effects of beach characteristics and location with respect to hotel prices

This paper measures the effects of beach characteristics and hotel location with respect to the beach on sun-and-beach hotel prices by using a well-established hedonic perspective. The paper’s main results are that, after controlling for the relevant variables, location in front of a beach increases the price of a room in costal hotels of Catalonia by a figure between 13 and 17%, and that a Blue Flag increases the price by around 11.5%. The effects on hotels’ prices of other beach characteristics (such as beach length, width, sand type or beach services) are also estimated. With these estimates, the paper ranks beaches according to their characteristics and provides a setting to assess different policies regarding beaches from the point of view of hotels, such as regeneration, maintenance or achieving a Blue Flag award.     

A stochastic cost efficiency analysis of international tourist hotels in Taiwan

The one-stage stochastic frontier approach (SFA) is used in this study to simultaneously estimate cost efficiency scores and factors of cost inefficiency for 66 international tourist hotels in Taiwan during 1997–2006. An SFA model with three outputs and three inputs is defined. The three outputs are room revenue, food and beverage revenue, and other operation revenue while the three inputs are price of labor, price of other operation, and price of food and beverage. This model also takes into account five environmental variables, including dummy variable of the hotels located in non-metropolitan area, dummy variable of chain hotels, the number of tourist guides, the minimum distance from each hotel to Taoyuan international airport and the minimum distance from each hotel to Kaohsiung international airport. Empirical results show that international tourist hotels in Taiwan are on average operating at 91.15% cost efficiency. All nominal variables are transformed into real variables in 1997 prices by GDP deflators. Chain systems, tourist guides, and international transportation can significantly improve the cost efficiency of international tourist hotels in Taiwan.     

Pricing determinants in the hotel industry: Quantile regression analysis

Due to the skewed distribution of hotel prices, quantile regression provides a more flexible and complete characterization of the determinants of the hotel prices at the higher and lower tail of the distribution. This study applies quantile regression approach to investigate the major determinants of hotel room pricing strategies. The ordinary least square regression is also used for comparative purposes. The data are drawn from 58 international tourist hotels in Taiwan and average room rate (ARR) is used as the proxy of hotel room price. The results of OLS and quantile regression share common characteristics but also have differences in some aspects. The OLS results reveal that number of rooms, hotel age, market conditions and number of housekeeping staff per room are the main attributes of hotel room rate. The quantile regression results further demonstrate that room number and the number of housekeeping staff per guest room do not significantly influence hotel price at the low price quantile. Hotel age and market conditions are only significant determinants in high-price category. Additionally, for the high-priced quantile hotels, the proportion of foreign individual travellers positively and significantly influences room price. The empirical results can help hoteliers in shaping investment and pricing strategies.     

Are innovations relevant for consumers in the hospitality industry? A hedonic approach for Cuban hotels

This paper evaluates the impact of innovative activity in the hotel industry on the willingness to pay by consumers. To this end, we estimate a hedonic price function where innovation is identified indirectly through certain attributes that previous literature has linked with hotel innovativeness. The test is performed on a representative sample of Cuban hotels, considering a large number of attributes of hotels and rooms. To solve the usual problems of collinearity, a million alternative models are estimated by choosing the variables included in a random manner and obtaining the final coefficients by means of an internal meta-analysis. The results are completed with a variance decomposition analysis. The results highlight the importance of the attributes linked to innovation and internationalization on the determination of room prices in Cuban hotels: membership of international hotel chains, high quality offers, diversified rooms, and adaptability to specific needs of each client.     

The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition

The reference price, used by consumers to evaluate market prices, has tremendous relevance in dynamic pricing. Reconciling current heterogeneous theories and studies on reference prices, this paper analyzes the impact of hotel price sequences on consumers’ reference prices through a lab and a field experiment. Experiment 1 tests the importance of retrospective price evaluations, while Experiment 2 evaluates the impact of three forms of competition: (i) simultaneous behavior, where firms adjust prices simultaneously; (ii) leader–follower behavior, where one firm acts as the leader; and (iii) independent behavior, where each player takes its rival's strategy as given and seeks to maximize its own profits. The results show that consumers decrease their reference price when competing hotels adjust their prices simultaneously. Relevant managerial implications are drawn for the hospitality industry, which is affected by the presence of online travel agencies that announce the daily rates offered by each competitor.     

A comparison of destinations’ impacts on hotel rates

The impact of destinations’ attributes on hotel rates in different locations has been insufficiently compared the existing literature. This study sought to apply the hedonic pricing method to measure and compare how room prices are affected by factors that are both external and inherent to hotel companies. After collecting nearly all the data regarding hotel features that consumers can use to make choices about accommodations on the TripAdvisor website, different models were developed for each city and season. The results suggest that hotels in Barcelona are more dependent on external conditions than hotels in Madrid are. In addition, hotels in both cities are more affected by external conditions during the high season. This paper discusses these and other results, as well as their implications.     

To Ban or not to ban rate parity,that is the question… or not?

Considering the heated debate in the hotel industry about the rate parity clause and the appropriateness of its ban to give rise to rate disparity, this article analyzes the hotel performance that has resulted from the rate parity prohibition established in some European countries, by looking into the market value of the hotels involved. The empirical analysis conducted on a sample of hotel companies trading on the stock exchange in Germany and France shows that the approval of the rate parity ban generates positive abnormal returns. However, an increase in risk is detected. It seems that, while the prospects of greater autonomy to set prices in the hotel industry and stronger competition in the online distribution industry are looked at positively, the hotels will have to deal with a customer’s potential higher perception of price unfairness, less control over its own brand and a greater likelihood of price wars.     

Taxing international tourism in West Africa

West Africa mass tourism focuses on Scandinavian, European, and United States tourists taking beach holidays during the winter months. Beach resort hotels seeking to attract international tourists are in a monopolistically competitive market structure. Localities, rather unsuccessfully, attempt to differentiate the sun/fun package which they offer from those of their competitors. Prices are locked into a small price range. In West Africa a general export tax rate of 10 to 15 percent of total tourist expenditures is incorporated in the industry's cost structure. The impact of adding two types of resort hotel taxes is considered: land taxes (lump sum) and bednight taxes (unit). An increase in hotel land taxes will not change the price or bednights offered by hotels. They will continue to operate at their initial output and price position. Whereas, added bednight taxes are an addition to unit cost and, therefore, will effect the output level and result in a new, slightly higher price and fewer hotel guests.     

An application of repeat sales regression to distressed lodging prices

This study investigates the price discounts in financially distressed hotels. Using a sample of 2564 pairs of hotel transactions from 2003 to early 2016, the study employs a repeat sales regression approach to estimate the magnitude of the sales discount in financially distressed hotels. The findings of this study reveal a distressed sale discount of 28%, foreclosure discount of 27%, and a real estate owned (REO) sale discount of 30%, all relative to non-distressed transaction prices. More importantly, these distressed sale discounts are greater than the discounts observed in the existing residential and commercial real estate literature. The distressed prices are consistent with the observation that hotels are risky investments and investors will demand greater discounts to compensate them for acquiring financially distressed hotels.     

Evidence of green signaling in green hotels

Green signaling posits that environment-friendly purchases signal consumers’ pro-sociality and willingness to pay more for societal/environmental well-being, enhancing their social status. Using three scenario-based quasi-experimental studies, we sought evidence of green signaling by guests in green hotels when status motive is activated, consumption condition is manipulated, and hotel price is varied. Results showed that, when status motive is activated, consumers signal the intent to purchase better-quality conventional hotels when green hotels are priced more or equal and when the consumption condition is private. In public consumption condition, when controlling for price, and in private consumption condition, when green hotels are priced lower, no significant difference was found between purchase intentions regarding conventional and green hotels. This represents slight, although inconclusive, evidence of green signaling. Industry practitioners in green hotels should lower prices and make the consumption process public by providing consumers with opportunities to engage more actively via social media.     

The impact of gasoline price fluctuations on lodging demand for US brand hotels

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literatures on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice.     

Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors

The purpose of the paper is to investigate the influence of market accessibility on hotel prices and how this influence is moderated by various quality-signaling factors, such as online user ratings, “thumbs up” (recommendation) percentage, hotel class, and chain affiliation. Using a randomized sample of hotels in the Caribbean islands, we employ a three-level mixed-effect linear regression model to investigate the plausible relationship between market accessibility and hotel prices. After controlling for unobserved island-level and hotel-level characteristics, the model indicates that in most periods, low market accessibility (high flight costs) leads to lower hotel prices, and this influence is mitigated by well-established positive reputations as represented by the quality-signaling factors. Our findings imply that hotels should work to increase their reputations to help buffer the impacts of inaccessibility. In an effort to increase market accessibility, one course of action is to reduce airport landing taxes and fees.     

The effects of Airbnb’s price positioning on hotel performance

This study examined the relationship between the price positioning of Airbnb listings, measured in price difference between a hotel property and the nearby Airbnb listings as well as price dispersion among these Airbnb listings, and the performance of nearby hotels. An exploratory analysis using field data points collected from the Airbnb listings and their hotel counterparts in the metropolitan area of Austin, Texas between Quarter 3, 2008 (debut of Airbnb in Austin) and Quarter 2, 2011 reveals intriguing findings. The entry of Airbnb listings was penetrative to local hotels. However, the price positioning of Airbnb, manifested in higher average price as compared to nearby hotels, as well as larger price dispersion among individual listings, significantly mitigated such penetration. Important theoretical contributions and practical implications for hotels are discussed.     

Modeling hotel room price with geographically weighted regression

Insufficient attention has been given to hotel-room-price attributions and its mechanism in the lodging research field till now. This article examines how site and situation factors differently affect lodging industry and room prices. Comparative analysis of four hedonic price models has been conducted to investigate how these attributions influence room price of Beijing's hotels above star three. Spatial autocorrelation in hotel prices and in hedonic room price equation residuals were analyzed in this research too. Some conclusions can be found and summarized: according to the estimated results, for specific locales, the results expressed in a global model might be inaccurate. The fitting coefficient of geographically weighted regression demonstrates the importance of going beyond the global modeling framework when incorporating geographically weighted regression into hedonic price model. At last, an innovative method for determining the influence of a hotel's attributes at market rates on its’ values, or implicit prices was put forward by the authors.     

The Response of Hotels to Increasing Food Costs due to Food Shortages

During 2008–2009 the hotel industry in Hong Kong had to respond to a steady price increase in general food items and in basic food commodities. As most hotels in Hong Kong predict their food cost budgets a year in advance, these sudden and unexpected increases in food commodities came at a time when there was a downturn in the global economy in the wake of the financial crisis and a worldwide influenza A (H1N1) epidemic. There have been articles published in hospitality and tourism journals that have discussed the issue of food cost and control in hotels resulting from poor storage and purchasing, portion control, and preparation and production methods. However, none of the previous studies has examined the sudden and rapid increases in the cost of foods and the impact that this has had on the hotel industry. The measures adopted by Hong Kong hotels of different tiers to control or reduce expected food costs are analyzed in this study. This study employed a cross-sectional exploratory design, encompassing in-depth personal interviews with food and beverage managers and executive chefs in high-, mid- and low-tier hotels in Hong Kong. Empirical findings revealed that mid- and low-tier hotels found the increases in commodity prices challenging and thus employed innovative methods to combat rising food costs. High-tier hotels were more concerned about satisfying customers' needs by maintaining high-quality food products and services. The findings indicate that hotels and restaurants at all points of the market adopted functional strategies to increase their efficiency and profitability. Based on the operating experience of existing hotels, this study demonstrates that enhancing the quality of suppliers' commodities, good staff communication and training practices, and innovative ideas can improve a hotel's financial situation.     

You’re the Only One,or Simply the Best. Hotels differentiation,competition, agglomeration,and pricing

Drawing on competition, signalling and agglomeration perspectives, we investigate how vertical and horizontal differentiation influence price, and how hotel competition and agglomeration may moderate any such effects. We argue that vertical differentiation should include online reputation to complement category, and that hotel clustering can provide benefits for incumbents. Hypotheses are tested using quantile regression on a sample of 1870 hotels. In order to account for any service dimensions, an index of differentiation is estimated. We found that local competition and agglomeration moderates the relationship between differentiation and pricing. Furthermore, online reputation effects are more intense for low priced hotels. Indeed, when competition is intense, the positive effect of horizontal differentiation is lower for low priced hotels. Similarly, hotel clustering reinforces the impact of category on price, but it reduces the benefits of offering more services.     

Algarve hotel price determinants: A hedonic pricing model

This study sought to assess customers' willingness to pay for a wide variety of characteristics and attributes of hotels in Portugal's Algarve region. After collecting nearly all the information available on TripAdvisor for hotels in this region, a hedonic pricing model was developed using a database of 9992 cases. The results suggest that – after standardisation – the most important variable shaping Algarve hotel room rates is the previous day's prices. When associated with a family-friendly hotel, star category and services have a greater value than beaches or golf courses do. Customers also appreciate some types of hotels, such as boutique, quaint or trendy hotels, but view others negatively, such as family-friendly or business hotels. Only the specific location of Falesia Beach adds value, although the Algarve is a desirable destination overall. Both destination and hotel managers can use the proposed method to analyse data for their region on customers' propensity to pay.     

The influence of national culture on the strategic use of salesperson pricing authority: A cross-country study within the hotel industry

At some hotel properties individual catering sales managers are empowered with the authority to make price adjustments, but at other properties they must ascertain the permission before adjusting prices. This research collected and analyzed data from 392 hotels in 28 countries and found that national culture has an influence on the price empowerment decision. Specifically, catering sales managers are more likely to be granted pricing authority in: (1) individualistic societies than in collective societies; (2) low power distance cultures than in high power distance cultures; and (3) low uncertainty avoidance societies than in high uncertainty avoidance societies.