Clustering and hotel room prices in Dubai

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Abstract

In this article, we study the influence of the room properties, hotel amenities, hotel location, and, more importantly, the characteristics of hotels in the surrounding area on the prices of hotel rooms. The effects of different determinants are estimated using the hedonic price model for a cross-section of 250 hotels in Dubai. In addition to the typical characteristics of hotels and hotel rooms such as hotel amenities, star rating, and room size, we include location-specific characteristics such as accessibility to public transportation, airport, and, more importantly, clustering variables to capture the effects of local competition and spillovers from surrounding hotels. Our results indicate significant and strong effects of accessibility to attractions, transportation, hotel’s star rating, and room size, as expected. Our estimations also indicate that local competition reduces the room price, and local quality spillover increases the room price, and both effects are predominantly limited to the hotel’s immediate surroundings. Our estimations indicate that having one more hotel in the immediate surroundings decreases the room price by about one percent, and an increase in the average quality of the hotels in the immediate surroundings by one star rating increases the room price by more than 20%.

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APA

Arzaghi, M., Genc, I. H., & Naik, S. (2023). Clustering and hotel room prices in Dubai. Tourism Economics, 29(1), 116–136. https://doi.org/10.1177/13548166211040931

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