2022
DOI: 10.1002/jtr.2510
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Keeping the competition close: The impact of competitor distance in the lodging industry

Abstract: This study applies a distance-based measurement outlining market boundaries for competition in the lodging industry and investigates the effects of competition across a range of distances. Predetermined administrative boundaries have been the conventional metric used when estimating competition effects in a given geographical area in the lodging industry. For this study, distances are calculated using the location information of 45,623 hotels in the United States extracted from the Smith Travel Research Hotel … Show more

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Cited by 4 publications
(11 citation statements)
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“…Following previous studies on confrontation agglomeration vs. competition that consider hotel price as the dependent variable (Becerra et al, 2013;Lee, 2015;Park et al, 2022;Zhang et al, 2011a), we accounted for the yearly average room rate for a standard double room in euros during the year 2017 as the dependent variable for each hotel included in the sample, due to it being invariant to seasonal effects and special events (Lee, 2015). Following Rosen (1974) and several previous studies in hotel price determinants (see a review of previous studies that considered this model in Zhang et al, 2011b for more details), this variable was log-transformed to facilitate the effect interpretation.…”
Section: Methodsmentioning
confidence: 99%
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“…Following previous studies on confrontation agglomeration vs. competition that consider hotel price as the dependent variable (Becerra et al, 2013;Lee, 2015;Park et al, 2022;Zhang et al, 2011a), we accounted for the yearly average room rate for a standard double room in euros during the year 2017 as the dependent variable for each hotel included in the sample, due to it being invariant to seasonal effects and special events (Lee, 2015). Following Rosen (1974) and several previous studies in hotel price determinants (see a review of previous studies that considered this model in Zhang et al, 2011b for more details), this variable was log-transformed to facilitate the effect interpretation.…”
Section: Methodsmentioning
confidence: 99%
“…This confrontation of two opposing effects has been extensively analyzed by previous hospitality research, highlighting two research streams. One stream, based on agglomeration models (Yang et al, 2014), has focused on analysing whether the hotel industry tends towards agglomeration and the factors that favour this trend (Adam & Mensah, 2014;Baum & Haveman, 1997;Cró & Martins, 2018;Fang et al, 2019;Fang et al, 2021;Freedman & Kosová, 2012;Kalnins & Chung, 2004;Lee et al, 2018;Li et al, 2015;Luo & Yang, 2016;Qin et al, 2021;Urtasun & Gutiérrez, 2006;Yang et al, 2014) while another stream has analyzed the impact of hotel agglomeration on hotel economic results and the factors that unbalance the confrontation between agglomeration and competition (Balaguer & Pernías, 2013;Becerra et al, 2013;Canina et al, 2005;Chung & Kalnins, 2001;Enz et al, 2008;Kalnins, 2016;Kim et al, 2020;Lee, 2015;Lee & Jang, 2013;Lee & Jang, 2015;Li & Du, 2018;Marco-Lajara et al, 2014;Marco-Lajara et al, 2016;McCann & Vroom, 2010;Park et al, 2022;Rezvani & Rojas, 2020;Silva 2016;Tsang & Yip, 2009;Urtasun & Gutiérrez, 2017).…”
Section: Hotel Location and Competition: The Agglomeration Viewmentioning
confidence: 99%
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