You’re the Only One,or Simply the Best. Hotels differentiation,competition, agglomeration,and pricing |
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| Institution: | 1. CIMEDES Research Center, Department of Economics and Business, University of Almeria, Carretera de Sacramento, s/n, 04120 Almeria, Spain;2. CIMEDES Research Center, Department of Mathematics, University of Almeria, Carretera de Sacramento, s/n, 04120 Almeria, Spain;1. University of Las Palmas de Gran Canaria, Edificio Departamental de Ciencias Económicas y Empresariales, Módulo C. C2-08, Spain;2. National Pingtung University of Science and Technology, Department of Hotel and Restaurant Management, 1 Shueh fu Road, Neipu, Pingtung 91201, Taiwan;1. Austrian Institute of Economic Research, WIFO, Austria;2. Statistics Sweden, Sweden;1. Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong 510275, China;2. School of Sport, Tourism and Hospitality Management, Temple University, Philadelphia, PA 19122, United States;1. University of Bologna, Department of Statistics, via delle Belle Arti 41, 40126, Bologna, Italy;2. Xenia S.p.A., Via A. Gramsci 79, 66016, Guardiagrele, Italy;1. School of Business and Tourism Management, Yunnan University, Kunming 650091, China;2. Tourism and Social Administration College, Nanjing Xiaozhuang University, Nanjing 211171, China;3. School of Hospitality Business Management, Carson College of Business, Washington State University, Pullman, WA 99164-4742, USA;4. College of Tourism and Landscape Architecture, Guilin University of Technology, Guilin 541006, China;5. Department of Apparel, Events, and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011-1078, USA |
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| Abstract: | 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. |
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| Keywords: | Hotels Pricing Vertical differentiation Horizontal differentiation Competition Agglomeration Differentiation index Quantile regression |
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