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Online Pricing Dispersion of Chinese Hotels

中国酒店网上价格离差研究

Bibliographic Data

ID12974665
AuthorsJichuan Zong (Nankai University, corresponding author), Fangfang Tang (0000-0003-2761-8524, Peking University), Wei Huang (0000-0002-5095-3972, Nankai University), Jun Ma (0000-0003-3412-7766, Nankai University)
Year2008
Volume4
Issue3-4
Pages248-260
Publication date2008-11-01
Open AccessNo
TypeARTICLE
VenueJournal of China Tourism Research (JOURNAL)
Journal identifiersISSN: 1938-8160 • E-ISSN: 1938-8179
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/19388160802502447
OpenAlexW1964631628
LanguageEN
Citations received2
References cited21

This study examined the issue of pricing practices across third‐party online intermediaries, and measured the scale of price dispersion in the hotel online booking market in Mainland China. The empirical results reveal that all four factors have significant effects on price dispersion of hotel online reservations, and the effects of type, rank, and location on price dispersion do not change along the factor of date. Key findings include: the higher the hotel rank and room type, the larger the price dispersion; the three cities exhibit different price dispersion patterns; and the higher the quality of the room, the larger the price dispersion is affected by location. 本文通过第三方网络中间商检验了中国大陆网上酒店预定价格定价策略并就网上酒店预定价格离差进行了测度。实证结果揭示:: 房型、酒店星级、地域和时间对网上酒店预订价格离差具有显著的影响,其中酒店星级的影响最大,且房型、酒店星级和地域三个因素其影响并不随时间发生变化。主要结论包括: :酒店房型越豪华、星级越高,则网上预订价格离差越大;;北京、上海和广州三地在网上酒店预订价格离差模式上存在差异,而且房间质量越高,价格离差受地域的影响越大

Advertising · Business · China · Dispersion (optics · Econometrics · Economics · Geography · Key (lock · Mainland China · Price dispersion · Quality (philosophy · Auction Theory and Applications · Computer Science · Consumer Market Behavior and Pricing · Digital Marketing and Social Media · Marketing

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Citations per year0.13
Citation span2011 - 2012 (2)
Highly citedNo

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