Consumer valuation of Airbnb listings: a hedonic pricing approach

被引:0
|
作者
Chen, Yong [1 ]
Xie, Karen L. [2 ]
机构
[1] HES SO Univ Appl Sci Western Switzerland, Ecole Hoteliere Lausanne, Lausanne, Switzerland
[2] Univ Denver, Daniels Coll Business, Fritz Knoebel Sch Hospitality Management, Denver, CO 80208 USA
关键词
Hedonic price; Sharing economy; Price model; Airbnb listings; Customer valuation; ADVANCED-BOOKING; DETERMINANTS; TECHNOLOGY; STRATEGIES; PRICES; CHOICE; ROOM;
D O I
10.1108/IJCHM-10-2016-0606
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - This paper aims to identify a wide array of utility-based attributes of Airbnb listings and measures the effects of these attributes on consumers' valuation of Airbnb listings. Design/methodology/approach - A hedonic price model was developed to test the effects of a group of utility-based attributes on the price of Airbnb listings, including the characteristics of Airbnb listings, attributes of hosts, reputation of listings and market competition. The authors examined attributes as they relate to the price of Airbnb listings and, therefore, estimated consumers' willingness to pay for the specific attributes. The model was tested by using a dataset of 5,779 Airbnb listings managed by 4,602 hosts in 41 census tracts of Austin, Texas in the USA over a period from Airbnb's launch in Texas up until November 2015. Findings - The authors found that the functional characteristics of Airbnb listings were significantly associated to the price of the listings, and that three of five behavioral attributes of hosts were statistically significant. However, the effect of reputation of listings on the price of Airbnb listings was weak. Originality/value - This study inspires what they call a factor-endowment valuation of Airbnb listings. It shows that the intrinsic attributes that an Airbnb listing endows are the primary source of consumer utilities, and thus consumer valuation of the listing is grounded on its functionality as an accommodation. This conclusion can shed light on the examination of competition between Airbnb and hotel accommodations that are built on the same or similar intrinsic attributes.
引用
收藏
页码:2405 / 2424
页数:20
相关论文
共 50 条
  • [21] Evaluating the influence of Airbnb listings' descriptions on demand
    Janssens, Bram
    Bogaert, Matthias
    Van den Poel, Dirk
    INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2021, 99
  • [22] Investigating Airbnb listings' amenities relative to hotels
    Yu, Meng
    Cheng, Mingming
    Yu, Zhicheng
    Tan, Jie
    Li, Zhiyong
    CURRENT ISSUES IN TOURISM, 2022, 25 (19) : 3168 - 3185
  • [23] THE EFFECT OF COLOR IN AIRBNB LISTINGS ON GUEST RATINGS
    Jang, Hyunkyu
    ADVANCES IN HOSPITALITY AND TOURISM RESEARCH-AHTR, 2021, 9 (02): : 467 - 483
  • [24] Analysis of price determinants in the case of Airbnb listings
    Toader, Valentin
    Negrusa, Adina Letitia
    Bode, Oana Ruxandra
    Rus, Rozalia Veronica
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2022, 35 (01): : 2493 - 2509
  • [25] Airbnb listings' performance: determinants and predictive models
    Kirkos, Efstathios
    EUROPEAN JOURNAL OF TOURISM RESEARCH, 2022, 30
  • [26] The value of noise reduction based on the contingent valuation method and the hedonic pricing method
    Bjorner, TB
    TRAFFIC AND TRANSPORTATION STUDIES, PROCEEDINGS, 2004, : 632 - 641
  • [27] Property valuation: the hedonic pricing model: the application of search-and-matching models
    Lisi, Gaetano
    JOURNAL OF PROPERTY INVESTMENT & FINANCE, 2022, 40 (01) : 68 - 76
  • [28] Integrating non-monetary and monetary valuation methods - SoftGIS and hedonic pricing
    Czembrowski, Piotr
    Kronenberg, Jakub
    Czepkiewicz, Michal
    ECOLOGICAL ECONOMICS, 2016, 130 : 166 - 175
  • [29] Valuation of ranchette amenities: A hedonic price approach.
    Sengupta, S
    Osgood, D
    JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2002, 27 (02): : 583 - 583
  • [30] Selling or Leasing? Pricing Information Goods with Depreciation of Consumer Valuation
    Dou, Yifan
    Hu, Yu Jeffrey
    Wu, D. J.
    INFORMATION SYSTEMS RESEARCH, 2017, 28 (03) : 585 - 602