The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
Open accessAbstract
Peer-to-peer markets, collectively known as the sharing economy, have emerged as alternative suppliers of goods and services traditionally provided by long-established industries. The authors explore the economic impact of the sharing economy on incumbent firms by studying the case of Airbnb, a prominent platform for short-term accommodations. They analyze Airbnb's entry into the state of Texas and quantify its impact on the Texas hotel industry over the subsequent decade. In Austin, where Airbnb supply is highest, the causal impact on hotel revenue is in the 8%–10% range; moreover, the impact is nonuniform, with lower-priced hotels and hotels that do not cater to business travelers being the most affected. The impact manifests itself primarily through less aggressive hotel room pricing, benefiting all consumers, not just participants in the sharing economy. The price response is especially pronounced during periods of peak demand, such as during the South by Southwest festival, and is due to a differentiating feature of peer-to-peer platforms—enabling instantaneous supply to scale to meet demand.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Capacity can be scaled rapidly, especially during periods of high and less price-sensitive demand.
“capacity can be scaled rapidly, especially during periods of high and less price-sensitive demand”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Zervas et al., 2017
A platform's fixed and marginal costs are typically lower compared to pipeline business model counterparts.
“a platform's fixed and marginal costs are typically lower compared to their pipeline business model counterparts”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Zervas et al., 2017
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 42 · Cited by 2,376
- Authors
- Zervas, G., Proserpio, D., & Byers, J. W.
- Affiliations
- Boston University (US)
- University of Southern California (US)
- Corresponding author
- Zervas, Georgios
- Proserpio, Davide
- Byers, John W.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2017-10
- Volume
- 54
- Issue
- 5
- Pages
- 687-705
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W3123937330
- Cited by
- 2,376
- References
- 42
- Citations by year
- 2026: 95 · 2025: 161 · 2024: 196 · 2023: 198 · 2022: 252 · 2021: 303 · 2020: 349 · 2019: 311 · 2018: 222 · 2017: 162 · 2016: 93 · 2015: 27 · 2014: 6
- FWCI
- 516.30
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Journal of Marketing Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- OpenBU (Boston University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
- Keywords
- sharing economy, Airbnb, peer-to-peer platforms, hotel industry, short-term rentals, hotel revenue, room pricing, incumbent firms, business travelers, peak load, Austin, Texas
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review