Does Airbnb have a homogenous impact? Examining Airbnb’s effect on hotels with different organizational structures

Doğru, Tarik; Hanks, Lydia; Özdemir, Özcan; Kizildag, Murat; Ampountolas, Apostolos; Demirer, Ilhan

doi:10.1016/j.ijhm.2020.102451

Cited by 25 publications

(25 citation statements)

References 33 publications

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“…In particular, research in this area tends to focus on impacts on the hospitality industry, as well as local housing and rental markets. For instance, Dogru et al (2020) explored the overall impact of Airbnb on the structure of the US hotel market. Through an analysis of the effect of a number of variables, including the number of active Airbnb listings, hotel supply variables and the number of airport passengers on metrics of hotel revenue and occupancy, the number of Airbnb listings is found to have a negative effect on the revenue of hotels and a statistically insignificant effect on hotel occupancy.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To determine the number of Airbnb listings present in each year, listings were classified by their first review date and included in the cumulative count for the following year. Following the methods used in other studies (Barron et al , 2018; Dogru et al , 2020; Horn and Merante, 2017; Sheppard and Udell, 2016), the number of listings for each year was log transformed. Table 1 shows the summary statistics of the variables used in this study.…”

Section: Datamentioning

confidence: 99%

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Land value impacts of Airbnb listings on single-family homes in Austin, Texas, USA

Jiao¹,

Azimian

2021

IJHMA

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Purpose This study aims to explore the impacts of Airbnb listings on land values in the Austin, Texas, USA area, particularly on single-family homes. The goal of the analysis is to shed light on how greatly and in what direction Airbnb is affecting the housing market, with an emphasis on the spatial distribution of its effects. Design/methodology/approach The analysis in this paper is performed using three distinct models on a data set of land parcel data within Travis County: an ordinary least squares regression model, a geographically weighted regression (GWR) aimed at detecting the influence of variables at the census tract level, and a Bayesian approach, which describes spatial and temporal effects on the data. Findings The findings of the analysis indicate that across the years 2013 to 2019, higher numbers of Airbnb listings were associated with lower percentage increases in land value in certain tracts in the northern and eastern parts of the city. Additionally, the results of the Bayesian model indicated that much of the change in land value can be attributed to unobserved factors within census tracts. Originality/value The contribution of this study to the existing literature is its analysis of the spatial and temporal analysis of the effects of Airbnb listings on land value using a GWR and a Bayesian model. Also, as the negative correlation found in the study departs from previous research, this paper may provide policymakers insight into the complex spatial distribution and conflicting effects of Airbnb listings across distinct parts of cities.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Land value impacts of Airbnb listings on single-family homes in Austin, Texas, USA

Jiao¹,

Azimian

2021

IJHMA

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“…Bagi pelaku usaha perhotelan konvensional, Airbnb berdampak pada performansi hotel (seperti tingkat penghunian kamar dan pendapatan) hingga kenaikan harga lahan yang dapat berujung gentrifikasi (Benítez-Aurioles, 2019;Chattopadhyay & Mitra, 2020;Dogru, Hanks, Mody, et al, 2020;Ginindza & Tichaawa, 2019). Meski demikian, tidak berarti bahwa Airbnb memiliki dampak yang sama pada setiap lokasi/daerah (Dogru, Hanks, Ozdemir, et al, 2020).…”

Section: A Pendahuluanunclassified

Analisis Dampak Platform Peer-To-Peer Airbnb Terhadap Usaha Perhotelan Konvensional di Provinsi Bali

Ganapati¹,

Sukwika

Sulistyadi

2021

J. Kepariwisataan Destin. Hosp. dan Perjalanan

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The sharing economy platforms in the accommodation, such as Airbnb, gain more public attention. Several hoteliers in Indonesia have complained about the unequal playing of the field due to the alleged tax violations. Some studies on the impact of Airbnb have been discussed in various countries, but this subject has not been widely conducted in Indonesia. This study aims to determine the impact of Airbnb on the conventional hotel industry in Bali and how the conventional hotel’s response to compete with Airbnb. This research was conducted using qualitative research. Data was collected through interviews and secondary data collection. Interviews were conducted with representatives of hoteliers, Airbnb owners, and hospitality associations in Bali. Using forecasting analysis, this study finds that the presence of Airbnb in Bali has an impact on the occupancy rate of conventional hotels in Bali. However, there doesn't a significant impact from Airbnb regarding the hospitality revenue. Meanwhile, conventional hoteliers generally do not make particular efforts to compete with Airbnb. This research implies for the managerial side of hotels and public programs and policies, especially for the Government of Bali in the future to pay attention to consumer protection to provide equal action between conventional hotel and Airbnb owners.

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“…However, these effects are not uniform: the type of hotels (e.g. ownership) and location matter (Dogru, T. et al 2020). Guttentag, G. (2015) described Airbnb as a disruptive innovation in the accommodation sector.…”

Section: Airbnb -Characteristics and Conflictsmentioning

confidence: 99%

The effects of COVID-19 on Airbnb

2020

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COVID-19 pandemic starting at the end of 2019, hit hard tourism and hospitality industries throughout the world. As a part of the processes, the most popular P2P accommodation service, the Airbnb also faced a rapid drop in bookings. This study explores and compares the effects of the first wave of the pandemic on the Airbnb markets of 15 cities. The analysis is based on the data retrieved from Insideairbnb.com. Booking trends are compared between 2019 and 2020 and a day-to-day analysis of occupancy rates during the first months of 2020 is also performed. Special attention was paid to the effects of pandemic on different price categories of listings. The results show that the evolution of local pandemic situation had the most significant impact on bookings and occupancy rates in the investigated cities. The characteristics of local markets and the pandemic and economic situation of sending countries had also great influence on the bookings and cancellations. In addition, in some cases the cancellations did not affect the reservations made for the later periods, meaning that tourists hoped for a quick recovery. The effect on price categories was also different from one location to another. The study provides empirical insights to the effects of the disease on P2P accommodations. Furthermore, the future of short-term rentals is also discussed briefly.

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Does Airbnb have a homogenous impact? Examining Airbnb’s effect on hotels with different organizational structures

Cited by 25 publications

References 33 publications

Land value impacts of Airbnb listings on single-family homes in Austin, Texas, USA

Land value impacts of Airbnb listings on single-family homes in Austin, Texas, USA

Analisis Dampak Platform Peer-To-Peer Airbnb Terhadap Usaha Perhotelan Konvensional di Provinsi Bali

The effects of COVID-19 on Airbnb

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