The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment

Milone, Francesco Luigi; Gunter, Ulrich; Zekan, Bozana

doi:10.1016/j.tourman.2023.104738

Cited by 14 publications

(2 citation statements)

References 70 publications

(113 reference statements)

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“…Thus, our findings pertaining to state-level pandemic controls’ effect on the OCC of different accommodation types provide only partial support for H3 ; while the OCC of chain-managed, franchised and independent hotels was more severely impacted in more restrictive states, Airbnb OCC remained unaffected (and also least impacted) by these restrictions in both types of states. Interestingly, our finding in the US context contrasts that of Milone et al (2023), who found that Airbnb demand declined more rapidly in European countries with more stringent COVID-19 control policy.…”

Section: Resultscontrasting

confidence: 99%

The impact of business models and state regulations on the accommodation sector: theory and empirical evidence from the recent pandemic

Doğru

Mody

Hanks

et al. 2023

IJCHM

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Purpose The purpose of this study is to investigate the effect of the COVID-19 pandemic on key performance metrics of accommodation properties by elaborating on the roles of business models (i.e. franchised, chain-managed and independent hotels, and the sharing economy) and state-level restrictions in the US. Design/methodology/approach The pandemic is considered a variable interference against the average daily rate, occupancy and revenue per available room, which permits the examination of the before and after effects of the pandemic. The panel data model is used to examine the effect of the recent pandemic on the accommodation sector in the USA. Findings The results showed that chain-managed hotels were the most adversely impacted by the COVID-19 pandemic, while independent hotels were the least adversely impacted. Interestingly, and consistent with emerging consumer needs suggested by spatial distance theory, the pandemic does not have significant negative effects on Airbnb. The adverse impact of the pandemic on hotels was exacerbated in more restrictive states, while Airbnb remained immune to regulatory differences. Research implications This study addresses the dearth of research on the types, roles and efficacy of business models in the accommodation industry and makes important theoretical contributions to the study of business model resilience in the accommodation industry, leveraging the resource-based theory of the firm and spatial distance theory. Originality The findings of this study make a significant contribution to the extant literature on the resilience of business models in the accommodation industry and have important implications for hotels, Airbnb owners, accommodation brands and destination and health policymakers. They demonstrate that a lower level of corporate control and greater flexibility in brand and operational standards allow for a more effective response to business disruptions such as a global pandemic.

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Section: Resultscontrasting

confidence: 99%

The impact of business models and state regulations on the accommodation sector: theory and empirical evidence from the recent pandemic

Doğru

Mody

Hanks

et al. 2023

IJCHM

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“…The importance of answering the question of "comparing to whom" is heightened within the context of our current study, particularly given our data collection period during with the COVID-19 pandemic. This scenario escalates due to the dramatic reduction in demand, leading to intensified competition among short-term rentals located in neighboring areas (Dolnicar & Zare, 2020;Milone, Gunter, & Zekan, 2023). Consequently, the urgency for these rental properties to mitigate local competition intensity while controlling legitimacy devaluation has surged.…”

Section: Differentiation and Conformitymentioning

confidence: 99%

Multi-level differentiation of short-term rental properties: A deep learning-based analysis of aesthetic design

Zhang,

Zach,

Xiang

2024

Tourism Management

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Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning

Jiménez-Jiménez,

Sancha,

Martín-Álvarez

et al. 2024

Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

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Research related to the sharing economy in yacht charter is scarce compared to other tourism services such as accommodation, so more contributions are needed. Yacht rental has become essential in the tourist services of coastal destinations, providing important benefits. The vertiginous growth of the boat rental offer hosted on p2p platforms requires analysis, characterization, and search for product patterns that allow a better knowledge of it. The data obtained, based on machine learning techniques, can be used as predictors to detect which products are suitable for the growth and development of the sector in each Andalusian marina. The results provide a relevant contribution to the sector and the enrichment of the literature.

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The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment

Cited by 14 publications

References 70 publications

The impact of business models and state regulations on the accommodation sector: theory and empirical evidence from the recent pandemic

The impact of business models and state regulations on the accommodation sector: theory and empirical evidence from the recent pandemic

Multi-level differentiation of short-term rental properties: A deep learning-based analysis of aesthetic design

Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning

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