Has COVID-19 changed the factors explaining the occupancy of Airbnb accommodation? Madrid as a case study
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/138880
| Título: | Has COVID-19 changed the factors explaining the occupancy of Airbnb accommodation? Madrid as a case study |
|---|---|
| Autor/es: | Más-Ferrando, Adrián | Moreno-Izquierdo, Luis | Perles Ribes, José Francisco | Rubia, Antonio |
| Grupo/s de investigación o GITE: | Economía de la Innovación y de la Inteligencia Artificial (ECO-IA) | Finanzas de Mercado y Econometría Financiera |
| Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Análisis Económico Aplicado | Universidad de Alicante. Departamento de Economía Financiera y Contabilidad | Universidad de Alicante. Instituto Interuniversitario de Economía Internacional |
| Palabras clave: | COVID-19 | Structural break | Airbnb | Tourism demand | Madrid | Case study |
| Fecha de publicación: | 30-nov-2023 |
| Editor: | Elsevier |
| Cita bibliográfica: | Journal of Destination Marketing & Management. 2024, 31: 100837. https://doi.org/10.1016/j.jdmm.2023.100837 |
| Resumen: | In the aftermath of the COVID-19 pandemic, the dynamics of short-term rental demand, particularly on Airbnb, have seen pivotal shifts. Using Madrid as a case study, this research used strategic sampling to investigate changes in occupancy, housing attributes, and online reputation. Leveraging a sup-likelihood ratio test and a hedonic-type pooled panel-data Logit regression, we identified a marked structural break. Findings revealed a diminished demand-side bargaining power, resulting in increased rental prices and reduced information transparency. These results offered critical insights for tourism industry stakeholders, especially destination managers and Airbnb hosts. |
| Patrocinador/es: | The development and publication of this article has been financed within the framework of the project “Digital Transition and Innovation in The Labor Market and Mature Sectors. Taking Advantage of Artificial Intelligence and Platform Economy (DILATO)”, funded by the Ministry of Science and Innovation of the Spanish Government as part of the “Projects oriented to the Green and Digital Transition”. |
| URI: | http://hdl.handle.net/10045/138880 |
| ISSN: | 2212-571X (Print) | 2212-5752 (Online) |
| DOI: | 10.1016/j.jdmm.2023.100837 |
| Idioma: | eng |
| Tipo: | info:eu-repo/semantics/article |
| Derechos: | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Revisión científica: | si |
| Versión del editor: | https://doi.org/10.1016/j.jdmm.2023.100837 |
| Aparece en las colecciones: | INV - ECO-IA - Artículos de Revistas INV - Finanzas de Mercado y Econometría Financiera - Artículos de Revistas |
Archivos en este ítem:
| Archivo | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
 Mas-Ferrando_etal_2023_JDestinatMarketManag.pdf | 1,54 MB | Adobe PDF | Abrir Vista previa | |
Ver citas en Google Académico
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.