How does the country of origin affect tourist expenditure? An extended quantile regression analysis
| dc.contributor.author | Martín Ramos-Domínguez, Ángel | |
| dc.contributor.author | Hernández Martín, Raúl | |
| dc.contributor.author | Padrón Ávila, Hugo | |
| dc.date.accessioned | 2024-08-13T10:41:06Z | |
| dc.date.available | 2024-08-13T10:41:06Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Nationality is considered a highly relevant determinant of tourism expenditure. In this paper, we use survey data to estimate the main determinants of daily tourism expenditure in 2019 for five nationalities of a major coastal destination, the Canary Islands. A total of 38 regressors, based on literature, are used with the help of quantile regression analysis to understand the behaviour patterns of different expenditure segments. To obtain segmented information on the determinants of expenditure, independent quantile regression models for each nationality are estimated and compared. Results show that there are similarities but also some remarkable differences between nationalities regarding income, age, travel group, educational level, or content of the package that can be used in destination management and marketing. | eng |
| dc.description.filiation | UEC | spa |
| dc.description.impact | 1.6 Q3 JCR 2023 | spa |
| dc.description.impact | 0.514 Q2 SJR 2023 | spa |
| dc.description.impact | No data IDR 2023 | eng |
| dc.description.sponsorship | Sin financiación | spa |
| dc.identifier.citation | Ramos-Domínguez, Á. M., Hernández-Martín, R., & Padrón-Ávila, H. (2023). How does the country of origin affect tourist expenditure? An extended quantile regression analysis. Anatolia, 35(2), 203–218. https://doi.org/10.1080/13032917.2023.2165128 | spa |
| dc.identifier.doi | 10.1080/13032917.2023.2165128 | |
| dc.identifier.issn | 1303-2917 | |
| dc.identifier.issn | 2156-6909 | |
| dc.identifier.uri | http://hdl.handle.net/11268/12964 | |
| dc.language.iso | eng | eng |
| dc.peerreviewed | Si | spa |
| dc.relation.publisherversion | https://doi.org/10.1080/13032917.2023.2165128 | spa |
| dc.rights.accessRights | restricted access | spa |
| dc.subject.sdg | Goal 11: Make cities inclusive, safe, resilient and sustainable | |
| dc.subject.unesco | Industria turística | spa |
| dc.subject.unesco | Inversión | spa |
| dc.subject.unesco | Análisis económico | spa |
| dc.title | How does the country of origin affect tourist expenditure? An extended quantile regression analysis | eng |
| dc.type | journal article | eng |
| dspace.entity.type | Publication |

