Title Analysis of the demand for gastronomic tourism in Andalusia (Spain)
External publication No
Means PLoS ONE
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 1
JCR Impact 3.75200
SJR Impact 0.85200
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100516827&doi=10.1371%2fjournal.pone.0246377&partnerID=40&md5=bd283434bb3ae3528fcf7d499234c995
Publication date 01/01/2021
ISI 617991900011
Scopus Id 2-s2.0-85100516827
DOI 10.1371/journal.pone.0246377
Abstract In recent years, gastronomy has become a fundamental motivation to travel. Learning how to prepare gastronomic dishes and about the raw materials that compose them has attracted increasing numbers of tourists. In Andalusia (region of southern Spain), there are many quality products endorsed by Protected Designations of Origin, around which gastronomic routes have been created, some visited often (e.g., wine) and others remaining unknown (e.g., ham and oil). This study analyses the profile of gastronomic tourists in Andalusia to understand their motivations and estimates the demand for gastronomic tourism using seasonal autoregressive integrated moving average (SARIMA) models. The results obtained indicate that the gastronomic tourist in Andalusia is very satisfied with the places he/she visits and the gastronomy he/she savours. However, the demand for this tourist sector is very low and heterogeneous; while wine tourism is well established, tourism focusing on certain products, such as olive oil or ham, is practically non-existent. To obtain a homogeneous demand, synergies or pairings should be created between food products, e.g., wineham, oil-ham, etc., to attract a greater number of tourists and distinguish Andalusia as a gastronomic holiday destination. © 2021 Dancausa Millán et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords adult; age distribution; Article; consumer; descriptive research; employment status; female; food; food industry; food quality; human; male; mathematical model; motivation; qualitative analysis; quant
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