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Enotourism in Southern Spain: The Montilla-Moriles PDO

Author

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  • Jose Antonio Cava Jimenez

    (Department of Agriculture Economics, Finance Accounting, Córdoba University, 14071 Córdoba, Spain)

  • Mª Genoveva Millán Vázquez de la Torre

    (Department Quantitative Methods, Universidad Loyola Andalucía, 14004 Córdoba, Spain)

  • Mª Genoveva Dancausa Millán

    (Department of Statistics, Córdoba University, 14071 Córdoba, Spain)

Abstract

The profile of tourists during the COVID-19 pandemic is changing toward those seeking health, safety and quality products. One of the modalities that best adapts to these needs is gastronomic tourism and, within this segment, wine tourism (enotourism), which can be enjoyed in many areas across the world. The great diversity of grapes, climates, terrains and winemaking processes gives rise to an enormous variety of wines that ensures that no two wines are alike. The current situation of the tourism market necessitates enhancing the uniqueness of areas that offer differentiated products, helping to position such locations as benchmarks for gastronomic tourism. Gastronomic routes provide a way to unify and benefit rural areas through the recently increased demand of tourists seeking to experience regional foods. In this study, the Montilla-Moriles Wine Route is analyzed with the objective of forecasting the demand (using autoregressive integrate moving average, ARIMA models), establishing a tourist profile and calculating the probability that a wine tourist is satisfied with the visit based on their personal characteristics (logit model). The results obtained indicate a slight increase (3.6%) in wine tourists with a high degree of satisfaction, primarily derived from the gastronomic or catering services of the area, from the number of wineries visited, from the treatment received and from the age of the tourist. Consequently, a high percentage of these tourists recommend the route. By increasing the demand for enotourism in this area and applying the results obtained, marketing initiatives could be established, particularly for wine festivals to improve this tourist segment and generate wealth in that area.

Suggested Citation

  • Jose Antonio Cava Jimenez & Mª Genoveva Millán Vázquez de la Torre & Mª Genoveva Dancausa Millán, 2022. "Enotourism in Southern Spain: The Montilla-Moriles PDO," IJERPH, MDPI, vol. 19(6), pages 1-21, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3393-:d:770406
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    References listed on IDEAS

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    1. Dimitris Karagiannis & Theodore Metaxas, 2020. "Sustainable Wine Tourism Development: Case Studies from the Greek Region of Peloponnese," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
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    4. José Antonio Cava Jiménez & María Genoveva Millán Vázquez de la Torre & Ricardo Hernández Rojas, 2019. "Analysis of the Tourism Demand for Iberian Ham Routes in Andalusia (Southern Spain): Tourist Profile," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    5. Škare, Marinko & Soriano, Domingo Riberio & Porada-Rochoń, Małgorzata, 2021. "Impact of COVID-19 on the travel and tourism industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
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    Cited by:

    1. Mª Genoveva Dancausa Millán & Mª Genoveva Millán Vázquez de la Torre, 2022. "Quality Food Products as a Tourist Attraction in the Province of Córdoba (Spain)," IJERPH, MDPI, vol. 19(19), pages 1-23, October.
    2. Flavia Dana Oltean & Manuela Rozalia Gabor, 2022. "Wine Tourism—A Sustainable Management Tool for Rural Development and Vineyards: Cross-Cultural Analysis of the Consumer Profile from Romania and Moldova," Agriculture, MDPI, vol. 12(10), pages 1-24, October.
    3. Martín-Navarro, Alicia & Velicia-Martín, Felix & Medina-Garrido, José Aurelio & Palos-Sánchez, Pedro R., 2023. "Impact of effectual propensity on entrepreneurial intention," Journal of Business Research, Elsevier, vol. 157(C).
    4. Mª Genoveva Dancausa Millán & Mª Genoveva Millán Vázquez de la Torre, 2024. "Olive Oil as a Tourist Attraction: An Analysis of Demand," Land, MDPI, vol. 13(10), pages 1-20, September.
    5. Juan D. Borrero & Jesús Mariscal & Alfonso Vargas-Sánchez, 2022. "A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors," Stats, MDPI, vol. 5(4), pages 1-14, November.

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