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Analysis of temporal evolution of tourist visits to the region of Morón de la Frontera (Spain). Two possible explanatory variables of this evolution

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  • José Antonio Camuñez Ruiz
  • Germán Ramos Campos

Abstract

The municipality of Morón de la Frontera located in the province of Seville (Spain) has been promoting tourist visits in recent years, measured through the number of visitors, as another public and private income source. This number, considered at a monthly or annual level, is a good indicator of the tourist evolution of the municipality and, for this reason, in this work, it is chosen as an objective variable, in the sense of trying to explain it from nearby variables. Then, for the said variable, we carry out a TRAMO analysis, reflecting its trend and showing its seasonality. Also, a regression analysis with the objective variable explained by the time series measures the number of monthly visitors to the province of Seville, resulting in a positive and significant correlation of 0.4914 between both series. And, finally, a regression analysis where the objective variable, this time measured at an annual level, is explained by the GDP of the province of Seville, showing a positive and significant correlation, 0.489.

Suggested Citation

  • José Antonio Camuñez Ruiz & Germán Ramos Campos, 2024. "Analysis of temporal evolution of tourist visits to the region of Morón de la Frontera (Spain). Two possible explanatory variables of this evolution," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(2), pages 17-31.
    • Handle: RePEc:wut:journl:v:34:y:2024:i:2:p:17-31:id:2
    DOI: 10.37190/ord240202
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    1. Zou, Hui & Yang, Yuhong, 2004. "Combining time series models for forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 69-84.
    2. Maravall, Agustin, 1985. "On Structural Time Series Models and the Characterization of Components," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 350-355, October.
    3. Víctor Gómez & Agustín Maravall, 1998. "Seasonal Adjustment and Signal Extraction in Economic Time Series," Working Papers 9809, Banco de España.
    4. Faiza Manzoor & Longbao Wei & Muhammad Asif & Muhammad Zia ul Haq & Hafiz ur Rehman, 2019. "The Contribution of Sustainable Tourism to Economic Growth and Employment in Pakistan," IJERPH, MDPI, vol. 16(19), pages 1-14, October.
    5. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, September.
    6. Balke, Nathan S, 1993. "Detecting Level Shifts in Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 81-92, January.
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