Forecasting tourism arrival in Panama using ARIMA models

• Autores: Mitzi Isabel Cubilla Montilla, María de los Ángeles Frende Vega, Clara Elena Cruz, Arnold O. Muñoz Agrazal
• Localización: Revista de ciencias sociales, ISSN-e 1315-9518, Vol. 31, Nº. 3, 2025, págs. 21-37
• Idioma: inglés
• DOI: 10.31876/rcs.v31i3.44267
• Enlaces
  • Texto completo (pdf)
• Resumen

  • The tourism industry stands out as a significant source of revenue. Beyond driving economic growth and job creation, tourism also plays a key role in stimulating infrastructures development and promoting services tourist. This study aimed to forecast tourist arrivals in Panama using ARIMA models. Monthly data on tourist arrivals to Panama were collected. The results show that the ARIMA model provides reasonable and useful forecasts for tourist arrivals in Panama, with an acceptable level of accuracy. Therefore, in conclusion, the results of this study become significant for the strategic planning of tourism in Panama, in response to the dynamics of this important sector of the national economy.

• Referencias bibliográficas
  • Citas Adeola, O., Boso, N., & Evans, O. (2018). Drivers of international tourism demand in Africa. Business Economics, 53(1), 25-36....
  • Anzaldúa-Soulé, K. R., Almazán-Adame, A. A., Lorenzana, O., & Saldaña, M. (2021). Potencial paisajístico de la Laguna de Coyuca de Benítez:...
  • Athanasopoulos, G., Hyndman, R. J., Song, H., & Wu, D. C. (2011). The tourism forecasting competition. International Journal of Forecasting,...
  • Autoridad de Turismo de Panamá (2023). Análisis del Desempeño Turísticos. Autoridad de Turismo de Panamá. https://www.atp.gob.pa/estadisticas-e-informacion-del-mercado-2/
  • Baldigara, T., & Mamula, M. (2012). Tourism statistics in Croatia: Present status and future challenges. Procedia - Social and Behavioral...
  • Box, G. E. P., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: Forecasting and control. Wiley.
  • Box, G. E. P., & Jenkins, G. M. (1976). Time series analysis: Forecasting and control. Holden-Day.
  • Cao, W., Wang, D., Li, J., Zhou, H., Li, L., & Li, Y. (2018). Brits: Bidirectional recurrent imputation for time series. In S. Bengio,...
  • Denk, M., & Weber, M. (2011). Avoid filling Swiss cheese with whipped cream: Imputation techniques and evaluation procedures for cross-country...
  • Du Preez, J., & Witt, S. F. (2003). Univariate versus multivariate time series forecasting: an application to international tourism demand....
  • Gunter, U., & Önder, I. (2015). Forecasting international city tourism demand for Paris: Accuracy of uni-and multivariate models employing...
  • Hanafiah, M. H., Hasan, M. R., & Som, A. P. M. (2022). Managing modern Muslim travellers: Emerging trends and issues for Islamic tourism...
  • Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.
  • Janjua, L. R., Muhammad, F., Sukjai, P., Rehman, A., & Yu, Z. (2021). Impact of COVID-19 pandemic on logistics performance, economic growth...
  • Jayasundara, C. L. (2019). Forecasting monthly tourist arrivals to Sri Lanka [Master’s theses, University of Moratuwa]. http://dl.lib.mrt.ac.lk/handle/123/15909
  • Kaya, A., & Turkoglu, I. (2021). Comparison of clustering performances of missing data imputation methods. Innovations in Intelligent...
  • Kim, J. H., Wong, K., Athanasopoulos, G., & Liu, S. (2011). Beyond point forecasting: Evaluation of alternative prediction intervals for...
  • Law, R., Li, G., Fong, D. K. C., & Han, X. (2019). Tourism demand forecasting: A deep learning approach. Annals of Tourism Research, 75,...
  • Li, H., Hu, M., & Li, G. (2020). Forecasting tourism demand with multisource big data. Annals of Tourism Research, 83, 102912. https://doi.org/10.1016/j.annals.2020.102912
  • Liu, H., Liu, Y., Wang, Y., & Pan, C. (2018). Hot topics and emerging trends in tourism forecasting research: A scientometric review....
  • Loor, L., Plaza, N., y Medina, Z. (2021). Turismo comunitario en Ecuador: Apuntes en tiempos de pandemia. Revista de Ciencias Sociales (Ve),...
  • Moritz, S., Sardá, A., Bartz-Beielstein, T., Zaefferer, M., & Stork, J. (2015). Comparison of different Methods for Univariate Time Series...
  • Naranjo, M. R., & Martínez, M. D. L. A. (2022). Reflexiones teóricas sobre la demanda turística global: Incidencia en la gestión y comercialización...
  • Nissan, E., Galindo, M.-A., & Méndez, M. T. (2011). Relationship between tourism and economic growth. The Service Industries Journal,...
  • Nugra, M. A., Illescas, W. H., Cuadros, P. A., y Valdivia, R. A. (2021). Turismo minero en Yanacocha: Una alternativa de desarrollo para la...
  • Ospina, R., Gondim, J. A. M., Leiva, V., & Castro, C. (2023). An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic:...
  • Pan, B., & Yang, Y. (2017). Forecasting destination weekly hotel occupancy with big data. Journal of Travel Research, 56(7), 957-970....
  • Park, J., Müller, J., Arora, B., Faybishenko, B., Pastorello, G., Varadharajan, C., Sahu, R., & Agarwal, D. (2023). Long-term missing...
  • Peña, D. (2010). Análisis de series temporales. Alianza Editorial.
  • Phan, T.-T.-H., Poisson, É., Lefebvre, A., & Bigand, A. (2020). Dynamic time warping-based imputation for univariate time series data....
  • Silva, F., & Roque, M. (2024). Building the framework for sustainable tourism in Principe Island. Tourism and Hospitality, 5(1), 225-236....
  • Song, H., Qiu, R. T. R., & Park, J. (2019). A review of research on tourism demand forecasting: Launching the Annals of Tourism Research...
  • Song, H., & Witt, S. F. (2000). Tourism demand modelling and forecasting: Modern econometric approaches. Taylor & Francis.
  • Sun, S., Wei, Y., Tsui, K.-L., & Wang, S. (2019). Forecasting tourist arrivals with machine learning and internet search index. Tourism...
  • Tovmasyan, G. (2023). Factors that influence domestic tourism demand: Evidence from Armenia. Economics & Sociology, 16(2), 75-88. https://www.economics-sociology.eu/?961,en_factors-that-influence-domestic-tourism-demand-evidence-from-armenia
  • Varzakas, I.-P., & Metaxas, T. (2024). Pandemic and Economy: An Econometric Analysis Investigating the Impact of COVID-19 on the Global...
  • Wong, K. K. F., Song, H., Witt, S. F., & Wu, D. C. (2007). Tourism forecasting: To combine or not to combine? Tourism Management, 28(4),...
  • World Trade Organization - WTO (2022). World Trade Report 2022: Climate change and international trade. WTO. https://www.wto.org/english/res_e/publications_e/wtr22_e.htm
  • World Trade Organization - WTO (2023). World Trade Report 2023: Re-globalization for a secure, inclusive and sustainable future. WTO. https://www.wto.org/english/res_e/publications_e/wtr23_e.htm
  • World Travel and Tourism Council - WTTC (24 de mayo de 2023). Contribución del sector de viajes y turismo de Panamá representará el 16.4%...
  • Zhang, C., Wang, S., Sun, S., & Wei, Y. (2020). Knowledge mapping of tourism demand forecasting research. Tourism Management Perspectives,...
  • Zhou, F., Zheng, T., Schrier, T., & Farrish, J. (2022). Examining the impact of China’s corruption crackdown: A forecast for Macau’s tourism...