|Title:||Pent-up demand effect at the tourist market|
Vol. 13, No 2, 2020
Published date: 06-2020 (print) / 06-2020 (online)
Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
National Academy of Management, Kyiv, Ukraine
Kyiv National University of Technology and Design
National Aviation University Flight Academy, Kropyvnytskyy, Ukraine
|Keywords:||pent-up demand, tourist services, epidemiological situation, economic crisis|
|JEL classification:||R22, L83, G01, O50|
The article is dedicated to modeling of the effect of the pent-up demand situation at the tourist market caused by the current epidemiological situation in the world. The authors have investigated the current trends at the global travel services market in connection with the COVID-19 outbreak. The article determines that tourism is most sensitive to the crises of epidemiological, political and economic nature. In this regard, the authors analyzed the situation with pent-up demand for tourist services based on the data from the previous periods. To simulate the effect of the pent-up demand situation at the tourist services market, the authors are looking at tourism products in Italy and France, considering the current COVID-19 outbreak in these countries. The authors analyzed the English-language and Russian-language queries "Tours to Italy" and "Journey to Paris" using the Google Trends data and determined the dynamics of search queries over the past five years. The correlation analysis has confirmed that the popularity of searches from potential consumers is closely correlated with the volume of real demand for tourist services.
1. Alekseev, N.E., & Ilchenko, S.M. (2013). Demand trend as a factor of economic development. Omsk Scientific Herald, 5, 56-59.
2. Antokhonova, I.V. (2005). Consumer demand in a transition economy: a statistical research methodology. Publishing House of the BSC SB RAS.
3. Brown, G. R. (2004). Smoothing, Forecasting and Prediction of Discrete Time Series. Dover Phoenix Editions.
4. Carroll, C.D. (1997). Buffer-Stock Saving and the Life Cycle. Permanent Income Hypothesis, 12(1), 1–55.
5. COVID-19: UNWTO Calls on tourism to be part of recovery plans (2020, March 19). Retrieved from https://unwto.org/news/covid-19-unwto-calls-on-tourism-to-be-part-of-recovery-plans
6. Deaton, A. (1991). Saving and Liquidity Constraints. Econometrica, 59 (5), 1221–1248.
7. Drozdova, N.V., & Perelomova, I.G. (2010). Economic-Mathematical Modeling. Yaroslavl State University.
8. Feoktistova, N.A. (2009). Development trends in the local (local) product market. Economics of Education, 2(3), 292-295.
9. Friedman, M., & Savage L.J. (1948) Utility Analysis of Choices Involving Risk. Journal of Political Economy, 56(4), 279–304.
10. Gaoa, Y., Rasoulib, S., Timmermansb, H., & Wanga, Y. (2014). Reasons for not buying a car: a probit-selection multinomial logit choice model. Procedia Environmental Sciences, 22, 414 – 422.
11. Guevara, G. (2020, March 1). El coronavirus costará al menos 20.000 millones de euros al turismo mundial. Retrieved from https://www.elmundo.es/economia/ macroeconomia/2020/02/27/5e56c3fe21efa02a5d8b4714.html
12. Holt, C.C. (1957). Forecasting trends and seasonals by exponentially weighted moving averages. O.N.R. Memorandum, Carnegie Inst. of Technology.
13. Katona, G. (1951). Psychological A Bnalisys of Economic Behaviour. McGrow-Hill.
14. Novosyolov, A.S., & Novosyolov, A.S. (2002). Theory of Region markets. Phoenix.
15. Oleynik, N.S. (2013). Marketing: Textbook. Nizhny Novgorod.
16. Roudposhti, V.M., Nilashi, M., Mardani, A., Streimikiene, D., Samad, S., & Ibrahim, O. (2018). A new model for customer purchase intention in ecommerce recommendation agents. Journal of International Studies, 11(4), 237-253. doi:10.14254/2071-8330.2018/11
17. Solomatina, A.N. (2000). Economy and organization of commercial enterprises. INFRA-M.
18. Streimikiene, D., & Bilan, Y. (2015). Review of rural tourism development theories. Transformations in Business and Economics, 14(2), 21-34.
19. Theil, H., & Wage S. (1964). Some observations on adaptive forecasting. Management Science, 10(2), 198-206.
20. Tourism and Coronavirus disease (COVID-19) (2020, March 20). Retrieved from https://unwto.org/tourism-covid-19-coronavirus
21. Tounta, P. (2020, March 5). Pandemic 2020: The impact on tourism and the shadowy points. Retrieved from https://www.traveldailynews.com/post/pandemic-2020-the-impact-on-tourism-and-the-shadowy-points
22. Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185, 1124-1131.
23. Vaitkevičius, S., Mažeikienė, E., Bilan, S., Navickas, V., & Savanevičienė, A. (2019). Economic demand formation motives in online-shopping. Inžinerinė ekonomika, 12, 631-640.
24. Wahlund, R., & Gunnarsson, J. (1996). Mental Discounting and Financial Strategies. J. Of Economic Psychol, 17, 709–730.
25. Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6(3), 324-342.
26. Zadoya, A.A. (2014). Aggregate demand as a factor and result of economic growth. Scientific works DonNTU, 1, 252-261.