Analyzing the risk of entrepreneurship in tourist traffic
-
DOIhttp://dx.doi.org/10.21511/ppm.16(1).2018.19
-
Article InfoVolume 16 2018, Issue #1, pp. 199-206
- Cited by
- 1355 Views
-
167 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The contribution is aimed at developing a model of demand in tourist traffic with due regard to economic, geographical, demographical and social factors such as the GDP, Consumer Price Index, prices of trips, revenues per capita, exchange rate, etc. Important parts of this model are made up by the unpredictable negative situations that have already happened some time ago. The aim is to identify them and perform a follow-up analysis of the potential threats to a company involved in the tourist industry. Rated among those situations are terrorism, earthquakes and aviation accidents.
- Keywords
-
JEL Classification (Paper profile tab)L26, L83
-
References8
-
Tables4
-
Figures4
-
- Figure 1. Development of tourism between 1995–2013
- Figure 2. Development of revenues from tourism and the prices for trips for the period 1998–2008 (values representing the average of perceptual year-to-year differences of 23 countries)
- Figure 3. Development of revenues from tourism and Consumer Price Index for the period 1998– 2008 (values representing the average of percentual year-to-year differences of 23 countries)
- Figure 4. Development of the number of visitors and revenues from tourism for the period 1998–2008 (values representing the average of percentual year-to-year differences of 23 countries)
-
- Table 1. Development of tourism in 2013 by regions (%)
- Table 2. Year-to-year development of tourism over the period of 10 years (%)
- Table 3. Overview of methods of suggested models
- Table 4. Model results
-
- Bosáková, L., Kubák, M., Andrejkovič, M., & Hajduová, Z. (2015). Doing business abroad: utility function model for country selection in preliminary screening phase. Central European Journal of Operations Research, 23(1), 53-68.
- Cipra, T. (2008). Financial econometrics. Ekopress, Praha.
- Faulkner, B. (2001). Towards a framework for tourism disaster management. Tourism Management, 22, 135-147.
- Gergeľová, M., Kuzevičová, Ž., Kuzevič, Š., Mixtaj, L. (2013). Marketing with support of the use of GIS tools. Marketing & komunikace, 23(3), 16-17.
- Kaselyova, B., Tkáč, M. (2014). Design of experiments in truck company. Quality Innovation Prosperity, 19(1), 45-58.
- Kuzevičová, Ž., Gergeľová, M., Kuzevič, Š. (2013). Spatial models of historical sites and their use in geotourism. Acta Geoturistica, 4(2), 48-53.
- Uysal, M., Crompton, J. (1985). An overview of approaches used to forecast tourism demand. Journal of Travel Research, 23(2), 7-15.
- Witt, S. F., Song, H. (2001). Forecasting future tourism flows. In A. Lockwood & S. Medlik (Eds.), Tourism and hospitality in the 21st century (pp. 106-118). Oxford: Butterworth-Heinemann.