Scientific and practical journal
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Regional Economy
   



Journal Regional Economy -- re2019.04.087

Repository of Institute of Regional Research UDC 338.487; JEL С10, D33, R20
Blahun, I. S., Leshchuk, H. V., & Kyfor, M. V. (2019). Ekonomichne modelyuvannya popytu na turystychni posluhy v rehionakh [Economic modeling of touristic services demand in the regions]. Rehional'na ekonomika - Regional Economy, 94 (4), 87-93. DOI: https://doi.org/10.36818/1562-0905-2019-4-7. [in Ukrainian].
Sources: 11

Authors



Blahun Ivan Semenovych

Doctor of Economics, Professor, Honored Worker of Science and Technology of Ukraine

Dean, Head of the Department of economic cybernetics of the Faculty of Economics of the Vasyl Stefanyk Precarpathian National University

Contacts: blagun@email.ua

Webpages:



Leshchuk Halyna Vasylivna

Doctor of Economics, Associate Professor

Professor of the Department of accounting and audit of the Faculty of Economics of the Vasyl Stefanyk Precarpathian National University

Contacts: galynaleshuk@gmail.com

Webpages:



Kyfor Mariya Volodymyrivna

Senior Lecturer of the Department of economic cybernetics of the Faculty of Economics of the Vasyl Stefanyk Precarpathian National University

Contacts: kyformarija@gmail.com

Webpages:

Resume

Considering the important role of tourism in the socio-economic development of regions, the need for information and modeling of ways to increase demand for tourism services and tourism development is being updated. The article uses methods of analytical, logical, comparative analysis and systematic approach to study trends in demand for tourist services in Ukraine. Econometric modeling analyzes the demand for tourism services by the level of income and expenditures of the population in 2018. Trends in demand for tourism services in 2018 in terms of income and expenditure of the population with the use of the Tornquist econometric model have been analyzed. It is proposed to use the decile groups of the population for analyzing income and expenditure by the level of income, total income per capita, the level of household expenditure relative to income, the percentage of tourism expenditure by households, the expenditure on tourism and the elasticity of tourism demand. Average values of the population’s expenditures on tourism were established, which helped to determine the elasticity of effective demand for each decile group. The more than one unit of elasticity of effective tourism demand for each decile group indicated that tourism services for domestic households belong to the group of luxury goods and services. It should be noted that in the following decile income groups of households there is a decrease in elasticity. It means that when income tends to increase indefinitely, elasticity coefficients fall, and this indicates a stabilization of costs of this type. In this case, the percentage of households in each decile group that recorded the costs of organized tourism in their budgets and the value of the probability of household participation in this form of recreation was determined based on an estimated probability model. An analysis of the values of income elasticity indicators in each income decile group has shown that increasing household incomes contribute to increased demand for tourism services and an increase in the share of expenditures for these purposes in household budgets.

Keywords:

tourism industry of Ukraine, touristic services, income and expenditure of the population, modeling, elasticity of demand

References

    
  1. Sahalakova, N. O. (2016). Turyzm: biznes-procesy, ciny i cinoutvorennja [Tourism: business processes, prices and pricing]. Kyiv. [in Ukrainian].
  2. Dritsakis, N., & Athanasiadis, S. (2008). An Econometric Model of Tourist Demand. Journal of Hospitality & Leisure Marketing, 7(2), 39-49.
  3. Garin-Munoz, T., & Amaral, T. P. (2000). An econometric model for international tourism flows to Spain. Applied Economics Letters, 7(8), 525-529.
  4. Lipyanina, Kh. V. (2018). Rozrobka informatsiynoyi tekhnolohiyi korelyatsiynoho analizu turystychnoho popytu [Development of information technology of correlation analysis of tourist demand]. Audyt tekhnologhiyi ta vyrobnychi rezervy – Technology audit and production reserves, 6/2(44), 16-21. [in Ukrainian].
  5. Witt, S. F., & Martin, C. A. (1987). Econometric Models for Forecasting International Tourism Demand. Journal of Travel Research, 25(3), 23-30.
  6. Morokhovych, V. S. (2017). Ekonomiko-matematychne modelyuvannya turystychnykh potokiv Zakarpats’koyi oblasti [Economic and mathematical modeling of tourist flows of Transcarpathian region]. In Naukovyy visnyk Uzhhorods’koho universytetu. Seriya: Ekonomika [Scientific Bulletin of Uzhhorod University. Series: Economics]: Vol. 1 (pp. 143-146). [in Ukrainian].
  7. Wołoszyn, A., Stanisławska, J., & Głowicka-Wołoszyn, R. (2013). Przestrzenne zróżnicowanie popytu na turystykę zorganizowaną w Polsce [Spatial differentiation of demand for organized tourism in Poland]. Handel Wewnętrzny – Internal Trade, 5(1), 189-200. [in Рolish].
  8. Pidhornyy, A. Z. (Ed.) (2012). Metodolohiya statystychnoho zabezpechennya rozvytku rehionu [Methodology of statistical support for the development of the region]. Odesa. [in Ukrainian].
  9. Pro skhvalennya Stratehiyi rozvytku turyzmu ta kurortiv na period do 2026 roku [On approval of the Strategy of tourism and resorts development for the period up to 2026] (2017). Order of the Cabinet of Ministers of Ukraine, adopted on 2017, March 16, 168-r. Government portal: Website. Retrieved from https://www.kmu.gov.ua/ua/npas/249826501 [іn Ukrainian].
  10. Dziedzic, E., & Skalska, T. (2012). Ekonomiczne uwarunkowania rozwoju usług turystycznych w Polsce [Economic conditions for the development of tourist services in Poland]. Warszawa: Stowarzyszenie na rzecz badania, rozwoju i promocji turystyki. [in Рolish].
  11. State Statistics Service of Ukraine: Website (2019). Retrieved from http://www.ukrstat.gov.ua [in Ukranian].


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